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𝗗𝗲𝗺𝘆𝘀𝘁𝗶𝗳𝘆𝗶𝗻𝗴 𝗙𝗹𝘂𝗶𝗱: the most efficient DeFi protocol. We're excited to unpack Fluid's game-changing innovations: - Lending + DEX fusion - Liquidity↔Logic separation - Position & Liquidation aggregation into ticks ⇒ All unlocking 0.1% liq fees & 98% LTVs 1/

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cyber•Fund

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29,552 görüntüleme • 1 yıl önce •via X (Twitter)

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2/ Fluid's growth. Since its launch last year, Fluid took DeFi space by storm: ‣ Grew its Lend/Borrow protocol Vault to $1B TVL ‣ Enabled trading on top, doing up to 20% of Ethereum DEX volume ‣ Became #2 DEX on Ethereum All thx to design unlocks↓

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3/ Fluid design break-throughs. A. Fluid liquidates: ‣ At higher LTVs, up to 98% ‣ With lower discounts, as low as 0.1% ‣ Just enough to make positions safe B. Fluid DEX liquidity comes from Vault's collateral & debt, collapsing opportunity cost. How is this possible?↓

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4/ Fluid high-level architecture. At Fluid's core is *Liquidity Layer* where all assets are stored, and on top of which subprotocols (Vault & DEX) are built to tap into the same liquidity. This design allows to combine DEX & Lending, pushing capital efficiency to its limits.

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5/ Liquidity Layer. On a high level Liquidity Layer is a regular lending protocol, but it serves Fluid's subprotocols instead of users. It has withdrawal and borrowing limits that help keep rates stable, especially during black swan events.

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6/ Fluid Vault. Each Vault is a predefined pair of collateral and debt tokens. User can borrow X by supplying Y and keeping X/Y ratio healthy. Thanks to Liquidity Layer, collateral can be reused across other Vaults, while both collateral & debt can be supplied to Fluid DEX.

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7/ Ticks. In Vault, positions are aggregated into ticks, according to debt/collateral ratio Just as UniV3 ticks revolutionized AMMs, Fluid ticks are reimagining lending—enabling 98% LTV with 0.1% liq fees, best parameters on the market How? Via unique liquidation mechanism:

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8/ What is a liquidation? When User borrows X against Y, if Y drops user can be liquidated. Liquidator "buys" user's collateral at discount to repay debt. Traditionally liquidations happen separately per position and users lose more collateral than needed. But not in Vault↓

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9/ Liquidations in Vault. Fluid groups positions into "ticks" (by debt/collateral ratio): no more separate positions. Liquidation threshold tick = ratio above which positions can be liquidated. On a pic below positions don't move; liquidation tick changes as price fluctuates.

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10/ Ticks are sorted from riskiest to safest. One liquidation step affects ALL positions in the tick that's being liquidated. Liquidations start from the riskiest tick and go down, until all positions moved to the current liquidation threshold tick.

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11/ Here you can see an example animation of how initialization and liquidations of positions are happening in Vault subprotocol.

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12/ Read the full deep dive here:

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13/ Stay tuned for the second part of our Fluid series: deep-dive on Fluid' DEX. We will cover the design of "smart" collateral/debt, which allows Fluid to use its liquidity *simultaneously* for both borrowing & trading, with today's volume reaching $300M+/day.

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14/ Special thanks go to @DeFi_Made_Here and to @MixBytes for their invaluable feedback.

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Do you want another ripple:native thesis on how Ripple is positioning XRP to modernize the whole financial system? Look at private credit. This is one of those markets most people never think about because it does not move like stocks, crypto, or even government bonds. A private-credit loan can be worth hundreds of millions of dollars. The borrower pays interest. The lender earns a return. The asset itself can be valuable. But there is one huge problem. It can be extremely hard to move. That is exactly what caught my attention in the Sandy Kaul and Anant Kumar discussion. Anant Kumar, from Benefit Street Partners, described the issue in a very simple way. Private credit has limited ownership. And it has almost no real secondary-market liquidity. A lender can originate a huge loan, but once that loan is sitting inside a fund, selling pieces of it is not as simple as selling a stock. That capital can stay trapped. Now imagine the same loan becoming digital. Not changing the economics of the loan. Not changing who the borrower is. Not changing who remains lender of record. Just changing how ownership can be represented. Instead of one giant $100M position sitting inside one structure, that loan could be represented as millions of smaller digital interests. Suddenly something that was hard to divide becomes divisible. Something that barely traded could potentially develop a secondary market. Something trapped inside one fund could become easier to distribute among approved investors. That is the part people should focus on. Because this is not some random idea coming from crypto Twitter. Sandy Kaul is Head of Digital Assets and Innovation at Franklin Templeton. Franklin Templeton manages roughly $1.78T. Anant Kumar is from Benefit Street Partners. And Franklin Templeton itself just closed a $1.5B Collateralized Fund Obligation tied to private equity secondaries and U.S. middle-market direct lending through Benefit Street Partners. So when they are talking about the problem of private-credit liquidity, they are talking about a market they actually operate inside. And this is where my ripple:native thesis gets much bigger. Because XRP Ledger is being built around the exact same problem. Not just payments. Not just moving stablecoins. Credit. Liquidity. Tokenized ownership. Secondary markets. Institutional lending. Collateral. That is what starts connecting everything. Private credit is already one of the largest categories inside tokenized real-world assets. Franklin Templeton’s own research says tokenized RWAs grew from around $5B in 2023 to more than $25B by early 2026. Private credit, Treasuries and real estate make up a major part of that growth. That tells me something important. Wall Street is not only tokenizing cash. It is beginning to tokenize assets that traditionally sit in some of the least liquid corners of finance. And private credit may be one of the biggest opportunities because liquidity is exactly where the pain is. Now look at XRPL. In 2025, VERT launched structured-credit infrastructure using XRP Ledger and its EVM sidechain. Its first live transaction was a BRL 700M Agribusiness Receivables Certificate. Roughly $130M. That is real structured credit. Recorded through infrastructure using XRPL. So when I hear Sandy Kaul and Anant Kumar talking about tokenizing private loans, I do not have to imagine whether XRPL could ever touch this market. It already has. That is only the beginning of the setup. The bigger piece is what Ripple is building directly into the network. The XRPL Lending Protocol. This is where everything starts making sense. Ripple has been very clear about the next stage of tokenization. Putting an asset onchain is not enough. A Treasury token sitting in a wallet is still just an asset sitting in a wallet. A private-credit token sitting in a wallet is still just a loan represented digitally. The real transformation happens when those assets can enter functioning capital markets. Borrowing. Lending. Liquidity. Collateral. Credit. That is exactly where the XRPL Lending Protocol is headed. Ripple explicitly names private credit among the assets that can move into this infrastructure, alongside Treasuries, money-market funds, stablecoins and commodities. That is a huge detail. Because private credit is not some side use case Ripple accidentally fits. It is literally one of the categories they are building around. Now add XLS-65. The Single Asset Vault design. This allows assets from multiple depositors to be pooled into one onchain vault. And that vault can hold XRP. Trust-line tokens. Or Multi-Purpose Tokens. Think about what that means in plain English. Today, one large institution may have to fund a giant private loan. Tomorrow, capital can potentially be pooled digitally. Thousands of approved investors contribute. The capital sits inside a common structure. A loan gets funded. The returns flow back through that structure. That is extremely close to what Anant Kumar is talking about when he says one loan could be split into smaller pieces. Now add XLS-66. The Lending Protocol. Fixed-term, uncollateralized lending. Credit underwriting stays offchain. The actual loan can be created and managed onchain. That detail matters more than people realize. Private credit is not anonymous DeFi. The borrower is evaluated. Creditworthiness matters. Interest matters. Terms matter. Default matters. Underwriting matters. XRPL is not trying to throw away that traditional credit process. It is trying to put the financial infrastructure around it onchain. That is why this feels much more institutional than a normal crypto lending protocol. And then you get to the liquidity problem. This is where Anant Kumar’s point becomes the whole thesis. Private-credit loans barely trade. If investors want redemptions, funds can have a problem. The assets may be good. The borrowers may be paying. But there may not be a deep market to sell into. That is trapped capital. Tokenization attacks that directly. Imagine one $100M private loan. Instead of treating it as one huge block, it becomes millions of smaller digital interests. Approved institutions can own pieces. Funds can rebalance. Banks can distribute exposure. Ownership can move without the whole loan changing hands as one giant object. Now put those interests on XRPL. They can be issued digitally. Held digitally. Transferred digitally. Settled digitally. Traded inside controlled markets. Used inside lending infrastructure. That is a completely different market structure. And XRPL is also building the control layer institutions need. Permissioned Domains. Permissioned DEXes. Credentials. Deep Freeze. Confidential Transfers. This is important because a bank is not going to take a $500M private-credit position and make it freely available to every random wallet in the world. Institutions need to control who can hold these assets. Who can trade them. Which jurisdiction they come from. Whether they satisfy eligibility rules. XRPL is being built for exactly that. You can have public blockchain infrastructure while still creating controlled markets where only approved participants transact. That solves one of the biggest objections banks have to permissionless finance. They do not need to choose between old closed systems and completely open anonymous markets. They can have digital assets with institutional rules built around them. That is where Permissioned DEXes become powerful. Imagine a tokenized private loan. Only approved investors can trade it. The loan still exists. The lender still exists. The borrower still exists. But now there is a secondary market. A fund needs liquidity? It can sell part of the position. Another institution wants exposure? It can buy a smaller piece. The market no longer depends on one giant bilateral transfer. That is how tokenization can start unlocking liquidity. And the more I look at this, the more I think ripple:native is being positioned for a much bigger role than people realize. Because every new tokenized asset creates another liquidity problem. Private credit token A. Private credit token B. Treasuries. Money-market funds. Stablecoins. Commercial paper. Tokenized deposits. Fund interests. Every asset needs somewhere to trade. Every institution needs somewhere to move value. Every market needs liquidity. You cannot have deep direct markets between every possible pair. That is where a common bridge asset becomes valuable. Private-credit token → ripple:native → RLUSD. RLUSD → ripple:native → another private-credit token. A European institution holds EUR liquidity and wants a U.S. private-credit position. EUR liquidity → ripple:native → RLUSD → tokenized credit. A fund wants to exit one credit position and move into another. Credit token A → ripple:native → RLUSD → credit token B. The more markets appear, the more possible routes exist. And the value of a common liquid bridge increases with the number of things it can connect. That is the part I think people still underestimate. ripple:native does not need every private-credit transaction to use XRP. It needs XRP to become useful wherever direct liquidity is weak. If XRPL becomes home to hundreds or thousands of tokenized credit instruments, there will always be fragmented liquidity somewhere. That is where deep XRP markets become valuable. Now add another piece that gets almost no attention. XRP itself can sit inside XLS-65 vault infrastructure. So XRP does not only have a potential role as bridge liquidity. It can also become pooled capital. That creates a completely different path. XRP goes into a vault. Vault capital gets pooled. The lending infrastructure uses that capital. Borrowers receive credit. Interest flows back through the structure. Now XRP is not just moving between markets. It is potentially sitting inside the capital base of the credit market itself. That is where the phrase “XRP utility is growing across payments, liquidity and credit markets” starts to make much more sense. Those are three completely different engines. Payments move value. Liquidity connects assets. Credit makes capital productive. Ripple is building around all three. Then you have ZILO and Licuido. Ripple invested in both to expand regulated transfer agency, tokenized issuance and collateral mobility on XRPL. That matters because a private-credit market is not just about issuing a token. Someone has to manage ownership records. Transfers. Servicing. Restrictions. Collateral. Secondary transactions. Settlement. If Ripple keeps adding these pieces, XRPL starts looking less like a blockchain with tokens on it and more like an operating system for financial assets. That is why Sandy Kaul’s broader thinking matters too. She has argued that blockchain is moving toward becoming a universal liquidity layer. Stablecoins. Tokenized cash. Lending. Collateral. Those are exactly the pieces appearing around XRPL. And I think private credit could be where this becomes impossible to ignore. Because the pain is so obvious. Imagine owning a valuable asset you cannot easily sell. That is private credit today. Imagine a fund holding billions in loans that barely trade. The assets are generating income. But if investors suddenly want cash, the fund cannot just tap a button and sell a fraction instantly. That is a huge weakness. Tokenization changes the unit of ownership. XRPL changes the infrastructure around that ownership. Permissioned markets change who can trade it. Lending turns those assets into productive capital. ripple:native can connect the liquidity between everything. That is the full setup. And now take it to the bullish extreme. Imagine private-credit managers start tokenizing at scale. A $500M fund does not hold 50 giant, isolated loan positions anymore. Each one becomes digitally represented. A $100M loan becomes 100M digital units worth $1 each. Approved investors can own smaller pieces. Funds can rebalance positions instead of selling whole loans. Banks can distribute exposure. Family offices can participate. Institutions can move capital without waiting for one buyer willing to absorb the entire block. Now imagine those assets living on XRPL. A fund wants to raise liquidity. It sells tokenized interests through a Permissioned DEX. Another approved institution takes the other side. Settlement happens digitally. RLUSD provides the dollar liquidity. XRP can bridge where direct liquidity is thin. The fund gets cash. The buyer gets credit exposure. The loan keeps performing. Nothing has to be dismantled. That is a much more efficient market. Then lending infrastructure goes live. An institution holds $200M of tokenized private credit. It does not want to sell. It wants liquidity. Instead of exiting the position, it uses that asset inside XRPL credit infrastructure. Capital gets unlocked. The institution receives liquidity. Moves into RLUSD. Then routes part of that capital through XRP into EUR. Now look at what XRP is sitting between. Private credit. Stablecoin liquidity. FX. Lending. Collateral. Global settlement. That is not a small use case. Now scale it. $100B of private credit on XRPL. Then $500B. Then $1T. Thousands of tokenized loans. Thousands of institutions. Loans constantly being issued. Traded. Financed. Pledged. Refinanced. Settled. Each new asset adds another market. Each new market needs liquidity. Each new participant creates another flow. And a common liquid bridge becomes more valuable as the network gets more complex. That is where ripple:native can become institutional credit-market liquidity. Not just a payment token. Not just a crypto trade. Liquidity sitting underneath a digital credit economy. And if that starts happening at hundreds of billions or trillions in scale, the XRP price conversation changes too. Market makers need inventory. Liquidity providers need inventory. Vaults can hold XRP. More XRP gets deployed inside financial infrastructure. The amount of financial value XRP markets have to support gets larger. If XRP is worth $1, $1B of XRP liquidity requires 1B XRP. At $10, it takes 100M. At $100, 10M. The higher the value of XRP, the more dollar liquidity each unit can represent. So if XRPL ever becomes a serious home for institutional private credit, the market may eventually have to price XRP around a completely different economic role. That is the thesis I keep coming back to. Sandy Kaul is talking about tokenizing private credit. Anant Kumar is talking about solving access and liquidity. Benefit Street Partners is operating directly in that market. Franklin Templeton is already deep in private markets. VERT has already put real structured-credit activity onto XRPL infrastructure. Ripple is building the Lending Protocol. XLS-65 can pool capital. XLS-66 can create fixed-term credit. Permissioned DEXes can create controlled secondary markets. Credentials can control eligibility. ZILO and Licuido expand issuance and collateral mobility. And ripple:native sits inside the liquidity and credit architecture. These are not separate stories to me anymore. They are all pieces of the same direction. Credit becomes digital. Digital credit becomes easier to divide. Divided credit becomes easier to trade. Tradable credit needs liquidity. Liquidity needs infrastructure. XRPL is being built for that infrastructure. And ripple:native can become part of the capital moving underneath it. That is why I think this private-credit conversation is one of the most underrated ripple:native theses right now. The endgame is not simply banks sending XRP across borders. The endgame could be XRP sitting inside a financial system where trillions of dollars of loans, Treasuries, stablecoins, funds and collateral move through the same liquidity network. That is a much bigger market than payments alone. And if Ripple gets this right, private credit may end up being one of the places where the world finally understands what they have been building. Remember this thesis when private credit starts moving onchain. If you understand where private credit is heading, you understand why I’m watching ripple:native.
0:24

Do you want another ripple:native thesis on how Ripple is positioning XRP to modernize the whole financial system? Look at private credit. This is one of those markets most people never think about because it does not move like stocks, crypto, or even government bonds. A private-credit loan can be worth hundreds of millions of dollars. The borrower pays interest. The lender earns a return. The asset itself can be valuable. But there is one huge problem. It can be extremely hard to move. That is exactly what caught my attention in the Sandy Kaul and Anant Kumar discussion. Anant Kumar, from Benefit Street Partners, described the issue in a very simple way. Private credit has limited ownership. And it has almost no real secondary-market liquidity. A lender can originate a huge loan, but once that loan is sitting inside a fund, selling pieces of it is not as simple as selling a stock. That capital can stay trapped. Now imagine the same loan becoming digital. Not changing the economics of the loan. Not changing who the borrower is. Not changing who remains lender of record. Just changing how ownership can be represented. Instead of one giant $100M position sitting inside one structure, that loan could be represented as millions of smaller digital interests. Suddenly something that was hard to divide becomes divisible. Something that barely traded could potentially develop a secondary market. Something trapped inside one fund could become easier to distribute among approved investors. That is the part people should focus on. Because this is not some random idea coming from crypto Twitter. Sandy Kaul is Head of Digital Assets and Innovation at Franklin Templeton. Franklin Templeton manages roughly $1.78T. Anant Kumar is from Benefit Street Partners. And Franklin Templeton itself just closed a $1.5B Collateralized Fund Obligation tied to private equity secondaries and U.S. middle-market direct lending through Benefit Street Partners. So when they are talking about the problem of private-credit liquidity, they are talking about a market they actually operate inside. And this is where my ripple:native thesis gets much bigger. Because XRP Ledger is being built around the exact same problem. Not just payments. Not just moving stablecoins. Credit. Liquidity. Tokenized ownership. Secondary markets. Institutional lending. Collateral. That is what starts connecting everything. Private credit is already one of the largest categories inside tokenized real-world assets. Franklin Templeton’s own research says tokenized RWAs grew from around $5B in 2023 to more than $25B by early 2026. Private credit, Treasuries and real estate make up a major part of that growth. That tells me something important. Wall Street is not only tokenizing cash. It is beginning to tokenize assets that traditionally sit in some of the least liquid corners of finance. And private credit may be one of the biggest opportunities because liquidity is exactly where the pain is. Now look at XRPL. In 2025, VERT launched structured-credit infrastructure using XRP Ledger and its EVM sidechain. Its first live transaction was a BRL 700M Agribusiness Receivables Certificate. Roughly $130M. That is real structured credit. Recorded through infrastructure using XRPL. So when I hear Sandy Kaul and Anant Kumar talking about tokenizing private loans, I do not have to imagine whether XRPL could ever touch this market. It already has. That is only the beginning of the setup. The bigger piece is what Ripple is building directly into the network. The XRPL Lending Protocol. This is where everything starts making sense. Ripple has been very clear about the next stage of tokenization. Putting an asset onchain is not enough. A Treasury token sitting in a wallet is still just an asset sitting in a wallet. A private-credit token sitting in a wallet is still just a loan represented digitally. The real transformation happens when those assets can enter functioning capital markets. Borrowing. Lending. Liquidity. Collateral. Credit. That is exactly where the XRPL Lending Protocol is headed. Ripple explicitly names private credit among the assets that can move into this infrastructure, alongside Treasuries, money-market funds, stablecoins and commodities. That is a huge detail. Because private credit is not some side use case Ripple accidentally fits. It is literally one of the categories they are building around. Now add XLS-65. The Single Asset Vault design. This allows assets from multiple depositors to be pooled into one onchain vault. And that vault can hold XRP. Trust-line tokens. Or Multi-Purpose Tokens. Think about what that means in plain English. Today, one large institution may have to fund a giant private loan. Tomorrow, capital can potentially be pooled digitally. Thousands of approved investors contribute. The capital sits inside a common structure. A loan gets funded. The returns flow back through that structure. That is extremely close to what Anant Kumar is talking about when he says one loan could be split into smaller pieces. Now add XLS-66. The Lending Protocol. Fixed-term, uncollateralized lending. Credit underwriting stays offchain. The actual loan can be created and managed onchain. That detail matters more than people realize. Private credit is not anonymous DeFi. The borrower is evaluated. Creditworthiness matters. Interest matters. Terms matter. Default matters. Underwriting matters. XRPL is not trying to throw away that traditional credit process. It is trying to put the financial infrastructure around it onchain. That is why this feels much more institutional than a normal crypto lending protocol. And then you get to the liquidity problem. This is where Anant Kumar’s point becomes the whole thesis. Private-credit loans barely trade. If investors want redemptions, funds can have a problem. The assets may be good. The borrowers may be paying. But there may not be a deep market to sell into. That is trapped capital. Tokenization attacks that directly. Imagine one $100M private loan. Instead of treating it as one huge block, it becomes millions of smaller digital interests. Approved institutions can own pieces. Funds can rebalance. Banks can distribute exposure. Ownership can move without the whole loan changing hands as one giant object. Now put those interests on XRPL. They can be issued digitally. Held digitally. Transferred digitally. Settled digitally. Traded inside controlled markets. Used inside lending infrastructure. That is a completely different market structure. And XRPL is also building the control layer institutions need. Permissioned Domains. Permissioned DEXes. Credentials. Deep Freeze. Confidential Transfers. This is important because a bank is not going to take a $500M private-credit position and make it freely available to every random wallet in the world. Institutions need to control who can hold these assets. Who can trade them. Which jurisdiction they come from. Whether they satisfy eligibility rules. XRPL is being built for exactly that. You can have public blockchain infrastructure while still creating controlled markets where only approved participants transact. That solves one of the biggest objections banks have to permissionless finance. They do not need to choose between old closed systems and completely open anonymous markets. They can have digital assets with institutional rules built around them. That is where Permissioned DEXes become powerful. Imagine a tokenized private loan. Only approved investors can trade it. The loan still exists. The lender still exists. The borrower still exists. But now there is a secondary market. A fund needs liquidity? It can sell part of the position. Another institution wants exposure? It can buy a smaller piece. The market no longer depends on one giant bilateral transfer. That is how tokenization can start unlocking liquidity. And the more I look at this, the more I think ripple:native is being positioned for a much bigger role than people realize. Because every new tokenized asset creates another liquidity problem. Private credit token A. Private credit token B. Treasuries. Money-market funds. Stablecoins. Commercial paper. Tokenized deposits. Fund interests. Every asset needs somewhere to trade. Every institution needs somewhere to move value. Every market needs liquidity. You cannot have deep direct markets between every possible pair. That is where a common bridge asset becomes valuable. Private-credit token → ripple:native → RLUSD. RLUSD → ripple:native → another private-credit token. A European institution holds EUR liquidity and wants a U.S. private-credit position. EUR liquidity → ripple:native → RLUSD → tokenized credit. A fund wants to exit one credit position and move into another. Credit token A → ripple:native → RLUSD → credit token B. The more markets appear, the more possible routes exist. And the value of a common liquid bridge increases with the number of things it can connect. That is the part I think people still underestimate. ripple:native does not need every private-credit transaction to use XRP. It needs XRP to become useful wherever direct liquidity is weak. If XRPL becomes home to hundreds or thousands of tokenized credit instruments, there will always be fragmented liquidity somewhere. That is where deep XRP markets become valuable. Now add another piece that gets almost no attention. XRP itself can sit inside XLS-65 vault infrastructure. So XRP does not only have a potential role as bridge liquidity. It can also become pooled capital. That creates a completely different path. XRP goes into a vault. Vault capital gets pooled. The lending infrastructure uses that capital. Borrowers receive credit. Interest flows back through the structure. Now XRP is not just moving between markets. It is potentially sitting inside the capital base of the credit market itself. That is where the phrase “XRP utility is growing across payments, liquidity and credit markets” starts to make much more sense. Those are three completely different engines. Payments move value. Liquidity connects assets. Credit makes capital productive. Ripple is building around all three. Then you have ZILO and Licuido. Ripple invested in both to expand regulated transfer agency, tokenized issuance and collateral mobility on XRPL. That matters because a private-credit market is not just about issuing a token. Someone has to manage ownership records. Transfers. Servicing. Restrictions. Collateral. Secondary transactions. Settlement. If Ripple keeps adding these pieces, XRPL starts looking less like a blockchain with tokens on it and more like an operating system for financial assets. That is why Sandy Kaul’s broader thinking matters too. She has argued that blockchain is moving toward becoming a universal liquidity layer. Stablecoins. Tokenized cash. Lending. Collateral. Those are exactly the pieces appearing around XRPL. And I think private credit could be where this becomes impossible to ignore. Because the pain is so obvious. Imagine owning a valuable asset you cannot easily sell. That is private credit today. Imagine a fund holding billions in loans that barely trade. The assets are generating income. But if investors suddenly want cash, the fund cannot just tap a button and sell a fraction instantly. That is a huge weakness. Tokenization changes the unit of ownership. XRPL changes the infrastructure around that ownership. Permissioned markets change who can trade it. Lending turns those assets into productive capital. ripple:native can connect the liquidity between everything. That is the full setup. And now take it to the bullish extreme. Imagine private-credit managers start tokenizing at scale. A $500M fund does not hold 50 giant, isolated loan positions anymore. Each one becomes digitally represented. A $100M loan becomes 100M digital units worth $1 each. Approved investors can own smaller pieces. Funds can rebalance positions instead of selling whole loans. Banks can distribute exposure. Family offices can participate. Institutions can move capital without waiting for one buyer willing to absorb the entire block. Now imagine those assets living on XRPL. A fund wants to raise liquidity. It sells tokenized interests through a Permissioned DEX. Another approved institution takes the other side. Settlement happens digitally. RLUSD provides the dollar liquidity. XRP can bridge where direct liquidity is thin. The fund gets cash. The buyer gets credit exposure. The loan keeps performing. Nothing has to be dismantled. That is a much more efficient market. Then lending infrastructure goes live. An institution holds $200M of tokenized private credit. It does not want to sell. It wants liquidity. Instead of exiting the position, it uses that asset inside XRPL credit infrastructure. Capital gets unlocked. The institution receives liquidity. Moves into RLUSD. Then routes part of that capital through XRP into EUR. Now look at what XRP is sitting between. Private credit. Stablecoin liquidity. FX. Lending. Collateral. Global settlement. That is not a small use case. Now scale it. $100B of private credit on XRPL. Then $500B. Then $1T. Thousands of tokenized loans. Thousands of institutions. Loans constantly being issued. Traded. Financed. Pledged. Refinanced. Settled. Each new asset adds another market. Each new market needs liquidity. Each new participant creates another flow. And a common liquid bridge becomes more valuable as the network gets more complex. That is where ripple:native can become institutional credit-market liquidity. Not just a payment token. Not just a crypto trade. Liquidity sitting underneath a digital credit economy. And if that starts happening at hundreds of billions or trillions in scale, the XRP price conversation changes too. Market makers need inventory. Liquidity providers need inventory. Vaults can hold XRP. More XRP gets deployed inside financial infrastructure. The amount of financial value XRP markets have to support gets larger. If XRP is worth $1, $1B of XRP liquidity requires 1B XRP. At $10, it takes 100M. At $100, 10M. The higher the value of XRP, the more dollar liquidity each unit can represent. So if XRPL ever becomes a serious home for institutional private credit, the market may eventually have to price XRP around a completely different economic role. That is the thesis I keep coming back to. Sandy Kaul is talking about tokenizing private credit. Anant Kumar is talking about solving access and liquidity. Benefit Street Partners is operating directly in that market. Franklin Templeton is already deep in private markets. VERT has already put real structured-credit activity onto XRPL infrastructure. Ripple is building the Lending Protocol. XLS-65 can pool capital. XLS-66 can create fixed-term credit. Permissioned DEXes can create controlled secondary markets. Credentials can control eligibility. ZILO and Licuido expand issuance and collateral mobility. And ripple:native sits inside the liquidity and credit architecture. These are not separate stories to me anymore. They are all pieces of the same direction. Credit becomes digital. Digital credit becomes easier to divide. Divided credit becomes easier to trade. Tradable credit needs liquidity. Liquidity needs infrastructure. XRPL is being built for that infrastructure. And ripple:native can become part of the capital moving underneath it. That is why I think this private-credit conversation is one of the most underrated ripple:native theses right now. The endgame is not simply banks sending XRP across borders. The endgame could be XRP sitting inside a financial system where trillions of dollars of loans, Treasuries, stablecoins, funds and collateral move through the same liquidity network. That is a much bigger market than payments alone. And if Ripple gets this right, private credit may end up being one of the places where the world finally understands what they have been building. Remember this thesis when private credit starts moving onchain. If you understand where private credit is heading, you understand why I’m watching ripple:native.

X Finance Bull

16,025 görüntüleme • 25 gün önce

Have you ever heard of a #DeFi project that uses artificial intelligence (AI) with the Nobel-prized Black-Scholes-Merton model? 🤔 We've seen a lot of platforms in our career, and we're very excited to announce a partnership with a platform that stands out in the #DeFi world - meet Brightpool.Finance! The #crypto market is well known for its volatility. Brightpool.Finance leverages AI to transform this volatility into trading opportunities for users. They are using AI-calculated trading rewards and a unique price-freezing feature. As a decentralized exchange, Brightpool rewards users for trading, unlike traditional platforms that charge fees. Their AI, uses the Black-Scholes-Merton model to optimize rewards and token generation. $BRIX, their native token thrives on market volatility, much like the VIX for stocks. As volatility spikes, so does BRIX’s value, offering a shield against market uncertainties. With $BRIX, minting tokens is all about placing bids. And with a halving mechanism, the early birds 🐦 get the worm. Just like the early #Bitcoin miners, early $BRIX miners will see much better rewards. Now you’re asking what are the key advantages for users of Brightpool.Finance? Let's summarize: 1. AI-Powered Trading - their innovative approach allows limit orders with AI-calculated rewards and price-freezing for DEX tokens, making trading more efficient and potentially more profitable. 2. Rewarding Every Order - unlike traditional platforms that are charging fees for transactions, Brightpool.Finance rewards users for every trading order placed. This unique feature ensures that users are compensated for their trading activity, enhancing the trading experience. 3. Innovative Mining Mechanism - with their proof-of-bid mechanism for mining $BRIX, users have the opportunity to mine BRIX by placing bids on the platform, with a halving mechanism that rewards early adopters significantly. 4. Zero Fees for Swaps - their platform offers swaps without any fees, eliminating the need for liquidity providers. This feature not only simplifies the trading process but also ensures that traders can swap tokens efficiently without incurring additional costs. 5. AI-Enhanced Rewards - their platform's AI-driven reward system awards platform tokens for trading. This means that beyond the inherent value of trading, users also gain additional rewards, boosting their overall gains from using the platform. 6. Income Allocation for Token Buyback - a significant portion of Brightpool.Finance income, 96%, is allocated to buyback tokens. This strategy not only supports the token's value but also reassures users of the platform's commitment to maintaining a healthy ecosystem. Conclusion Brightpool.Finance is setting a new standard in the #DeFi space by offering a user-centric platform that rewards trading activity, minimizes fees, and leverages AI to enhance trading outcomes. Whether you're a trader or want to explore a decentralized world, Brightpool Finance provides a compelling array of features designed to optimize your trading experience. Remember that the sooner you start minting, the bigger the rewards, as the benefits decrease with each halving phase. Access to the platform is restricted and accessible only via this link➡️
1:47

Have you ever heard of a #DeFi project that uses artificial intelligence (AI) with the Nobel-prized Black-Scholes-Merton model? 🤔 We've seen a lot of platforms in our career, and we're very excited to announce a partnership with a platform that stands out in the #DeFi world - meet Brightpool.Finance! The #crypto market is well known for its volatility. Brightpool.Finance leverages AI to transform this volatility into trading opportunities for users. They are using AI-calculated trading rewards and a unique price-freezing feature. As a decentralized exchange, Brightpool rewards users for trading, unlike traditional platforms that charge fees. Their AI, uses the Black-Scholes-Merton model to optimize rewards and token generation. $BRIX, their native token thrives on market volatility, much like the VIX for stocks. As volatility spikes, so does BRIX’s value, offering a shield against market uncertainties. With $BRIX, minting tokens is all about placing bids. And with a halving mechanism, the early birds 🐦 get the worm. Just like the early #Bitcoin miners, early $BRIX miners will see much better rewards. Now you’re asking what are the key advantages for users of Brightpool.Finance? Let's summarize: 1. AI-Powered Trading - their innovative approach allows limit orders with AI-calculated rewards and price-freezing for DEX tokens, making trading more efficient and potentially more profitable. 2. Rewarding Every Order - unlike traditional platforms that are charging fees for transactions, Brightpool.Finance rewards users for every trading order placed. This unique feature ensures that users are compensated for their trading activity, enhancing the trading experience. 3. Innovative Mining Mechanism - with their proof-of-bid mechanism for mining $BRIX, users have the opportunity to mine BRIX by placing bids on the platform, with a halving mechanism that rewards early adopters significantly. 4. Zero Fees for Swaps - their platform offers swaps without any fees, eliminating the need for liquidity providers. This feature not only simplifies the trading process but also ensures that traders can swap tokens efficiently without incurring additional costs. 5. AI-Enhanced Rewards - their platform's AI-driven reward system awards platform tokens for trading. This means that beyond the inherent value of trading, users also gain additional rewards, boosting their overall gains from using the platform. 6. Income Allocation for Token Buyback - a significant portion of Brightpool.Finance income, 96%, is allocated to buyback tokens. This strategy not only supports the token's value but also reassures users of the platform's commitment to maintaining a healthy ecosystem. Conclusion Brightpool.Finance is setting a new standard in the #DeFi space by offering a user-centric platform that rewards trading activity, minimizes fees, and leverages AI to enhance trading outcomes. Whether you're a trader or want to explore a decentralized world, Brightpool Finance provides a compelling array of features designed to optimize your trading experience. Remember that the sooner you start minting, the bigger the rewards, as the benefits decrease with each halving phase. Access to the platform is restricted and accessible only via this link➡️

THE ₿IRB NEST

66,905 görüntüleme • 2 yıl önce

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂
0:18

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂

WINR

37,919 görüntüleme • 2 yıl önce

Magic LUM and the Booster ⚡️🐙🪷 The birth of Magic LUM and the start of the Booster are together the most anticipated events for ShimmerSea so far! Magic LUM being the Governance Token of the protocol is the canter stage token on ShimmerSea. The activation of the Booster marks the start of a new token economic model in DeFi!🧵👇 🌐 📰 Magic LUM 🪷 Compared to $LUM which is the reward token of ShimmerSea, $MLUM is the Governance token of ShimmerSea and is therefore limited to 1 million tokens only!💎 Besides being limited in supply the token gives holders voting opportunities. These voting opportunities range from smaller every-day decisions like emission rates for $LUM in farms, to larger strategic decisions impacting the future of the protocol. Finally, holders get to earn all protocol revenue in USDT through a special staking pool, which will go live on IOTA EVM. This includes revenue from trading fees on the DEX and the NFT marketplace, deposit fees, and revenue from fair launches. Until #IOTA EVM a Lumi locked $MLUM->$LUM staking pool will be available. Magic LUM Start and Distribution Magic LUM will start trading shortly before the Booster goes live. This Friday the 1st of March 2024, at 1pm CET the MLUM-USDT trading pool will go live. The pool will have a total liquidity of 50.000 USDT and 2.500 $MLUM. This makes an initial $MLUM price of 20$. Be cautious in the first days of trading as the total liquidity with 100.000 $ value is comparably low! High volatility is to be expected! The initial liquidity will be locked with Hedgey. All other $MLUM tokens will either be locked in the Booster, locked with Hedgey 🦔 or only minted later on IOTA EVM. On IOTA EVM the team allocation will be locked in the $MLUM staking pool for another minimum of 6 months and a maximum of 12 months. All other not yet distributed $MLUM tokens will be locked in the new Booster contract on IOTA EVM where they will be distributed over the coming years. Magic LUM distribution: Booster — 79.5 % Team — 20 % Treasury — 0.5 % Shortly after trading starts on the 1st of March, 2024 at 4pm CET, the Booster goes live and everyone can start refining their $LUM to $MLUM. The first month the Booster will have an increased $MLUM emission rate! On March the 2nd at 8pm the MLUM-USDT farm will go live. The Booster ⚡️ The Booster is a special staking pool in which you can refine $LUM to $MLUM. The smart contract works similar to a staking pool with some important modifications. Just like a staking pool a fixed amount of $MLUM tokens is distributed per second through the Booster. The amount of $MLUM a staker earns depends on his share of $LUM allocated into the smart contract. Different to a standard staking pool, the Booster burns the allocated $LUM on a percent basis. This means that your $LUM stake is burned away while the booster rewards you with $MLUM. The emission rate of the Booster in the first month is 30.000 $MLUM and continues with 13.200 $MLUM per month. Security is at the centre of what we do at ShimmerSea. Therefore, the Smart Contract Booster has been audited twice by HashEx Blockchain Security and as well has been audited by AuditOne. Timeline The birth of $MLUM and the activation of the Booster are two events that happen in sequence. Following all the dates around the launch can be seen: 📅 Friday - 01.03.2024 🕚 11:00am CET - $MLUM gets listed 🕐 1:00pm CET - $MLUM/ $USDT pool start 🕗 8:00pm CET - The Booster goes live! 📅 Saturday - 02.03.2024 🕗 8:00pm CET - $MLUM/ $USDT Farm starts - $LUM/ $USDT Farm starts - $MLUM -> $LUM staking pool Outlook With Magic LUM and the Booster also new farms are being issued for Magic LUM and LUM. The new farms are rewarding liquidity pools with USDT. This will give both tokens, $LUM and $MLUM more price stability. On the horizon we can already see the next big event approaching: ShimmerSea scaling to IOTA EVM. With this, ShimmerSea will evolve to a multi-chain DEX! With this magic evolution the last major puzzle piece of the protocol tokenomics will also go live: The $MLUM staking pool which distributes protocol revenue on IOTA EVM!💥 #ShimmerEVM
0:48

Magic LUM and the Booster ⚡️🐙🪷 The birth of Magic LUM and the start of the Booster are together the most anticipated events for ShimmerSea so far! Magic LUM being the Governance Token of the protocol is the canter stage token on ShimmerSea. The activation of the Booster marks the start of a new token economic model in DeFi!🧵👇 🌐 📰 Magic LUM 🪷 Compared to $LUM which is the reward token of ShimmerSea, $MLUM is the Governance token of ShimmerSea and is therefore limited to 1 million tokens only!💎 Besides being limited in supply the token gives holders voting opportunities. These voting opportunities range from smaller every-day decisions like emission rates for $LUM in farms, to larger strategic decisions impacting the future of the protocol. Finally, holders get to earn all protocol revenue in USDT through a special staking pool, which will go live on IOTA EVM. This includes revenue from trading fees on the DEX and the NFT marketplace, deposit fees, and revenue from fair launches. Until #IOTA EVM a Lumi locked $MLUM->$LUM staking pool will be available. Magic LUM Start and Distribution Magic LUM will start trading shortly before the Booster goes live. This Friday the 1st of March 2024, at 1pm CET the MLUM-USDT trading pool will go live. The pool will have a total liquidity of 50.000 USDT and 2.500 $MLUM. This makes an initial $MLUM price of 20$. Be cautious in the first days of trading as the total liquidity with 100.000 $ value is comparably low! High volatility is to be expected! The initial liquidity will be locked with Hedgey. All other $MLUM tokens will either be locked in the Booster, locked with Hedgey 🦔 or only minted later on IOTA EVM. On IOTA EVM the team allocation will be locked in the $MLUM staking pool for another minimum of 6 months and a maximum of 12 months. All other not yet distributed $MLUM tokens will be locked in the new Booster contract on IOTA EVM where they will be distributed over the coming years. Magic LUM distribution: Booster — 79.5 % Team — 20 % Treasury — 0.5 % Shortly after trading starts on the 1st of March, 2024 at 4pm CET, the Booster goes live and everyone can start refining their $LUM to $MLUM. The first month the Booster will have an increased $MLUM emission rate! On March the 2nd at 8pm the MLUM-USDT farm will go live. The Booster ⚡️ The Booster is a special staking pool in which you can refine $LUM to $MLUM. The smart contract works similar to a staking pool with some important modifications. Just like a staking pool a fixed amount of $MLUM tokens is distributed per second through the Booster. The amount of $MLUM a staker earns depends on his share of $LUM allocated into the smart contract. Different to a standard staking pool, the Booster burns the allocated $LUM on a percent basis. This means that your $LUM stake is burned away while the booster rewards you with $MLUM. The emission rate of the Booster in the first month is 30.000 $MLUM and continues with 13.200 $MLUM per month. Security is at the centre of what we do at ShimmerSea. Therefore, the Smart Contract Booster has been audited twice by HashEx Blockchain Security and as well has been audited by AuditOne. Timeline The birth of $MLUM and the activation of the Booster are two events that happen in sequence. Following all the dates around the launch can be seen: 📅 Friday - 01.03.2024 🕚 11:00am CET - $MLUM gets listed 🕐 1:00pm CET - $MLUM/ $USDT pool start 🕗 8:00pm CET - The Booster goes live! 📅 Saturday - 02.03.2024 🕗 8:00pm CET - $MLUM/ $USDT Farm starts - $LUM/ $USDT Farm starts - $MLUM -> $LUM staking pool Outlook With Magic LUM and the Booster also new farms are being issued for Magic LUM and LUM. The new farms are rewarding liquidity pools with USDT. This will give both tokens, $LUM and $MLUM more price stability. On the horizon we can already see the next big event approaching: ShimmerSea scaling to IOTA EVM. With this, ShimmerSea will evolve to a multi-chain DEX! With this magic evolution the last major puzzle piece of the protocol tokenomics will also go live: The $MLUM staking pool which distributes protocol revenue on IOTA EVM!💥 #ShimmerEVM

MagicSea

12,945 görüntüleme • 2 yıl önce

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated
1:23:35

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated

Moon Dev

11,948 görüntüleme • 6 ay önce

Debunking the Flat Bitcoin Theory 🧵 In the early days of Bitcoin (2009-2014) there was a massive amount of experimentation and innovation on bitcoin The first NFTs and cryptoart started on Bitcoin The first memecoins started on Bitcoin The first stablecoins and real world assets started on Bitcoin The first dapps started on Bitcoin The first DEX started on Bitcoin The first on-chain governance started on Bitcoin The first crypto degens were playing Satoshi Dice on Bitcoin But then the OP_RETURN wars happened and people like Luke Dashjr vilified innovation and scared builders away resulting in a long period of stagnation (2015-2023) This period of stagnation gave birth to the Flat Bitcoin Theory which infected the minds of nearly everyone The Flat Bitcoin Theory is a belief held by "Flat Bitcoiners" who think that Bitcoin is a boring blockchain that is not capable of the innovative use cases that we see on alt L1s like Ethereum or Solana But thankfully in January 2023 Casey burst onto the scene with the ordinals protocol and one by one people have been waking up from this lie and realizing that Bitcoin is actually multidimensional and capable of everything you could possibly imagine and more Since then Bitcoin has experienced a renaissance of innovation with a new set of builders picking up where the set of OG builders left off Jeremy Lin | 🔄 DotSwap (On Nexus) from DOTSWAP•DOTSWAP - Official has defied all FUD and delivered a trustless liquidity pool style experience on Bitcoin L1 for Runes with zero MEV Stan from Sats Terminal has built an advanced order routing and aggregation engine for Runes trading on Bitcoin L1 Scott | Bound from radFi has revived the Runes trenches with a token launchpad on Bitcoin L1 that thousands of people use every day Robin from Liquidium | Bitcoin Loans built a Runes and Ordinals lending protocol that has processed hundreds of millions of dollars of volume which proves that DeFi can thrive on Bitcoin L1 domo and Binari from BRC 2.0 and Tagga from Alkanes have been relentlessly pursing a vision for general purpose smart contracts on Bitcoin L1 TO from Pizza Pets built a fully on-chain multiplayer game directly on Bitcoin L1 Ken Liao from built a Bitcoin wallet for interacting with Bitcoin L1 dapps that is so sleek that it puts Ethereum's flagship wallet MetaMask to shame danny huuep from OnChainMonkey® pioneered a new way to store an entire 10K PFP collection on Bitcoin for only $23 that is now widely adopted by hundreds of other Ordinals collections SergeSats has formed the Bitcoin Art Society to preserve Bitcoin's on-chain culture for future generation has dedicated months of his life to ensuring that once a year there is a place where bitcoin builders can gather to celebrate experimentation on bitcoin at Bitcoin Summit Massive decentralized communities like the $DOG Army and Bitcoin Puppets have rallied together to support all of these innovations and champion the Bitcoin ecosystem Do not ever let anyone tell you that Bitcoin is not capable of something or that you must only use Bitcoin in a certain way The Bitcoin network is more secure and robust longterm when it is winning at developer mindshare and blocks are filled with a diverse set of on-chain activity It is up to us, the Ordinals, Runes, and Bitcoin DeFi ecosystem to be stewards of this technology now so go build the most badass applications possible and never stop fighting for innovation on Bitcoin!
13:29

Debunking the Flat Bitcoin Theory 🧵 In the early days of Bitcoin (2009-2014) there was a massive amount of experimentation and innovation on bitcoin The first NFTs and cryptoart started on Bitcoin The first memecoins started on Bitcoin The first stablecoins and real world assets started on Bitcoin The first dapps started on Bitcoin The first DEX started on Bitcoin The first on-chain governance started on Bitcoin The first crypto degens were playing Satoshi Dice on Bitcoin But then the OP_RETURN wars happened and people like Luke Dashjr vilified innovation and scared builders away resulting in a long period of stagnation (2015-2023) This period of stagnation gave birth to the Flat Bitcoin Theory which infected the minds of nearly everyone The Flat Bitcoin Theory is a belief held by "Flat Bitcoiners" who think that Bitcoin is a boring blockchain that is not capable of the innovative use cases that we see on alt L1s like Ethereum or Solana But thankfully in January 2023 Casey burst onto the scene with the ordinals protocol and one by one people have been waking up from this lie and realizing that Bitcoin is actually multidimensional and capable of everything you could possibly imagine and more Since then Bitcoin has experienced a renaissance of innovation with a new set of builders picking up where the set of OG builders left off Jeremy Lin | 🔄 DotSwap (On Nexus) from DOTSWAP•DOTSWAP - Official has defied all FUD and delivered a trustless liquidity pool style experience on Bitcoin L1 for Runes with zero MEV Stan from Sats Terminal has built an advanced order routing and aggregation engine for Runes trading on Bitcoin L1 Scott | Bound from radFi has revived the Runes trenches with a token launchpad on Bitcoin L1 that thousands of people use every day Robin from Liquidium | Bitcoin Loans built a Runes and Ordinals lending protocol that has processed hundreds of millions of dollars of volume which proves that DeFi can thrive on Bitcoin L1 domo and Binari from BRC 2.0 and Tagga from Alkanes have been relentlessly pursing a vision for general purpose smart contracts on Bitcoin L1 TO from Pizza Pets built a fully on-chain multiplayer game directly on Bitcoin L1 Ken Liao from built a Bitcoin wallet for interacting with Bitcoin L1 dapps that is so sleek that it puts Ethereum's flagship wallet MetaMask to shame danny huuep from OnChainMonkey® pioneered a new way to store an entire 10K PFP collection on Bitcoin for only $23 that is now widely adopted by hundreds of other Ordinals collections SergeSats has formed the Bitcoin Art Society to preserve Bitcoin's on-chain culture for future generation has dedicated months of his life to ensuring that once a year there is a place where bitcoin builders can gather to celebrate experimentation on bitcoin at Bitcoin Summit Massive decentralized communities like the $DOG Army and Bitcoin Puppets have rallied together to support all of these innovations and champion the Bitcoin ecosystem Do not ever let anyone tell you that Bitcoin is not capable of something or that you must only use Bitcoin in a certain way The Bitcoin network is more secure and robust longterm when it is winning at developer mindshare and blocks are filled with a diverse set of on-chain activity It is up to us, the Ordinals, Runes, and Bitcoin DeFi ecosystem to be stewards of this technology now so go build the most badass applications possible and never stop fighting for innovation on Bitcoin!

Leonidas 🧡 $DOG

63,084 görüntüleme • 1 yıl önce

📢 $BVM MARCH UPDATES 📢 GM. In Feb, we added these products to the BVM ecosystem: ✅BVM Staking, ✅Bitcoin Stamps, ✅SRC-20 Bridge, ✅Avail, ✅Jackal, ✅Arweave & ✅ IPFS. We're excited to share with the community what we’re shipping next in March. 1. FOUR MORE BITCOIN L2 BLOCKCHAINS BVM’s mission is to scale Bitcoin by powering thousands of Bitcoin L2s. In March, we’ll work with 4 different builders to help them launch their own Bitcoin L2 blockchains and ultimately scale Bitcoin with unlimited throughput and rich user cases. ⛓️ Swamps: DeFi Bitcoin L2 for SRC-20 @swamps_src20 is launching the first-ever Stamps-based Bitcoin L2 blockchain with BVM, designed for SRC-20 DEX. We’re super excited to be working with @0xnovae5Db RMZ 🟨 and the Swamps team. ⛓️ Naka: DeFi Bitcoin L2 for BRC-20/BRC-404 Naka Chain is an Ordinals-based Bitcoin L2 blockchain designed for BRC-20. They just added support for BRC-404. We're excited to work with DeBit | NakaChain.xyz and the Naka team. ⛓️ Satoshi Sync: Bitcoin L2 for Inscription Markets SatoshiSync is building the first chain-agnostic Inscription Protocol with BVM, enabling everyone to launch their own Inscription Market. It’s been a pleasure working with @okubalinska and the Satoshi Sync team. ⛓️ ███████: Bitcoin L2 for ████ This is a big one. We'll share it when it's ready. Super excited to be working on this with ███████ and the ███████ team. Note: If you're thinking about launching your own Bitcoin L2, please DM us. Would love to help! 2. BITCOIN MODULE STORE BVM is a modular Bitcoin L2 infrastructure. The more building blocks, the more developers can build on Bitcoin. This month, we’ll be adding these new modules to the Bitcoin Modular Store. 🧱 Filecoin Filecoin is one of the best decentralized storage networks. Developers can build their Bitcoin L2 and choose Filecoin to store their data. 🧱 Syscoin zkDA Syscoin is a Bitcoin-backed Data Availability layer. It is secured by Bitcoin’s own PoW plus Syscoin’s finality. We think it's a super interesting DA solution. 🧱 BVM-ETH Bridge Ethereum bridge will enable us to flow assets between BVM and Ethereum. You can trade $BVM on Uniswap or bridge ETH to various Bitcoin L2 blockchains powered by BVM. Note: please do make suggestions on which modules we should integrate next! 3. BRC-404 Starting out as a fun weekend experiment, BRC-404 shows us that it could become a promising protocol. $3.5M trading volume so far! 🤯🤯🤯 🎨 Fractionalize Ordinals with BRC-404 The idea is to take an existing Ordinal Inscription and turn it into BRC-404. Then, Ordinals would be much more accessible to many smaller buyers, and at the same time, the collectors would make a lot more on trading fees. That's really the beauty of semi-fungible tokens. You can move between the fungible worlds and the non-fungible worlds. 🔒 ███████ for BRC-404 This product is exciting. We can't quite talk about it yet. But we'll do it when it's ready later this month. 4. COMMUNITY While our product team is busy crunching out code, our community team is building the foundation for our community to thrive in the coming months. 🚀 Setup a home for BVM holders to hang out 🚀 Work on airdrop deals for BVM holders 🚀 List BVM on Coin Market Cap 🚀 List BVM on Gecko Terminal 🚀 List BVM on DEX 🚀 List BVM on CEX This is our plan for March. We hope to get most of it done for the community. See you on #Bitcoin
2:16

📢 $BVM MARCH UPDATES 📢 GM. In Feb, we added these products to the BVM ecosystem: ✅BVM Staking, ✅Bitcoin Stamps, ✅SRC-20 Bridge, ✅Avail, ✅Jackal, ✅Arweave & ✅ IPFS. We're excited to share with the community what we’re shipping next in March. 1. FOUR MORE BITCOIN L2 BLOCKCHAINS BVM’s mission is to scale Bitcoin by powering thousands of Bitcoin L2s. In March, we’ll work with 4 different builders to help them launch their own Bitcoin L2 blockchains and ultimately scale Bitcoin with unlimited throughput and rich user cases. ⛓️ Swamps: DeFi Bitcoin L2 for SRC-20 @swamps_src20 is launching the first-ever Stamps-based Bitcoin L2 blockchain with BVM, designed for SRC-20 DEX. We’re super excited to be working with @0xnovae5Db RMZ 🟨 and the Swamps team. ⛓️ Naka: DeFi Bitcoin L2 for BRC-20/BRC-404 Naka Chain is an Ordinals-based Bitcoin L2 blockchain designed for BRC-20. They just added support for BRC-404. We're excited to work with DeBit | NakaChain.xyz and the Naka team. ⛓️ Satoshi Sync: Bitcoin L2 for Inscription Markets SatoshiSync is building the first chain-agnostic Inscription Protocol with BVM, enabling everyone to launch their own Inscription Market. It’s been a pleasure working with @okubalinska and the Satoshi Sync team. ⛓️ ███████: Bitcoin L2 for ████ This is a big one. We'll share it when it's ready. Super excited to be working on this with ███████ and the ███████ team. Note: If you're thinking about launching your own Bitcoin L2, please DM us. Would love to help! 2. BITCOIN MODULE STORE BVM is a modular Bitcoin L2 infrastructure. The more building blocks, the more developers can build on Bitcoin. This month, we’ll be adding these new modules to the Bitcoin Modular Store. 🧱 Filecoin Filecoin is one of the best decentralized storage networks. Developers can build their Bitcoin L2 and choose Filecoin to store their data. 🧱 Syscoin zkDA Syscoin is a Bitcoin-backed Data Availability layer. It is secured by Bitcoin’s own PoW plus Syscoin’s finality. We think it's a super interesting DA solution. 🧱 BVM-ETH Bridge Ethereum bridge will enable us to flow assets between BVM and Ethereum. You can trade $BVM on Uniswap or bridge ETH to various Bitcoin L2 blockchains powered by BVM. Note: please do make suggestions on which modules we should integrate next! 3. BRC-404 Starting out as a fun weekend experiment, BRC-404 shows us that it could become a promising protocol. $3.5M trading volume so far! 🤯🤯🤯 🎨 Fractionalize Ordinals with BRC-404 The idea is to take an existing Ordinal Inscription and turn it into BRC-404. Then, Ordinals would be much more accessible to many smaller buyers, and at the same time, the collectors would make a lot more on trading fees. That's really the beauty of semi-fungible tokens. You can move between the fungible worlds and the non-fungible worlds. 🔒 ███████ for BRC-404 This product is exciting. We can't quite talk about it yet. But we'll do it when it's ready later this month. 4. COMMUNITY While our product team is busy crunching out code, our community team is building the foundation for our community to thrive in the coming months. 🚀 Setup a home for BVM holders to hang out 🚀 Work on airdrop deals for BVM holders 🚀 List BVM on Coin Market Cap 🚀 List BVM on Gecko Terminal 🚀 List BVM on DEX 🚀 List BVM on CEX This is our plan for March. We hope to get most of it done for the community. See you on #Bitcoin

Bitcoin Virtual Machine

32,165 görüntüleme • 2 yıl önce

INTRODUCING SYMPHONY REWARDS: SWAP, EARN, & POWER UP New Infrastructure Upgrade and Campaign Goes Live at ~1pm ET/5pm UTC tomorrow, Tuesday, October 14, 2025 Symphony Exchange ( was built to be the most efficient, intuitive, and transparent DEX aggregator on Sei. While we're still in the early stages of our journey, one thing has always been clear: our community deserves to be rewarded for participating in the ecosystem we’re building. Today, we're excited to introduce Symphony Rewards, a long-term incentive program designed to reward real traders, build loyalty, and track participation for future rewards, including future Symphony tokens. Rewarding You With $SEIYAN Although Symphony does not yet have a native token, we’re enabling rewards through our sister project SEIYAN on SEI, which will also serve as a foundation for future incentive programs. ~5,000,000 $SEIYAN has been initially allocated for Symphony Rewards in its current phase. 2 basis point rebate (value calculated at the time of your trade) is rewarded per swap, excluding stablecoin-to-stablecoins and wrapping/unwrapping. Rewards claimable weekly, subject to ongoing adjustments and updates to anti-cheating mechanisms (including protections against sybil and wash trading; excessive attempts may result in exclusion of the wallets) This current campaign phase starts mid-day on October 14th and will last until all rewards are distributed. Power Level: Your On-Chain Reputation Every trader on Symphony will have a Power Level, which represents your aggregate trade volume across the platform. Your Power Level is more than just a number -- it's a reflection of your activity, consistency, and contribution to the Symphony ecosystem. This metric will be used as a tracking mechanism for potential future rewards, including the eventual Symphony token and other partner initiatives. Major Product Upgrade Alongside the launch of Symphony Rewards, we’re introducing two key improvements to enhance your trading experience: -Portfolio & Activity Log: You can now view your on-chain holdings and trade history directly by clicking the wallet button after connecting. -Speed Boost: Our quoting system has been optimized for sub-second response times, ensuring faster and more reliable trade execution across supported pools: Average old version API response time: 2828.84ms Average new version API response time: 395.98ms This translates to a whopping ~2.5 second average time difference! The Road Ahead Symphony is committed to building a sustainable and community-driven liquidity layer for Sei. Symphony Rewards is just the first step in that journey -- a way to recognize early adopters and contributors who are helping us shape the future of DeFi aggregation on Sei. We will also continue to explore ways to integrate more tightly with SEIYAN on SEI as well as other tokens on Sei. Trade. Earn. Build your Power Level. And stay tuned -- the Symphony has only just begun.
0:20

INTRODUCING SYMPHONY REWARDS: SWAP, EARN, & POWER UP New Infrastructure Upgrade and Campaign Goes Live at ~1pm ET/5pm UTC tomorrow, Tuesday, October 14, 2025 Symphony Exchange ( was built to be the most efficient, intuitive, and transparent DEX aggregator on Sei. While we're still in the early stages of our journey, one thing has always been clear: our community deserves to be rewarded for participating in the ecosystem we’re building. Today, we're excited to introduce Symphony Rewards, a long-term incentive program designed to reward real traders, build loyalty, and track participation for future rewards, including future Symphony tokens. Rewarding You With $SEIYAN Although Symphony does not yet have a native token, we’re enabling rewards through our sister project SEIYAN on SEI, which will also serve as a foundation for future incentive programs. ~5,000,000 $SEIYAN has been initially allocated for Symphony Rewards in its current phase. 2 basis point rebate (value calculated at the time of your trade) is rewarded per swap, excluding stablecoin-to-stablecoins and wrapping/unwrapping. Rewards claimable weekly, subject to ongoing adjustments and updates to anti-cheating mechanisms (including protections against sybil and wash trading; excessive attempts may result in exclusion of the wallets) This current campaign phase starts mid-day on October 14th and will last until all rewards are distributed. Power Level: Your On-Chain Reputation Every trader on Symphony will have a Power Level, which represents your aggregate trade volume across the platform. Your Power Level is more than just a number -- it's a reflection of your activity, consistency, and contribution to the Symphony ecosystem. This metric will be used as a tracking mechanism for potential future rewards, including the eventual Symphony token and other partner initiatives. Major Product Upgrade Alongside the launch of Symphony Rewards, we’re introducing two key improvements to enhance your trading experience: -Portfolio & Activity Log: You can now view your on-chain holdings and trade history directly by clicking the wallet button after connecting. -Speed Boost: Our quoting system has been optimized for sub-second response times, ensuring faster and more reliable trade execution across supported pools: Average old version API response time: 2828.84ms Average new version API response time: 395.98ms This translates to a whopping ~2.5 second average time difference! The Road Ahead Symphony is committed to building a sustainable and community-driven liquidity layer for Sei. Symphony Rewards is just the first step in that journey -- a way to recognize early adopters and contributors who are helping us shape the future of DeFi aggregation on Sei. We will also continue to explore ways to integrate more tightly with SEIYAN on SEI as well as other tokens on Sei. Trade. Earn. Build your Power Level. And stay tuned -- the Symphony has only just begun.

Symphony Exchange

14,981 görüntüleme • 11 ay önce

Has been a while since I've given an update so here's a breakdown of where Sappy is at right now and what we're focusing on going into this year. Pre-amble: With altcoins & NFTs the market is definitely not the same as it was before. I think this is obvious to everyone but I've noticed there are still japanese soldiers that are convinced old tricks and mechanics work. They don't. Liquidity is thin; people want to bid assets that feel like "real companies" not vacuous memecoins. There's still room for memecoins, social currencies, and "utility tokens" (I would say without these functions, tokens are hard to justify versus equities). I'm not part of the camp that thinks there will never be hyperspeculation in crypto again, because there will be; we all love ponzis and PvPing each other onchain. Just not with solved games -- people need something new and fresh. So the overarching plan is to continue building for users, sustainable revenues that aren't tied to directly to crypto, and doubling down on the areas that we've already found PMF / Brand Market Fit. Then leaning into crypto during cyclical periods where liquidity is sloshing around at an accelerated rate. Where we've found early PMF / what we're leaning into: Roblox: we're going to continue to go hard and accelerate here. It's our main objective to ship more seal/brainrot focused games across most genres to cast as wide of a net as we can for the brand, and to also iterate and see what works and stays sticky. Our initial incursion into Roblox was very successful peaking at 2M+ MAU and still sustaining a large portion of that player base... for all of its success, that was a relatively amateur first attempt; we've been setting up better AI pipelines for Roblox development that makes it reasonable to ship many more games and 10x those player counts in totality. It's my belief that Roblox is the sandbox whose audience will be the most valuable on the internet once they are grown up. That intense feeling you get when you see a TikTok referencing an old game you enjoyed on the PS2 or the Gamecube, or when you see a Pokemon card is the exact same feeling the youth of today will get when reminiscing on the things they enjoyed engaging with when they were younger. Fortnite and Roblox are functional equivalents to the old school consoles and exactly where that is taking place. Which is why as much as I care about scaling revenues through Roblox, the long term brand equity gained purely through being popular on the platform is totally invaluable. It also can heavily convert to merchandise sales today if all touchpoints for the brand are dialed in (which is why brands get overcharged so much by Roblox dev shops for the same ROI that only cost us a few thousand $). We have the playbook, it's just about iterating new concepts and then aggressively scaling. Brand Expansion & Merchandising: I've started to create a content pipeline that is easily repeatable, cost efficient (costs next to nothing through either AI or smart reusable concepts), while still being very tasteful and meeting our quality standards for the brand. We are mostly focusing here on reaching people where they're at through nostalgic/emotional content, or just being visually stimulating through carefully curated aesthetics. Content that isn't superficial and touches people in a memorable way. I've attached some examples to the post so you can see what I mean rather than just read it. I don't think it's long until larger brands start doing this at scale, but it's always good to be ahead of the curve and most importantly winning on taste -- knowing what will resonate with people and what won't has always been our edge. The purpose for these accounts is not only to rack up attention but also to begin converting those into sales of both of physicals (plushies & gacha collectibles) and digital avenues like our games, and any other apps we produce. Because they're offshoot accounts it's also a lot easier to be aggressive/experimental with said conversion strategies. Sappy Studio: I'm wrapping everything like Omnia, and everything else into this category because they're all tangentially related. Beginning with Omnia, our current focus is gearing up for Season 0 which involves players competing in the ranked ladder for a prize pool that has rewards through Monad Momentum as well as a player-funded prize pool. This season will be fairly simple with us mostly logging retention, deck building habits, as well as qualitatively observing how aggressively players push the combat system. Deeper monetization wont exist yet outside of the player buy-in (to be eligible for P2E rewards). Beyond that our overarching principle this year is to focus heavily on risk-to-earn mechanics where a portion of that excess value is circular i.e. revenues flow back to prize pools or other parts of the economy, treating the game almost like a protocol where the objective is to amass TVL or player liquidity. Social is also a big focus, and that means implementing the Open World hub which from an infrastructure perspective has already been built out and tested by all of you previously. Right now we are scaffolding the environment in 3D and working through how that hub should look and feel, so players are excited to hang out & idle together while they're queuing. For sappydotlol, what I'm about to say is still early days from a design perspective so a lot can change, but I'm pushing the site in the direction of being a virtual game console. An intersection between Nintendo & Myspace where users can play, trade, and socially interact in a way that's deeply personalised; a breathe of fresh air from the hostility of the current internet. If you go back to my thesis on Roblox above and the game console references, you can kind of see how this will all sequentially tie together. In essence, the strategy is to acquire a critical mass of players through traditional platforms like Roblox, and use that attention and trust to provide an onboarding funnel for web2 users into our own sandbox filled with a mixture of our own browser-based experiences as well as an aggregation of others. The aim is to make the platform a breath of fresh air & bunker from the enshittified platforms like TikTok/IG/X where users are actually served in ways that delight rather than agitate, and where self-expression is incentivised. Closing: As always everything here is subject to change but I've never felt more conviction in our direction until now; I know exactly what we need to do and how, with everything aligning with our team's strengths. Very excited and grinding through things to the point where I'm getting headaches and can't sleep from being hyperfocused for long periods of time lol. There probably has never been a better time to join the ecosystem from a price to fuck around and find out perspective.
1:00

Has been a while since I've given an update so here's a breakdown of where Sappy is at right now and what we're focusing on going into this year. Pre-amble: With altcoins & NFTs the market is definitely not the same as it was before. I think this is obvious to everyone but I've noticed there are still japanese soldiers that are convinced old tricks and mechanics work. They don't. Liquidity is thin; people want to bid assets that feel like "real companies" not vacuous memecoins. There's still room for memecoins, social currencies, and "utility tokens" (I would say without these functions, tokens are hard to justify versus equities). I'm not part of the camp that thinks there will never be hyperspeculation in crypto again, because there will be; we all love ponzis and PvPing each other onchain. Just not with solved games -- people need something new and fresh. So the overarching plan is to continue building for users, sustainable revenues that aren't tied to directly to crypto, and doubling down on the areas that we've already found PMF / Brand Market Fit. Then leaning into crypto during cyclical periods where liquidity is sloshing around at an accelerated rate. Where we've found early PMF / what we're leaning into: Roblox: we're going to continue to go hard and accelerate here. It's our main objective to ship more seal/brainrot focused games across most genres to cast as wide of a net as we can for the brand, and to also iterate and see what works and stays sticky. Our initial incursion into Roblox was very successful peaking at 2M+ MAU and still sustaining a large portion of that player base... for all of its success, that was a relatively amateur first attempt; we've been setting up better AI pipelines for Roblox development that makes it reasonable to ship many more games and 10x those player counts in totality. It's my belief that Roblox is the sandbox whose audience will be the most valuable on the internet once they are grown up. That intense feeling you get when you see a TikTok referencing an old game you enjoyed on the PS2 or the Gamecube, or when you see a Pokemon card is the exact same feeling the youth of today will get when reminiscing on the things they enjoyed engaging with when they were younger. Fortnite and Roblox are functional equivalents to the old school consoles and exactly where that is taking place. Which is why as much as I care about scaling revenues through Roblox, the long term brand equity gained purely through being popular on the platform is totally invaluable. It also can heavily convert to merchandise sales today if all touchpoints for the brand are dialed in (which is why brands get overcharged so much by Roblox dev shops for the same ROI that only cost us a few thousand $). We have the playbook, it's just about iterating new concepts and then aggressively scaling. Brand Expansion & Merchandising: I've started to create a content pipeline that is easily repeatable, cost efficient (costs next to nothing through either AI or smart reusable concepts), while still being very tasteful and meeting our quality standards for the brand. We are mostly focusing here on reaching people where they're at through nostalgic/emotional content, or just being visually stimulating through carefully curated aesthetics. Content that isn't superficial and touches people in a memorable way. I've attached some examples to the post so you can see what I mean rather than just read it. I don't think it's long until larger brands start doing this at scale, but it's always good to be ahead of the curve and most importantly winning on taste -- knowing what will resonate with people and what won't has always been our edge. The purpose for these accounts is not only to rack up attention but also to begin converting those into sales of both of physicals (plushies & gacha collectibles) and digital avenues like our games, and any other apps we produce. Because they're offshoot accounts it's also a lot easier to be aggressive/experimental with said conversion strategies. Sappy Studio: I'm wrapping everything like Omnia, and everything else into this category because they're all tangentially related. Beginning with Omnia, our current focus is gearing up for Season 0 which involves players competing in the ranked ladder for a prize pool that has rewards through Monad Momentum as well as a player-funded prize pool. This season will be fairly simple with us mostly logging retention, deck building habits, as well as qualitatively observing how aggressively players push the combat system. Deeper monetization wont exist yet outside of the player buy-in (to be eligible for P2E rewards). Beyond that our overarching principle this year is to focus heavily on risk-to-earn mechanics where a portion of that excess value is circular i.e. revenues flow back to prize pools or other parts of the economy, treating the game almost like a protocol where the objective is to amass TVL or player liquidity. Social is also a big focus, and that means implementing the Open World hub which from an infrastructure perspective has already been built out and tested by all of you previously. Right now we are scaffolding the environment in 3D and working through how that hub should look and feel, so players are excited to hang out & idle together while they're queuing. For sappydotlol, what I'm about to say is still early days from a design perspective so a lot can change, but I'm pushing the site in the direction of being a virtual game console. An intersection between Nintendo & Myspace where users can play, trade, and socially interact in a way that's deeply personalised; a breathe of fresh air from the hostility of the current internet. If you go back to my thesis on Roblox above and the game console references, you can kind of see how this will all sequentially tie together. In essence, the strategy is to acquire a critical mass of players through traditional platforms like Roblox, and use that attention and trust to provide an onboarding funnel for web2 users into our own sandbox filled with a mixture of our own browser-based experiences as well as an aggregation of others. The aim is to make the platform a breath of fresh air & bunker from the enshittified platforms like TikTok/IG/X where users are actually served in ways that delight rather than agitate, and where self-expression is incentivised. Closing: As always everything here is subject to change but I've never felt more conviction in our direction until now; I know exactly what we need to do and how, with everything aligning with our team's strengths. Very excited and grinding through things to the point where I'm getting headaches and can't sleep from being hyperfocused for long periods of time lol. There probably has never been a better time to join the ecosystem from a price to fuck around and find out perspective.

wab.eth

18,301 görüntüleme • 8 ay önce

Tokenization of real-world assets (RWAs) is one of the most transformative developments in finance and blockchain. Traditionally illiquid assets such as real estate, private equity, commodities, and art are digitized into blockchain-based tokens, enabling fractional ownership, greater liquidity, global accessibility, enhanced transparency, and efficient trading without intermediaries. Experts (incl. BlackRock) see tokenized RWAs as a multi-trillion-dollar shift. Projections range from hundreds of billions to trillions in coming years, driven by institutional adoption, clearer regulation, and scaling from pilots to production. Enter Realio Network ( a leading player built specifically to capture this RWA revolution. Realio Network’s Cutting-Edge Technology Realio Network is an interoperable Layer-1 blockchain developed using the Cosmos SDK, with full EVM compatibility (allowing Ethereum-style smart contracts) and powered by the Comet BFT (formerly Tendermint) consensus engine. It features a unique native multi-staking Proof-of-Stake (PoS) mechanism, the first of its kind, that secures the network not just with its native token but also with real-world value through staking of tokenized RWAs and hybrid security tokens. As a multi-chain ecosystem, Realio leverages the IBC protocol for seamless interoperability across EVM and non-EVM chains (like Ethereum, Algorand, Binance Smart Chain, Solana and Base - bridges), enabling compliant issuance, management, and trading of digitally native RWAs. It’s open-source, permissionless, and compliance-focused, bridging traditional finance (TradFi) with decentralized finance (DeFi) while reducing barriers for issuers and investors. The $RIO Token: The Heart of the Network $RIO is the native gas and utility token of the Realio Network. It powers all transactions on the chain paying for gas fees, executing smart contracts, and facilitating operations across the ecosystem. Validators and delegators can bond $RIO (along with other assets like security tokens) to secure the network and earn block rewards, creating a system backed by both crypto and real-world value. With a capped supply of 175million total, depending on sources and multi-chain presence, $RIO drives governance participation, staking rewards, and overall network utility. It’s purely a utility token (not an investment in the entity), with value driven by network adoption and speculation always DYOR. Realio isn’t just infrastructure it’s building a full ecosystem for RWAs. Starting with Freehold Wallet This non-custodial, multi-chain DeFi wallet app is built directly on Realio’s blockchain infrastructure. It offers secure management of digital assets across chains, portfolio analytics, staking, and investment tools with a beginner-friendly mobile experience (available on iOS). Freehold empowers users to access and interact with RWAs seamlessly, and it enables anyone to tokenize any RWAs on the Realio Network Layer-1 blockchain, lowering barriers for creators and issuers to bring real-world assets on-chain. Districts A real-world-themed immersive virtual world that connects physical and digital realities. Users can own tokenized districts (RWAs) and shape the virtual world. Built on Realio Layer-1 with its own token $DSTRX “Own a piece of the digital world. Shape its future. Build your legacy.” Adding $RST: Hybrid Equity & Security Token $RST is a pioneering hybrid digital security token in the Realio ecosystem. Issued under Reg D/S, it gives holders real equity ownership and profit-sharing in Realio Technology LTD (the entity behind the network’s IP and development), plus blockchain utility features. Realio Network leads the RWA boom with strong tech, $RIO utility token, and tools like Freehold + visionary Districts project. Worth exploring if you’re into tokenized assets always DYOR and mind the risks! #RWAtokenization #Crypto #bitcoin #Binance
5:44

Tokenization of real-world assets (RWAs) is one of the most transformative developments in finance and blockchain. Traditionally illiquid assets such as real estate, private equity, commodities, and art are digitized into blockchain-based tokens, enabling fractional ownership, greater liquidity, global accessibility, enhanced transparency, and efficient trading without intermediaries. Experts (incl. BlackRock) see tokenized RWAs as a multi-trillion-dollar shift. Projections range from hundreds of billions to trillions in coming years, driven by institutional adoption, clearer regulation, and scaling from pilots to production. Enter Realio Network ( a leading player built specifically to capture this RWA revolution. Realio Network’s Cutting-Edge Technology Realio Network is an interoperable Layer-1 blockchain developed using the Cosmos SDK, with full EVM compatibility (allowing Ethereum-style smart contracts) and powered by the Comet BFT (formerly Tendermint) consensus engine. It features a unique native multi-staking Proof-of-Stake (PoS) mechanism, the first of its kind, that secures the network not just with its native token but also with real-world value through staking of tokenized RWAs and hybrid security tokens. As a multi-chain ecosystem, Realio leverages the IBC protocol for seamless interoperability across EVM and non-EVM chains (like Ethereum, Algorand, Binance Smart Chain, Solana and Base - bridges), enabling compliant issuance, management, and trading of digitally native RWAs. It’s open-source, permissionless, and compliance-focused, bridging traditional finance (TradFi) with decentralized finance (DeFi) while reducing barriers for issuers and investors. The $RIO Token: The Heart of the Network $RIO is the native gas and utility token of the Realio Network. It powers all transactions on the chain paying for gas fees, executing smart contracts, and facilitating operations across the ecosystem. Validators and delegators can bond $RIO (along with other assets like security tokens) to secure the network and earn block rewards, creating a system backed by both crypto and real-world value. With a capped supply of 175million total, depending on sources and multi-chain presence, $RIO drives governance participation, staking rewards, and overall network utility. It’s purely a utility token (not an investment in the entity), with value driven by network adoption and speculation always DYOR. Realio isn’t just infrastructure it’s building a full ecosystem for RWAs. Starting with Freehold Wallet This non-custodial, multi-chain DeFi wallet app is built directly on Realio’s blockchain infrastructure. It offers secure management of digital assets across chains, portfolio analytics, staking, and investment tools with a beginner-friendly mobile experience (available on iOS). Freehold empowers users to access and interact with RWAs seamlessly, and it enables anyone to tokenize any RWAs on the Realio Network Layer-1 blockchain, lowering barriers for creators and issuers to bring real-world assets on-chain. Districts A real-world-themed immersive virtual world that connects physical and digital realities. Users can own tokenized districts (RWAs) and shape the virtual world. Built on Realio Layer-1 with its own token $DSTRX “Own a piece of the digital world. Shape its future. Build your legacy.” Adding $RST: Hybrid Equity & Security Token $RST is a pioneering hybrid digital security token in the Realio ecosystem. Issued under Reg D/S, it gives holders real equity ownership and profit-sharing in Realio Technology LTD (the entity behind the network’s IP and development), plus blockchain utility features. Realio Network leads the RWA boom with strong tech, $RIO utility token, and tools like Freehold + visionary Districts project. Worth exploring if you’re into tokenized assets always DYOR and mind the risks! #RWAtokenization #Crypto #bitcoin #Binance

JA

52,350 görüntüleme • 8 ay önce

Stop Gambling, Start Engineering: The Ultimate Guide To CCXT Algorithmic Trading most traders are essentially walking into a high stakes casino with a blindfold on while the house has a high speed laser aimed directly at their bankroll. if you have ever felt the soul crushing weight of a liquidation notification at three in the morning then you know the market is a 24/7 beast that eats human emotion for breakfast there is a hidden bridge that connects your laptop to almost every major crypto exchange in existence and once you cross it the game changes forever. my name is moon dev i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading so i learned to code as in the past i spent hundreds of thousands on devs for app, thinking i would not be able to code myself w/ bots you must iterate to success so i decided to learn live on youtube, and now we are here, fully automated systems trading for me instead of getting liquidated. the secret weapon behind this transition is a library called ccxt which acts as a universal translator for exchanges like binance, bybit, and kucoin most people think they need to spend years studying computer science just to place a single trade via code but that is a lie designed to keep you on the sidelines. the reality is that once you understand how to initialize a connection you can control your entire portfolio with just a few lines of logic. it starts with importing the library and setting up your credentials in a way that doesn't leave your keys exposed to the world the first mistake that bankrupts most manual traders is the inability to act fast enough when the trend shifts. when you build a bot the first thing you need to master is the market order because it allows you to enter or exit a position instantly regardless of the price. it is the ultimate panic button for when a strategy goes south or a massive opportunity presents itself while market orders are great for speed they are the fastest way to get eaten alive by fees if you are not careful. this is where the limit order comes into play allowing you to dictate exactly what price you are willing to pay for an asset. by using a create limit order function you can place your bids and asks in the order book and wait for the market to come to you most traders forget that once an order is placed it stays active until it is either filled or manually removed. i have seen countless accounts go to zero because a bot kept piling on buy orders without ever checking to see if the previous ones were canceled. the cancel all orders function is the invisible shield that prevents your algorithm from accidentally over leveraging your account the real magic happens when you realize you can cancel more than just basic limit orders. there are untriggered conditional orders like stop losses and take profits that often hide in the background of an exchange waiting to ruin your day. by passing specific parameters into your cancel function you can wipe the slate clean and ensure your bot is starting from a neutral state every single time if you want to know what the whales are doing before it shows up on a candle chart then you need to be looking at the raw order book. fetching the order book gives you a direct view of every single bid and ask currently sitting on the exchange. this is the most honest data you can get because it represents real money waiting to be filled at specific price levels you can actually parse this data to find the exact top of the bid and the bottom of the ask to ensure your bot always gets the best possible entry. most retail traders are looking at delayed charts while your bot is reading the tape in real time and calculating the spread. this allows you to place orders that are optimized for the current liquidity rather than just guessing where the price might go one of the biggest hurdles in automation is managing the sheer volume of data that an exchange throws at you. when you fetch open high low close volume data you are getting the historical heartbeat of an asset across any timeframe you choose. this data is the foundation of every technical indicator from simple moving averages to complex machine learning models the problem is that raw data is often a mess of lists and dictionaries that are impossible for a human or a simple script to read efficiently. this is why we use pandas to convert that garbage into a structured data frame that looks exactly like a clean spreadsheet. once your data is in a data frame you can calculate rsi or macd with a single line of code and visualize the entire market structure the path to becoming a successful automated trader is not a sprint but a series of iterations toward a system that works. i chose to learn this live in front of the world because i wanted to prove that anyone can escape the cycle of over trading. you don't need a million dollars to start but you do need a system that removes the human element from the equation if you are still clicking buttons on a website then you are competing against machines that can process thousands of data points per second. it is time to stop playing a rigged game and start building your own edge in the market. the code is there for anyone to grab and the only thing standing between you and a fully automated portfolio is the willingness to sit down and write the first line every algorithm you build is a brick in a wall that protects your capital from the emotional swings of the crypto market. i spend my days refining these systems and sharing the process because i know how lonely it feels to lose everything to a flash crash. we are building a community where code is the tool and financial freedom is the goal the final step is realizing that your balance is just a number that your bot needs to manage with cold logic. by fetching your balance frequently your bot can calculate position sizes based on your total equity ensuring that no single trade can ever wipe you out. this is the difference between gambling and systematic trading and it is accessible to anyone with an internet connection i hope you take these tools and start building something that allows you to sleep peacefully while the markets do their thing. the industry is secretive for a reason but we are breaking those walls down one line of code at a time. the journey is long but the reward of never having to worry about a liquidation again is worth every second of the struggle
1:09:25

Stop Gambling, Start Engineering: The Ultimate Guide To CCXT Algorithmic Trading most traders are essentially walking into a high stakes casino with a blindfold on while the house has a high speed laser aimed directly at their bankroll. if you have ever felt the soul crushing weight of a liquidation notification at three in the morning then you know the market is a 24/7 beast that eats human emotion for breakfast there is a hidden bridge that connects your laptop to almost every major crypto exchange in existence and once you cross it the game changes forever. my name is moon dev i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading so i learned to code as in the past i spent hundreds of thousands on devs for app, thinking i would not be able to code myself w/ bots you must iterate to success so i decided to learn live on youtube, and now we are here, fully automated systems trading for me instead of getting liquidated. the secret weapon behind this transition is a library called ccxt which acts as a universal translator for exchanges like binance, bybit, and kucoin most people think they need to spend years studying computer science just to place a single trade via code but that is a lie designed to keep you on the sidelines. the reality is that once you understand how to initialize a connection you can control your entire portfolio with just a few lines of logic. it starts with importing the library and setting up your credentials in a way that doesn't leave your keys exposed to the world the first mistake that bankrupts most manual traders is the inability to act fast enough when the trend shifts. when you build a bot the first thing you need to master is the market order because it allows you to enter or exit a position instantly regardless of the price. it is the ultimate panic button for when a strategy goes south or a massive opportunity presents itself while market orders are great for speed they are the fastest way to get eaten alive by fees if you are not careful. this is where the limit order comes into play allowing you to dictate exactly what price you are willing to pay for an asset. by using a create limit order function you can place your bids and asks in the order book and wait for the market to come to you most traders forget that once an order is placed it stays active until it is either filled or manually removed. i have seen countless accounts go to zero because a bot kept piling on buy orders without ever checking to see if the previous ones were canceled. the cancel all orders function is the invisible shield that prevents your algorithm from accidentally over leveraging your account the real magic happens when you realize you can cancel more than just basic limit orders. there are untriggered conditional orders like stop losses and take profits that often hide in the background of an exchange waiting to ruin your day. by passing specific parameters into your cancel function you can wipe the slate clean and ensure your bot is starting from a neutral state every single time if you want to know what the whales are doing before it shows up on a candle chart then you need to be looking at the raw order book. fetching the order book gives you a direct view of every single bid and ask currently sitting on the exchange. this is the most honest data you can get because it represents real money waiting to be filled at specific price levels you can actually parse this data to find the exact top of the bid and the bottom of the ask to ensure your bot always gets the best possible entry. most retail traders are looking at delayed charts while your bot is reading the tape in real time and calculating the spread. this allows you to place orders that are optimized for the current liquidity rather than just guessing where the price might go one of the biggest hurdles in automation is managing the sheer volume of data that an exchange throws at you. when you fetch open high low close volume data you are getting the historical heartbeat of an asset across any timeframe you choose. this data is the foundation of every technical indicator from simple moving averages to complex machine learning models the problem is that raw data is often a mess of lists and dictionaries that are impossible for a human or a simple script to read efficiently. this is why we use pandas to convert that garbage into a structured data frame that looks exactly like a clean spreadsheet. once your data is in a data frame you can calculate rsi or macd with a single line of code and visualize the entire market structure the path to becoming a successful automated trader is not a sprint but a series of iterations toward a system that works. i chose to learn this live in front of the world because i wanted to prove that anyone can escape the cycle of over trading. you don't need a million dollars to start but you do need a system that removes the human element from the equation if you are still clicking buttons on a website then you are competing against machines that can process thousands of data points per second. it is time to stop playing a rigged game and start building your own edge in the market. the code is there for anyone to grab and the only thing standing between you and a fully automated portfolio is the willingness to sit down and write the first line every algorithm you build is a brick in a wall that protects your capital from the emotional swings of the crypto market. i spend my days refining these systems and sharing the process because i know how lonely it feels to lose everything to a flash crash. we are building a community where code is the tool and financial freedom is the goal the final step is realizing that your balance is just a number that your bot needs to manage with cold logic. by fetching your balance frequently your bot can calculate position sizes based on your total equity ensuring that no single trade can ever wipe you out. this is the difference between gambling and systematic trading and it is accessible to anyone with an internet connection i hope you take these tools and start building something that allows you to sleep peacefully while the markets do their thing. the industry is secretive for a reason but we are breaking those walls down one line of code at a time. the journey is long but the reward of never having to worry about a liquidation again is worth every second of the struggle

Moon Dev

14,105 görüntüleme • 7 ay önce

The multi-leader blockchain endgame: competitive information inclusion as a self-reinforcing mechanism for global price discovery - how we got here, and why Aptos is leading the charge Onchain trading is the killer app In the nine years since the launch of programmable transactions on the Ethereum blockchain, onchain trading has revealed itself as the killer use case for blockchains: onchain listings, volume, and total value locked are all growing with no signs of slowing down, due to the censorship-resistant, permissionless, 24/7/365 qualities afforded by decentralized (DeFi) systems. Monolithic parallelism is key In 2020 Solana was first to market with monolithic, parallel execution (as opposed sharded execution which offers parallelism by partitioning global state into separate information silos), establishing a new design paradigm that raised the bar for throughput and latency: put all of the information in one replicated state machine and make it run as fast as possible. This design produces a single, global hub for activity, liquidity, and token launches, a kind of financial data whiteboard in the sky, where anyone can come and trade at any time with everybody else who has plugged into the system. DEXes are becoming more competitive Historically decentralized systems have been juxtaposed with centralized ones since the latter eliminates the overhead associated with distributed systems coordination. And yet despite this overhead, Solana as a decentralized exchange (DEX) is still pulling in billions of trading volume per day, exceeding that of all but the largest centralized crypto exchanges (CEXs), that simply can't compete with the giant DEX in the sky on token listings or fees. After all, CEXs have to pay for server space, salaries, and lawyers, while a DEX outsources everything. The colocation arms race The one place where CEXs have an advantage over DEXs is on end-to-end latency for colocation applications, or in other words: someone sets up a trading bot in the same data center as the exchange, and their trades get to the exchange faster than everyone else's. When there is only one data ingestion point the fastest trader wins, and after the arms race has played out everyone ends up huddling around the trading hub, effectively cutting off the rest of the world from playing the latency trading game. This is the model that traditional securities exchanges like the Nasdaq or the NYSE 🏛 employ, and because they own the server they can effectively charge whatever they want for access to it. The colocation arms race is also why L2s will probably never decentralize: running the sequencer is practically the same as running the NASDAQ, with the same monopoly on transaction fees collected from a nearby cluster of trading bots (I understand from conversations with Logan Jastremski that the Arbitrum arms race has already hit a Nash Equilibrium in Portland, Oregon). Colocation is a trap But once the colocation arms race has played out, trades become less about incorporating new information in the market and more about skimming off the top by spoofing all of the trades coming in from the other bots. High-frequency trading (HFT) bots located in the NYSE New Jersey data center, for example, are constantly placing buys and sell orders that they have no intention of executing, just to spoof the other colocated bots who are playing the same adversarial game. Information inclusion, on the other hand, the synthesis of real-time world events into prices, takes a back seat because anyone who tries to include new information first needs to batch up their order and send it through a series of middlemen before it ultimately ends up on the exchange: you, I, or practically any other individual can not actually "trade on the NASDAQ", no, we have to express our intent to someone like Robinhood, who then sells our order flow to @CitadelSecurities, who then sends it to the exchange, oh and by the way it doesn't actually even "clear" or "settle" once it "executes" because for whatever reason the whole systems splits these things up and prevents them from happening instantaneously even though it's 2024 and we have computers. Onchain trading cuts out middlemen This whole mess is why we have onchain trading, and why it's starting to win: if you want a mainline to the exchange, without setting up a server, and you want to trade on a news event without getting immediately frontrun by an HFT bot that is sniffing out the trades of every other HFT bot who is easing in batched up order flow on their own terms, then you submit your order to a node in the blockchain and the information gets included in the price upon ingestion. Oh, and by the way the trade is actually fully complete: settled, cleared, reconciled, done, whatever you want to call it, because the people who build decentralized finance (DeFi) build it how it should actually work, not in a way that creates a million incumbents and charges exorbitant rents for access to the system. Onchain trading better for price discovery And the beautiful part about this is that even if a distributed system has more latency than a centralized system, DeFi still ends up incorporating more information into the price faster than centralized finance, because with DeFi the information gets included in the system as soon as it is submitted, not after it has been batched up and sent through a series of middlemen. The consensus mechanism of the blockchain disseminates the information around the world in the form of a price update, while the centralized exchange model requires information about the event to first get propagate to the region of the trading hub, then to get submitted to the colocation server. This means that in terms of global price discovery, onchain trading is strictly a better system because the entire consensus model is based around accelerated information propagation. Because price discovery is a global phenomenon, blockchains, which are global, are actually better than the centralized status quo, on a performance basis, not just from an ideological or convenience-based view. And it has to be multi-leader In practice, effective global information synthesis of information has an additional key requirement: multi-leader architecture. That is, in a single-leader blockchain like Solana, where one validator at a time has a monopoly on ordering transactions into blocks, for their duration as a leader they effectively function as a colocation server. This means that if the current leader is in New York, someone in Singapore who wants to trade on local news as soon as it breaks will still need to get their order all the way around the world to the leader, who is effectively serving as the chain's data ingestion point, before the order can start propagating through the network. But this is issue solved by the introduction of multiple distributed leaders, because then anyone with access to new information can submit their order to the leader closest to them, yielding faster information inclusion in the form of price updates. Multi-leader is also required for fair markets A multi-leader architecture is also required for fair markets, because in a single-leader system the leader has the power to censor transactions, reorder them to their advantage, or even replace transactions with copycats that extract maximum value by replacing the sender's address with their own. For example if someone wants to capture an arbitrage opportunity between two onchain DEXes, they'll need to submit a transaction to the leader and trust that the leader won't simply copy the transaction and submit it themselves. But when there are two or more leaders, users whose transactions are censored by one leader will simply work with a different leader the next time around, eventually cutting off transaction fee flow to the extractive leader. Beyond just strict inclusion, in a multi-leader architecture validators are also forced to compete with each other on latency, because the leader who is fastest at disseminating users' transactions across the network will over time gobble up the largest share of the order flow. Transparent priority fees are a must, or a private mempool will emerge But in order to make this work, a multi-leader architecture must also offer users the ability to pay priority fees AKA "tips" or "bribes" to move their transaction to the front of the line: if there is a $5 arbitrage opportunity onchain, users need to have assurance that they if they pay a 4.99 priority fee to take that arb, they will get priority over a different user who is only willing to tip 4.98. If the native blockchain system does not offer this fair market priority fee mechanism, then it is only a matter of time before one spontaneously emerges in the form of a private mempool like , which can create centralization pressures and undermine the integrity of the system as a whole. Competitive payment for order flow is the stable solution With the right architecture in place, the end result is a competitive environment where endpoints running maximum extractable value (MEV) bots compete with one to offer users the best price for their order flow. In other words, if a user wants to submit an order that can get sandwich attacked for as much as $2 of MEV, then the order should ultimately go to the endpoint bot that is willing to pay the user as much as $1.99 for the right to process their transaction. The price that the provider is willing to pay is ultimately a function of how much in priority fees they might need to pay to the current leader (0 they are the current one), but notably at each stage there is a competitive market for order flow, whether in the form of retail trader's orders, or priority fees among bots that might be forwarding orders to one of the leaders. AptosLabs is already building all this With a public mempool and transaction priority fees, Aptos additionally includes a pipelined architecture that already includes concurrent batching of transactions into blocks, with a single consensus leader who propagates the batched blocks out to the network. And the team is already researching running multiple instances of the consensus algorithm in parallel, yielding multiple consensus leaders who can compete with each other on latency and inclusion - just ask pranav | Shelby, Alexander Spiegelman, and Zekun Li. This means that block times can shrink as the number of consensus leaders grows, with each leader having its own geographical radius of inclusion beyond which it makes more sense to submit to a different leader. The starting point? Something like 60 ms blocks and 3 consensus leaders, partitioning the global information space into competitive and constantly-rotating regions of information inclusion. Messaging is important With concurrent pipelined transaction batching, a public mempool, priority fees, and a clear path to a multi-leader architecture, Aptos leads the industry in onchain trading infrastructure that can truly supplant the centralized colocation paradigm that has heretofore dominated global finance - by offering a truly superior product. And I am hopeful that this deep dive is the first step in communicating not how or that superior product is getting built, but what it means from a bigger picture perspective. If blockchains have found product market fit in anything, it is in trading, and the trading game can only be won by building the biggest, baddest, most high performance system that has as its north star a single, concrete goal: constantly reducing, ever lower toward zero, time time it takes to incorporate information from anywhere in the world into the global price discovery computer. Whoever does this, even 1 ms faster than the competitor, wins the price discovery game, as other blockchains are left in the dust, their DEXes arbed away to zero against the fastest chain on the block. And sure, the blockchain that can rise to this challenge can also handle useful things like payments, NFTs, or other solutions that benefit from permissionlessness and low gas costs, but I want to impress that at the core of this pursuit must be the urge to drive down information inclusion latency to the absolute minimum afforded by the laws of physics through a competitive, market-driven environment. I call on avery.apt 🇺🇸 , CTO of Aptos Labs, to lean in on this messaging, to make it clear that Aptos is here for this singular mission, to build the most performant price discovery engine in history, as a rallying call for alignment in development efforts across the ecosystem and broader industry. Where does this go? As the latencies drop, the spreads tighten, and the information inclusion increases with every incremental increase in network bandwidth, we can expect a new class of competing techno-financial hubs that aggregate around the world's largest information sources: New York, Washington DC, London, Tokyo, etc., commanding stake distribution commensurate with the density of information flow in these respective locales. With the right incentives in place, competing concurrent leaders will invest ever more in infrastructure to get their packets out to the network faster than the rest, yielding clusters of fiber optic cable around the world's financial hubs, neurons in the global financial brain connecting not just HFT firms to servers in their city, but connecting every city with every other city, to move pricing information across oceans and continents. And retail traders, who have been left out of the colocation game, will only benefit: this entire system gets faster, more inclusive, with tighter spreads and lower fees, and it is such an amazing opportunity to watch all of this unfold in real time. The future of blockchains is the future of trading, is the future of competitive information inclusion in real-time, is the future of truly unified global markets, because at the the core of this industry is a simple idea: connect the computers, and see where the incentives lead. They lead to this, and Aptos is leading the charge, because its tech is purpose-built for this exact purpose. So tell the world about it.
2:41

The multi-leader blockchain endgame: competitive information inclusion as a self-reinforcing mechanism for global price discovery - how we got here, and why Aptos is leading the charge Onchain trading is the killer app In the nine years since the launch of programmable transactions on the Ethereum blockchain, onchain trading has revealed itself as the killer use case for blockchains: onchain listings, volume, and total value locked are all growing with no signs of slowing down, due to the censorship-resistant, permissionless, 24/7/365 qualities afforded by decentralized (DeFi) systems. Monolithic parallelism is key In 2020 Solana was first to market with monolithic, parallel execution (as opposed sharded execution which offers parallelism by partitioning global state into separate information silos), establishing a new design paradigm that raised the bar for throughput and latency: put all of the information in one replicated state machine and make it run as fast as possible. This design produces a single, global hub for activity, liquidity, and token launches, a kind of financial data whiteboard in the sky, where anyone can come and trade at any time with everybody else who has plugged into the system. DEXes are becoming more competitive Historically decentralized systems have been juxtaposed with centralized ones since the latter eliminates the overhead associated with distributed systems coordination. And yet despite this overhead, Solana as a decentralized exchange (DEX) is still pulling in billions of trading volume per day, exceeding that of all but the largest centralized crypto exchanges (CEXs), that simply can't compete with the giant DEX in the sky on token listings or fees. After all, CEXs have to pay for server space, salaries, and lawyers, while a DEX outsources everything. The colocation arms race The one place where CEXs have an advantage over DEXs is on end-to-end latency for colocation applications, or in other words: someone sets up a trading bot in the same data center as the exchange, and their trades get to the exchange faster than everyone else's. When there is only one data ingestion point the fastest trader wins, and after the arms race has played out everyone ends up huddling around the trading hub, effectively cutting off the rest of the world from playing the latency trading game. This is the model that traditional securities exchanges like the Nasdaq or the NYSE 🏛 employ, and because they own the server they can effectively charge whatever they want for access to it. The colocation arms race is also why L2s will probably never decentralize: running the sequencer is practically the same as running the NASDAQ, with the same monopoly on transaction fees collected from a nearby cluster of trading bots (I understand from conversations with Logan Jastremski that the Arbitrum arms race has already hit a Nash Equilibrium in Portland, Oregon). Colocation is a trap But once the colocation arms race has played out, trades become less about incorporating new information in the market and more about skimming off the top by spoofing all of the trades coming in from the other bots. High-frequency trading (HFT) bots located in the NYSE New Jersey data center, for example, are constantly placing buys and sell orders that they have no intention of executing, just to spoof the other colocated bots who are playing the same adversarial game. Information inclusion, on the other hand, the synthesis of real-time world events into prices, takes a back seat because anyone who tries to include new information first needs to batch up their order and send it through a series of middlemen before it ultimately ends up on the exchange: you, I, or practically any other individual can not actually "trade on the NASDAQ", no, we have to express our intent to someone like Robinhood, who then sells our order flow to @CitadelSecurities, who then sends it to the exchange, oh and by the way it doesn't actually even "clear" or "settle" once it "executes" because for whatever reason the whole systems splits these things up and prevents them from happening instantaneously even though it's 2024 and we have computers. Onchain trading cuts out middlemen This whole mess is why we have onchain trading, and why it's starting to win: if you want a mainline to the exchange, without setting up a server, and you want to trade on a news event without getting immediately frontrun by an HFT bot that is sniffing out the trades of every other HFT bot who is easing in batched up order flow on their own terms, then you submit your order to a node in the blockchain and the information gets included in the price upon ingestion. Oh, and by the way the trade is actually fully complete: settled, cleared, reconciled, done, whatever you want to call it, because the people who build decentralized finance (DeFi) build it how it should actually work, not in a way that creates a million incumbents and charges exorbitant rents for access to the system. Onchain trading better for price discovery And the beautiful part about this is that even if a distributed system has more latency than a centralized system, DeFi still ends up incorporating more information into the price faster than centralized finance, because with DeFi the information gets included in the system as soon as it is submitted, not after it has been batched up and sent through a series of middlemen. The consensus mechanism of the blockchain disseminates the information around the world in the form of a price update, while the centralized exchange model requires information about the event to first get propagate to the region of the trading hub, then to get submitted to the colocation server. This means that in terms of global price discovery, onchain trading is strictly a better system because the entire consensus model is based around accelerated information propagation. Because price discovery is a global phenomenon, blockchains, which are global, are actually better than the centralized status quo, on a performance basis, not just from an ideological or convenience-based view. And it has to be multi-leader In practice, effective global information synthesis of information has an additional key requirement: multi-leader architecture. That is, in a single-leader blockchain like Solana, where one validator at a time has a monopoly on ordering transactions into blocks, for their duration as a leader they effectively function as a colocation server. This means that if the current leader is in New York, someone in Singapore who wants to trade on local news as soon as it breaks will still need to get their order all the way around the world to the leader, who is effectively serving as the chain's data ingestion point, before the order can start propagating through the network. But this is issue solved by the introduction of multiple distributed leaders, because then anyone with access to new information can submit their order to the leader closest to them, yielding faster information inclusion in the form of price updates. Multi-leader is also required for fair markets A multi-leader architecture is also required for fair markets, because in a single-leader system the leader has the power to censor transactions, reorder them to their advantage, or even replace transactions with copycats that extract maximum value by replacing the sender's address with their own. For example if someone wants to capture an arbitrage opportunity between two onchain DEXes, they'll need to submit a transaction to the leader and trust that the leader won't simply copy the transaction and submit it themselves. But when there are two or more leaders, users whose transactions are censored by one leader will simply work with a different leader the next time around, eventually cutting off transaction fee flow to the extractive leader. Beyond just strict inclusion, in a multi-leader architecture validators are also forced to compete with each other on latency, because the leader who is fastest at disseminating users' transactions across the network will over time gobble up the largest share of the order flow. Transparent priority fees are a must, or a private mempool will emerge But in order to make this work, a multi-leader architecture must also offer users the ability to pay priority fees AKA "tips" or "bribes" to move their transaction to the front of the line: if there is a $5 arbitrage opportunity onchain, users need to have assurance that they if they pay a 4.99 priority fee to take that arb, they will get priority over a different user who is only willing to tip 4.98. If the native blockchain system does not offer this fair market priority fee mechanism, then it is only a matter of time before one spontaneously emerges in the form of a private mempool like , which can create centralization pressures and undermine the integrity of the system as a whole. Competitive payment for order flow is the stable solution With the right architecture in place, the end result is a competitive environment where endpoints running maximum extractable value (MEV) bots compete with one to offer users the best price for their order flow. In other words, if a user wants to submit an order that can get sandwich attacked for as much as $2 of MEV, then the order should ultimately go to the endpoint bot that is willing to pay the user as much as $1.99 for the right to process their transaction. The price that the provider is willing to pay is ultimately a function of how much in priority fees they might need to pay to the current leader (0 they are the current one), but notably at each stage there is a competitive market for order flow, whether in the form of retail trader's orders, or priority fees among bots that might be forwarding orders to one of the leaders. AptosLabs is already building all this With a public mempool and transaction priority fees, Aptos additionally includes a pipelined architecture that already includes concurrent batching of transactions into blocks, with a single consensus leader who propagates the batched blocks out to the network. And the team is already researching running multiple instances of the consensus algorithm in parallel, yielding multiple consensus leaders who can compete with each other on latency and inclusion - just ask pranav | Shelby, Alexander Spiegelman, and Zekun Li. This means that block times can shrink as the number of consensus leaders grows, with each leader having its own geographical radius of inclusion beyond which it makes more sense to submit to a different leader. The starting point? Something like 60 ms blocks and 3 consensus leaders, partitioning the global information space into competitive and constantly-rotating regions of information inclusion. Messaging is important With concurrent pipelined transaction batching, a public mempool, priority fees, and a clear path to a multi-leader architecture, Aptos leads the industry in onchain trading infrastructure that can truly supplant the centralized colocation paradigm that has heretofore dominated global finance - by offering a truly superior product. And I am hopeful that this deep dive is the first step in communicating not how or that superior product is getting built, but what it means from a bigger picture perspective. If blockchains have found product market fit in anything, it is in trading, and the trading game can only be won by building the biggest, baddest, most high performance system that has as its north star a single, concrete goal: constantly reducing, ever lower toward zero, time time it takes to incorporate information from anywhere in the world into the global price discovery computer. Whoever does this, even 1 ms faster than the competitor, wins the price discovery game, as other blockchains are left in the dust, their DEXes arbed away to zero against the fastest chain on the block. And sure, the blockchain that can rise to this challenge can also handle useful things like payments, NFTs, or other solutions that benefit from permissionlessness and low gas costs, but I want to impress that at the core of this pursuit must be the urge to drive down information inclusion latency to the absolute minimum afforded by the laws of physics through a competitive, market-driven environment. I call on avery.apt 🇺🇸 , CTO of Aptos Labs, to lean in on this messaging, to make it clear that Aptos is here for this singular mission, to build the most performant price discovery engine in history, as a rallying call for alignment in development efforts across the ecosystem and broader industry. Where does this go? As the latencies drop, the spreads tighten, and the information inclusion increases with every incremental increase in network bandwidth, we can expect a new class of competing techno-financial hubs that aggregate around the world's largest information sources: New York, Washington DC, London, Tokyo, etc., commanding stake distribution commensurate with the density of information flow in these respective locales. With the right incentives in place, competing concurrent leaders will invest ever more in infrastructure to get their packets out to the network faster than the rest, yielding clusters of fiber optic cable around the world's financial hubs, neurons in the global financial brain connecting not just HFT firms to servers in their city, but connecting every city with every other city, to move pricing information across oceans and continents. And retail traders, who have been left out of the colocation game, will only benefit: this entire system gets faster, more inclusive, with tighter spreads and lower fees, and it is such an amazing opportunity to watch all of this unfold in real time. The future of blockchains is the future of trading, is the future of competitive information inclusion in real-time, is the future of truly unified global markets, because at the the core of this industry is a simple idea: connect the computers, and see where the incentives lead. They lead to this, and Aptos is leading the charge, because its tech is purpose-built for this exact purpose. So tell the world about it.

Alex Kahn

24,548 görüntüleme • 1 yıl önce

The Great Equalizer: How I Iterated Through 90+ Strategies to Automate My Financial Freedom ninety strategies sounds like a death wish but it is actually the only way to find your edge in a market designed to liquidate you. most traders are out here gambling with their rent money while the big players are using automated systems to harvest their liquidations. i know this because i spent hundreds of thousands of dollars on developers for apps thinking i could never code myself. i was getting wrecked by over trading and watching my accounts hit zero while i slept. code became the great equalizer for me because it removed the emotion that was killing my bankroll. i decided to learn to code live so i could iterate to success and now i have fully automated systems trading for me instead of getting liquidated by every wick. i just saw someone lose ten million dollars in a single month because they were trading by hand and got addicted to the screen. you have to understand that if you are not automating you are the exit liquidity for someone who is. the reality of advanced futures trading is not about finding one holy grail bot that prints money forever. it is about research and back testing until you find a strategy that has a statistical advantage. one of the most slept on concepts is variable risk scaling where you actually change your position size based on how volatile the market is. instead of just betting the same amount every time you increase your size when volatility is low and scale back when the market starts moving like crazy. this keeps you in the game during the draw downs that usually wipe people out. most people do the opposite and revenge trade with bigger size when they are losing which is the fastest way to the cemetery. i used to think i needed to be the smartest guy in the room to make this work but i realized i just needed to be the most disciplined with my risk parameters. there is a secret hidden in funding rates and basis trading that most retail traders never even look at. while everyone else is trying to guess if bitcoin is going to the moon or the floor you can actually make consistent money through funding rate arbitrage. you basically buy the asset in the spot market and simultaneously sell it in the futures market when the funding rate is high. you just sit there and collect the interest payments from the gamblers who are over leveraged on the other side. it is basically free money if you can manage the fees and keep your execution precise. i used to ignore these low yield plays because i wanted the big home runs but those home runs usually came with massive strikeouts. now i look for these carry trades as a way to keep the equity curve moving up and to the right while others are sweating over every price change. most traders fail because they use lagging indicators and expect them to predict the future with one hundred percent accuracy. the truth is that even the best trend following strategies like the golden cross or moving average crossovers only have about sixty five percent accuracy. you have to combine these with filters like the average directional index or relative strength index to make sure you are not just buying a fake breakout. a lot of people get chopped up in sideways markets because they do not have a trend strength filter to tell them to stay out of the trade. i learned to use multiple time frames to confirm my breakouts because if the one hour and the four hour charts are not saying the same thing then the trade is probably a trap. you have to be a searcher looking for those golden nuggets of alpha buried in mountains of data. i used to think that machine learning and genetic algorithms were just buzzwords that did not actually work for trading. then i realized that the 1990s tech trap is real and if you are still using basic indicators without any optimization you are decades behind. genetic algorithms are wild because they simulate natural selection to find the best parameters for your strategy through trial and error. you can actually build an environment where your bot learns from its own mistakes and optimizes its decision making process over time. i spent so much time thinking i was not smart enough to do this but once i started iterating live i found that the machines are much better at following rules than i ever was. code is the only way to compete with the high frequency firms that are looking for any tiny mispricing in the order book. slippage and bad execution will eat your profits faster than a bad trade ever could if you are not careful. most people just hit the market buy button and pay the spread and the fees without a second thought. you should be using smart order routing and limit orders to capture the bid ask spread instead of paying it to the market makers. i started using time weighted average price execution to spread my larger orders out over time so i did not move the market against myself. it is these tiny details in execution that separate the professional quants from the people who are just playing around. i had to learn this the hard way after losing a fortune on bad entries and exits that could have been avoided with a few lines of code. the ultimate goal of all of this is to build a compounding machine that grows your capital while you are living your life. you have to automate the reinvestment of your profits so that your position sizes grow as your account grows without you having to manually adjust anything. i like to use automated compounding algorithms that take a portion of my wins and put them back into the systems that are performing the best. this creates a snowball effect where your returns start to accelerate as the base capital increases. it took me years to realize that i did not need to be at the desk for eighteen hours a day to make life changing money. i just needed to build a system that was smarter and more disciplined than my own human brain. cross asset skew and volatility surface arbitrage are where the real quants play when the market gets efficient. you can look for mispricings between highly correlated assets like bitcoin and ethereum and trade the spread between them. when one asset gets overvalued relative to the other you short the leader and long the laggard until they revert back to the mean. this is a much safer way to trade because you are not betting on the direction of the market but rather the relationship between two assets. i spent a lot of money trying to guess the next big move before i realized that trading the relationship between assets was much more consistent. iteration is the only way to find these winks in the market that the average trader is completely blind to. it is a cold world in finance and most people are out here trying to step on your neck to get ahead. i believe that sharing this knowledge is important because code is the only thing that can give a regular person a fighting chance against the institutions. i started from zero and learned everything through failing and losing money until i finally figured out how to automate. now i spend my time building and testing instead of worrying about the next liquidation candle. you have to decide today if you want to keep being the exit liquidity or if you want to start building your own systems. the tools are all there and the data is accessible if you are willing to put in the work and stop negotiating with yourself. successful trading is not about being lucky it is about being prepared and having a system that can handle any market regime. whether the market is in a bull run or a total crash your bots should know exactly what to do based on the rules you have coded into them. i use risk weighted allocation to make sure that my capital is always moving toward the strategies with the highest sharp ratio and the lowest volatility. this keeps the portfolio stable even when the crypto market is going through its typical insane swings. i finally found peace in this game because i know that my automated systems are following the math while everyone else is following their feelings. code is the great equalizer and it is time for you to start using it to protect your future and build your empire there are over ninety strategies you can test and most of them will not work for your specific style but you only need one or two to change your life. i have built a fat list of ideas from research and i spend every day back testing and refining them to stay ahead of the curve. do not let the fear of coding stop you from taking control of your financial destiny because i am living proof that anyone can learn. i would rather spend my time iterating to success than getting liquidated by some random news event that i could not predict. the journey from losing hundreds of thousands to fully automated success was long but it was the best investment i ever made. keep your heart open and lead with love in this game and i promise the universe will start passing you those golden nuggets of alpha you have been searching for
2:40:29

The Great Equalizer: How I Iterated Through 90+ Strategies to Automate My Financial Freedom ninety strategies sounds like a death wish but it is actually the only way to find your edge in a market designed to liquidate you. most traders are out here gambling with their rent money while the big players are using automated systems to harvest their liquidations. i know this because i spent hundreds of thousands of dollars on developers for apps thinking i could never code myself. i was getting wrecked by over trading and watching my accounts hit zero while i slept. code became the great equalizer for me because it removed the emotion that was killing my bankroll. i decided to learn to code live so i could iterate to success and now i have fully automated systems trading for me instead of getting liquidated by every wick. i just saw someone lose ten million dollars in a single month because they were trading by hand and got addicted to the screen. you have to understand that if you are not automating you are the exit liquidity for someone who is. the reality of advanced futures trading is not about finding one holy grail bot that prints money forever. it is about research and back testing until you find a strategy that has a statistical advantage. one of the most slept on concepts is variable risk scaling where you actually change your position size based on how volatile the market is. instead of just betting the same amount every time you increase your size when volatility is low and scale back when the market starts moving like crazy. this keeps you in the game during the draw downs that usually wipe people out. most people do the opposite and revenge trade with bigger size when they are losing which is the fastest way to the cemetery. i used to think i needed to be the smartest guy in the room to make this work but i realized i just needed to be the most disciplined with my risk parameters. there is a secret hidden in funding rates and basis trading that most retail traders never even look at. while everyone else is trying to guess if bitcoin is going to the moon or the floor you can actually make consistent money through funding rate arbitrage. you basically buy the asset in the spot market and simultaneously sell it in the futures market when the funding rate is high. you just sit there and collect the interest payments from the gamblers who are over leveraged on the other side. it is basically free money if you can manage the fees and keep your execution precise. i used to ignore these low yield plays because i wanted the big home runs but those home runs usually came with massive strikeouts. now i look for these carry trades as a way to keep the equity curve moving up and to the right while others are sweating over every price change. most traders fail because they use lagging indicators and expect them to predict the future with one hundred percent accuracy. the truth is that even the best trend following strategies like the golden cross or moving average crossovers only have about sixty five percent accuracy. you have to combine these with filters like the average directional index or relative strength index to make sure you are not just buying a fake breakout. a lot of people get chopped up in sideways markets because they do not have a trend strength filter to tell them to stay out of the trade. i learned to use multiple time frames to confirm my breakouts because if the one hour and the four hour charts are not saying the same thing then the trade is probably a trap. you have to be a searcher looking for those golden nuggets of alpha buried in mountains of data. i used to think that machine learning and genetic algorithms were just buzzwords that did not actually work for trading. then i realized that the 1990s tech trap is real and if you are still using basic indicators without any optimization you are decades behind. genetic algorithms are wild because they simulate natural selection to find the best parameters for your strategy through trial and error. you can actually build an environment where your bot learns from its own mistakes and optimizes its decision making process over time. i spent so much time thinking i was not smart enough to do this but once i started iterating live i found that the machines are much better at following rules than i ever was. code is the only way to compete with the high frequency firms that are looking for any tiny mispricing in the order book. slippage and bad execution will eat your profits faster than a bad trade ever could if you are not careful. most people just hit the market buy button and pay the spread and the fees without a second thought. you should be using smart order routing and limit orders to capture the bid ask spread instead of paying it to the market makers. i started using time weighted average price execution to spread my larger orders out over time so i did not move the market against myself. it is these tiny details in execution that separate the professional quants from the people who are just playing around. i had to learn this the hard way after losing a fortune on bad entries and exits that could have been avoided with a few lines of code. the ultimate goal of all of this is to build a compounding machine that grows your capital while you are living your life. you have to automate the reinvestment of your profits so that your position sizes grow as your account grows without you having to manually adjust anything. i like to use automated compounding algorithms that take a portion of my wins and put them back into the systems that are performing the best. this creates a snowball effect where your returns start to accelerate as the base capital increases. it took me years to realize that i did not need to be at the desk for eighteen hours a day to make life changing money. i just needed to build a system that was smarter and more disciplined than my own human brain. cross asset skew and volatility surface arbitrage are where the real quants play when the market gets efficient. you can look for mispricings between highly correlated assets like bitcoin and ethereum and trade the spread between them. when one asset gets overvalued relative to the other you short the leader and long the laggard until they revert back to the mean. this is a much safer way to trade because you are not betting on the direction of the market but rather the relationship between two assets. i spent a lot of money trying to guess the next big move before i realized that trading the relationship between assets was much more consistent. iteration is the only way to find these winks in the market that the average trader is completely blind to. it is a cold world in finance and most people are out here trying to step on your neck to get ahead. i believe that sharing this knowledge is important because code is the only thing that can give a regular person a fighting chance against the institutions. i started from zero and learned everything through failing and losing money until i finally figured out how to automate. now i spend my time building and testing instead of worrying about the next liquidation candle. you have to decide today if you want to keep being the exit liquidity or if you want to start building your own systems. the tools are all there and the data is accessible if you are willing to put in the work and stop negotiating with yourself. successful trading is not about being lucky it is about being prepared and having a system that can handle any market regime. whether the market is in a bull run or a total crash your bots should know exactly what to do based on the rules you have coded into them. i use risk weighted allocation to make sure that my capital is always moving toward the strategies with the highest sharp ratio and the lowest volatility. this keeps the portfolio stable even when the crypto market is going through its typical insane swings. i finally found peace in this game because i know that my automated systems are following the math while everyone else is following their feelings. code is the great equalizer and it is time for you to start using it to protect your future and build your empire there are over ninety strategies you can test and most of them will not work for your specific style but you only need one or two to change your life. i have built a fat list of ideas from research and i spend every day back testing and refining them to stay ahead of the curve. do not let the fear of coding stop you from taking control of your financial destiny because i am living proof that anyone can learn. i would rather spend my time iterating to success than getting liquidated by some random news event that i could not predict. the journey from losing hundreds of thousands to fully automated success was long but it was the best investment i ever made. keep your heart open and lead with love in this game and i promise the universe will start passing you those golden nuggets of alpha you have been searching for

Moon Dev

11,196 görüntüleme • 7 ay önce

What if I told you ripple:native just moved closer to a financial universe doing $17.5 TRILLION in FX and interest-rate derivatives every single day? I’m not talking about some random prediction. I’m talking about BIS Working Paper No. 1374. This is going to be a long read, because the headline barely scratches the surface. Four of the five authors work at the Bank for International Settlements, and instead of only mentioning XRP Ledger in theory, the researchers actually built, tested and published an open-source XRPL-based prototype. That distinction matters. This is a research implementation, not a production BIS deployment. But the technical choice itself is what caught me. The researchers needed a public blockchain that could help prove official economic and financial data had not been altered. They chose XRP Ledger. And they explained why: low fees, fast finality, developer resources and existing research around its consensus system. This wasn’t somebody adding an XRP logo to a presentation. They built the gateway. They created XRPL transactions. They used institutional anchoring wallets. They put cryptographic proofs inside transaction memos. They linked publisher identities to XRPL addresses. They retrieved those transactions again during verification. Then they measured how the system performed. Median publication latency came in around 3–5 seconds. Verification took around 1–2 seconds. That is where my brain immediately went beyond the headline. Because what exactly were they trying to verify? The kind of information the entire financial system runs on. -Inflation. -GDP. -Interest rates. -Banking statistics. -Debt information. -Financial-stability data. -Regulatory reporting. Imagine a central bank publishes an inflation number. Today that number gets copied everywhere. -Websites. -News terminals. -Databases. -Screenshots. -AI models. -Trading systems. Once it spreads across the internet, how does another machine independently prove that the number it received is exactly what the institution originally published? That is the problem BIS researchers were attacking. Their model creates a cryptographic fingerprint of the official dataset. Individual statistical series can receive fingerprints too. Those hashes are combined through a Merkle tree. A final Merkle root gets anchored to XRPL. The underlying economic data do not need to be dumped onto the blockchain. XRPL simply keeps the proof. Think of it like this: The official institution publishes the document. XRPL holds the tamper-proof receipt. Someone changes even one part of the underlying file? The cryptographic fingerprint changes. Now a bank, regulator, investor, trading engine or AI agent can check: Is this the original data? Has it been changed? Did it really come from the institution claiming to publish it? And that second part is where this paper gets even more serious. The BIS prototype combines the data proof with a W3C Verifiable Credential for the publisher. The publisher’s cryptographic identity is connected to an XRPL address. The paper even uses the format: did:xrpl: So you are not only verifying the information. You are verifying who published it. Now picture a financial world where machines can check both automatically. A central bank publishes CPI. A model receives it. Before touching money, the software checks XRPL. Correct file. Correct publisher. No alteration. Then it acts. That sounds simple until you realize what financial markets actually do with official data. -Rates move. -Currencies move. -Bond prices move. -Derivatives reprice. -Collateral requirements change. -Loans reset. -Inflation-linked instruments adjust. -Portfolio risk changes. And this is where BIS Working Paper 1374 stops being a boring statistics paper for me. Because the authors themselves discuss putting verified information beside digital financial assets. They specifically mention: -CBDCs -stablecoins -tokenized deposits -derivatives. That one section changes the entire way I look at this. The vision is not simply: “Put a hash on a blockchain.” It becomes: verified economic information + digital money + tokenized assets + automated execution. Now remember what Ripple has been building around XRPL. -Multi-Purpose Tokens. -Credentials. -Permissioned Domains. -Permissioned DEX infrastructure. -Confidential Transfers. -Stablecoins. -Institutional lending. -Tokenized collateral. -FX. -Onchain credit. And Ripple has repeatedly positioned XRP across payments, liquidity and credit. Now put those pieces beside what the BIS researchers are exploring. An official institution needs an identity. XRPL can represent identity and credentials. A regulated participant needs permission to enter a market. XRPL is building permissioned infrastructure. A bond needs trustworthy economic information. The BIS prototype shows one way that information can be authenticated through XRPL. A financial asset needs a digital representation. XRPL is being built for tokenization. A transaction needs money. Stablecoins and tokenized deposits can provide the cash side. Then all those different assets need liquidity. That is where ripple:native becomes much more interesting to me. But before getting there, look at the scale surrounding BIS itself. The BIS does not process the world’s $9.6 trillion of daily FX transactions. It measures that market through its Triennial Central Bank Survey. That distinction matters. According to the numbers in the context here: global OTC FX turnover = $9.6 TRILLION every day. Then add: OTC interest-rate derivatives turnover = $7.9 TRILLION every day. Together: $17.5 TRILLION per day. Just the FX number annualized across roughly 250 trading days comes to around: $2.4 QUADRILLION per year. That is the financial universe BIS research sits over. -Currencies. -Banks. -Central banks. -FX swaps. -Rates. -Derivatives. -Cross-border capital. -Collateral. -Dollar funding. And researchers inside that institution just chose XRP Ledger for an actual technical prototype. That is why I keep telling people not to reduce this to transaction fees. Yes, the worked example uses an XRPL Payment transaction. Yes, the reference cost is only: 10 drops = 0.00001 XRP. Yes, transaction fees on XRPL are destroyed. So if this kind of anchoring eventually ran on mainnet, publishing data itself would consume XRP. But that is not the part that gets me excited. The fee is intentionally tiny. The much bigger question is: What happens when verified information starts triggering financial activity on the same broader infrastructure? The paper itself talks about: inflation-linked products perpetual futures tokenized financial instruments derivative settlement interest payments automated compliance and even: automated monetary-policy applications. Now we are talking about information causing money to move. Imagine an inflation-linked bond. The government publishes inflation. That release gets cryptographically anchored. The bond checks the proof. The CPI number is verified. The contract adjusts what is owed. Digital cash settles the payment. No one has to manually copy a number from a website into another system. No one has to blindly trust a third-party data feed. The financial instrument can verify the economic input itself. That is the idea I keep coming back to: self-verifying finance. And the researchers even discuss using the XRPL EVM-compatible sidechain for more advanced applications where data verification and programmable financial execution exist in the same broader ecosystem. They mention: access controls, permissioning, automated compliance, multisignature requirements, oracle integration, programmable validation. Now connect that with Ripple’s institutional roadmap. Credentials can prove who a participant is. Permissioned Domains can define who belongs inside a regulated environment. Tokenized assets can represent financial instruments. RLUSD can represent digital dollar liquidity. Lending can make those assets productive. XRP can provide native network resources and, where economically useful, liquidity between fragmented assets. That is a very different picture of XRPL than the one people were arguing about years ago. It is not simply: “Can XRP send a payment quickly?” The question becomes: Can XRPL sit underneath parts of a machine-readable financial system? And Working Paper 1374 just gave that question much more weight for me. There is another section that barely gets discussed. The architecture is not limited to one data publisher. The researchers designed a multi-publisher system. Different institutions can create their own Merkle roots. Those roots can be combined into one larger super-root. One XRPL transaction can anchor that shared proof. Yet each publisher remains independently accountable for its own data. Now imagine the participants. Central Bank A. Central Bank B. Regulator C. Statistical Office D. International Organization E. One public verification system. Different publishers. Independent cryptographic accountability. That begins to resemble infrastructure for cross-border public-sector data exchange. And the paper’s own conclusion talks about trustworthy exchange among: national statistical offices central banks international organizations. Then look at who already uses the statistical standard the paper builds around. SDMX is sponsored by institutions including: BIS European Central Bank Eurostat International Monetary Fund OECD United Nations World Bank Group International Labour Organization. That does not mean those institutions are adopting XRPL. But it tells you something important about the design philosophy. The researchers did not create a blockchain system that requires the existing financial world to throw everything away. They designed it to sit underneath an existing institutional standard. That matters a lot. Because the easiest technology to adopt is often the technology that does not force everyone to rebuild from zero. Existing systems can continue publishing. XRPL can provide the cryptographic proof underneath. Then comes BIS Open Tech. The paper says the open-source reference implementation is being released as a prototype through BIS Open Tech and the SDMX community. That means other institutions can inspect it. Reuse it. Modify it. Build on it. This is how technical ideas can spread inside serious institutions. Not through hype. Through code. Documentation. Standards. Reuse. That is the kind of adoption path I pay attention to. Then there is the AI angle. This is where the whole thesis becomes almost unfairly interesting. The authors explicitly discuss AI agents. An AI system receives economic information. Instead of blindly trusting what it scraped from somewhere, it can ask: Is this data authentic? It checks the XRPL proof. Valid? Continue. Invalid? Do nothing. Now compare that with what Ripple launched in June 2026: the XRPL AI Starter Kit, designed around autonomous agents making payments with XRP and RLUSD. Two completely separate directions suddenly sit beside each other. BIS research: AI verifies information through XRPL. Ripple ecosystem: AI moves value through XRPL. Now imagine both ideas eventually meeting. An agent receives official inflation data. It verifies the release cryptographically. It recalculates risk. It reprices a bond. It adjusts collateral. It changes an FX position. It executes a payment. It settles in RLUSD. It routes through XRP where XRP is the best available liquidity path. That is machine-native finance. And now go back to the scale. The BIS 2025 Triennial Survey says: $9.6T/day FX. The dollar appears on one side of 89% of FX trades. The euro is involved in 28.9%. The Japanese yen in 16.8%. FX swaps alone are around $4T every day. Then another $7.9T/day exists in OTC interest-rate derivatives turnover. Think about what happens if only part of those markets becomes tokenized. Digital USD deposits. Digital EUR deposits. Tokenized JPY. RLUSD. CBDCs. Tokenized Treasuries. Interest-rate derivatives. FX derivatives. Collateral. Money-market instruments. The first problem is getting the assets onchain. The second is verifying the information those assets depend on. The third is moving liquidity between all the different forms of value. This BIS paper attacks the second problem using XRPL. Ripple has spent years attacking the first and third. That is why the combination gets my attention. And you do not need XRPL to capture the whole market for the numbers to become enormous. For scale only: 0.1% of $9.6T daily FX turnover = $9.6B per day. 1% = $96B per day. Again, that is not a forecast. It shows what even tiny percentages mean when the underlying market is measured in trillions every day. And that is only FX. It does not include the additional $7.9T/day of interest-rate derivatives turnover BIS measures. This is where the XRP liquidity thesis changes from a crypto argument into a market-structure argument. Suppose the future has hundreds of tokenized currencies and financial products. Every possible pair cannot maintain perfect direct liquidity. USD token / EUR token. EUR token / JPY token. JPY token / RLUSD. RLUSD / Treasury token. Treasury token / derivative. Derivative / deposit token. The combinations explode. A common intermediate asset becomes useful whenever routing through it provides a better market. That is where XRP’s role becomes interesting. Not replacing the dollar. Not replacing the euro. Not replacing CBDCs. Not replacing bank deposits. Connecting liquidity between them when that route makes economic sense. Now imagine the system is automated. No trader needs to shout: “Use XRP.” Software looks at: price, spread, depth, settlement, availability. If the XRP path wins, the software uses XRP. That is the outcome I care about. Machine-selected liquidity. And if those transactions grow large enough, the XRP market itself has to change. Institutional market makers need inventory. Liquidity providers need inventory. Prime brokers need financing capacity. Order books need deeper capital. Large transactions need to clear without huge price impact. That is where the price thesis becomes different from retail speculation. If XRP ever helps support institutional flows inside markets measured in trillions per day, the relevant question is not: “How many retail holders bought today?” It becomes: How much dollar liquidity does the XRP market need to represent? That is an entirely different valuation conversation. There is one more thing I think people are missing. BIS Working Paper 1374 does not only talk about SDMX statistics. The researchers say the same architecture can extend to: XBRL regulatory filings FINREP COREP and other forms of structured official information. Now imagine banks submitting regulatory reports that receive immutable XRPL proofs. The bank cannot quietly change an old filing later. The regulator can verify the exact version. Auditors can verify it. Another authority can verify it. AI software can consume it. One system can prove both: who submitted the data and whether it changed. That gives XRPL a potential role far beyond payments. It starts touching the information layer of finance. And this is why the line “BIS used XRP Ledger” actually undersells the paper. What happened is more specific. Researchers inside BIS took a real institutional problem. They selected XRPL. They built a working implementation. They measured performance. They published the code direction. Then they explored how authenticated data could coexist with: CBDCs, stablecoins, tokenized deposits, derivatives, AI agents, automated financial instruments. That is what I am bullish on. Not a logo. Not a rumor. Not a screenshot. Technical work. And when I look at the direction Ripple is independently pushing XRPL, the overlap is hard for me to ignore. Trusted identities. Verified information. Regulated participants. Tokenized assets. Digital money. Automated execution. Credit. Collateral. FX. Liquidity. AI. Put together, the long-term architecture can look like this: Official institutions publish information. XRPL anchors the proof. Banks and regulators verify it. AI consumes it. Tokenized instruments use it. Stablecoins and tokenized deposits provide cash. Institutional markets execute trades. XRP supplies native network resources and can supply cross-asset liquidity where the route makes sense. That is not simply a faster payment network. That starts looking like part of a digital financial operating system. And then remember where this conversation is happening. Inside the research world of the institution that measures: $9.6 trillion of FX turnover every day plus $7.9 trillion of interest-rate derivatives turnover every day. A combined: $17.5 TRILLION DAILY. No, that is not XRPL volume. No, BIS does not process those trades. The significance is that BIS researchers just tested XRP Ledger while working inside the institutional world surrounding markets of that size. That is the fact. And now I’m asking the question that matters to me as an ripple:native holder: What happens if XRPL earns even a small role inside the tokenized version of that financial system? Because 0.1% of a trillion-dollar market is not small. And this market is not one trillion. It is trillions every single day. That is why Working Paper 1374 changed the scale of the conversation for me. For years, people asked whether XRP could become part of the future financial system. Now researchers inside the BIS have taken XRP Ledger, built institutional infrastructure on it, and explicitly discussed a future combining trusted information with digital money and programmable financial assets. We are still at the prototype stage. But for me, the direction is the real story. The next financial system will need trusted data, tokenized assets, automated execution and deep liquidity. XRPL is now showing up in all four conversations. And XRP sits natively underneath the network where those pieces can eventually meet. $17.5T a day. Now look at your ripple:native bag again. Enough?
0:26

What if I told you ripple:native just moved closer to a financial universe doing $17.5 TRILLION in FX and interest-rate derivatives every single day? I’m not talking about some random prediction. I’m talking about BIS Working Paper No. 1374. This is going to be a long read, because the headline barely scratches the surface. Four of the five authors work at the Bank for International Settlements, and instead of only mentioning XRP Ledger in theory, the researchers actually built, tested and published an open-source XRPL-based prototype. That distinction matters. This is a research implementation, not a production BIS deployment. But the technical choice itself is what caught me. The researchers needed a public blockchain that could help prove official economic and financial data had not been altered. They chose XRP Ledger. And they explained why: low fees, fast finality, developer resources and existing research around its consensus system. This wasn’t somebody adding an XRP logo to a presentation. They built the gateway. They created XRPL transactions. They used institutional anchoring wallets. They put cryptographic proofs inside transaction memos. They linked publisher identities to XRPL addresses. They retrieved those transactions again during verification. Then they measured how the system performed. Median publication latency came in around 3–5 seconds. Verification took around 1–2 seconds. That is where my brain immediately went beyond the headline. Because what exactly were they trying to verify? The kind of information the entire financial system runs on. -Inflation. -GDP. -Interest rates. -Banking statistics. -Debt information. -Financial-stability data. -Regulatory reporting. Imagine a central bank publishes an inflation number. Today that number gets copied everywhere. -Websites. -News terminals. -Databases. -Screenshots. -AI models. -Trading systems. Once it spreads across the internet, how does another machine independently prove that the number it received is exactly what the institution originally published? That is the problem BIS researchers were attacking. Their model creates a cryptographic fingerprint of the official dataset. Individual statistical series can receive fingerprints too. Those hashes are combined through a Merkle tree. A final Merkle root gets anchored to XRPL. The underlying economic data do not need to be dumped onto the blockchain. XRPL simply keeps the proof. Think of it like this: The official institution publishes the document. XRPL holds the tamper-proof receipt. Someone changes even one part of the underlying file? The cryptographic fingerprint changes. Now a bank, regulator, investor, trading engine or AI agent can check: Is this the original data? Has it been changed? Did it really come from the institution claiming to publish it? And that second part is where this paper gets even more serious. The BIS prototype combines the data proof with a W3C Verifiable Credential for the publisher. The publisher’s cryptographic identity is connected to an XRPL address. The paper even uses the format: did:xrpl: So you are not only verifying the information. You are verifying who published it. Now picture a financial world where machines can check both automatically. A central bank publishes CPI. A model receives it. Before touching money, the software checks XRPL. Correct file. Correct publisher. No alteration. Then it acts. That sounds simple until you realize what financial markets actually do with official data. -Rates move. -Currencies move. -Bond prices move. -Derivatives reprice. -Collateral requirements change. -Loans reset. -Inflation-linked instruments adjust. -Portfolio risk changes. And this is where BIS Working Paper 1374 stops being a boring statistics paper for me. Because the authors themselves discuss putting verified information beside digital financial assets. They specifically mention: -CBDCs -stablecoins -tokenized deposits -derivatives. That one section changes the entire way I look at this. The vision is not simply: “Put a hash on a blockchain.” It becomes: verified economic information + digital money + tokenized assets + automated execution. Now remember what Ripple has been building around XRPL. -Multi-Purpose Tokens. -Credentials. -Permissioned Domains. -Permissioned DEX infrastructure. -Confidential Transfers. -Stablecoins. -Institutional lending. -Tokenized collateral. -FX. -Onchain credit. And Ripple has repeatedly positioned XRP across payments, liquidity and credit. Now put those pieces beside what the BIS researchers are exploring. An official institution needs an identity. XRPL can represent identity and credentials. A regulated participant needs permission to enter a market. XRPL is building permissioned infrastructure. A bond needs trustworthy economic information. The BIS prototype shows one way that information can be authenticated through XRPL. A financial asset needs a digital representation. XRPL is being built for tokenization. A transaction needs money. Stablecoins and tokenized deposits can provide the cash side. Then all those different assets need liquidity. That is where ripple:native becomes much more interesting to me. But before getting there, look at the scale surrounding BIS itself. The BIS does not process the world’s $9.6 trillion of daily FX transactions. It measures that market through its Triennial Central Bank Survey. That distinction matters. According to the numbers in the context here: global OTC FX turnover = $9.6 TRILLION every day. Then add: OTC interest-rate derivatives turnover = $7.9 TRILLION every day. Together: $17.5 TRILLION per day. Just the FX number annualized across roughly 250 trading days comes to around: $2.4 QUADRILLION per year. That is the financial universe BIS research sits over. -Currencies. -Banks. -Central banks. -FX swaps. -Rates. -Derivatives. -Cross-border capital. -Collateral. -Dollar funding. And researchers inside that institution just chose XRP Ledger for an actual technical prototype. That is why I keep telling people not to reduce this to transaction fees. Yes, the worked example uses an XRPL Payment transaction. Yes, the reference cost is only: 10 drops = 0.00001 XRP. Yes, transaction fees on XRPL are destroyed. So if this kind of anchoring eventually ran on mainnet, publishing data itself would consume XRP. But that is not the part that gets me excited. The fee is intentionally tiny. The much bigger question is: What happens when verified information starts triggering financial activity on the same broader infrastructure? The paper itself talks about: inflation-linked products perpetual futures tokenized financial instruments derivative settlement interest payments automated compliance and even: automated monetary-policy applications. Now we are talking about information causing money to move. Imagine an inflation-linked bond. The government publishes inflation. That release gets cryptographically anchored. The bond checks the proof. The CPI number is verified. The contract adjusts what is owed. Digital cash settles the payment. No one has to manually copy a number from a website into another system. No one has to blindly trust a third-party data feed. The financial instrument can verify the economic input itself. That is the idea I keep coming back to: self-verifying finance. And the researchers even discuss using the XRPL EVM-compatible sidechain for more advanced applications where data verification and programmable financial execution exist in the same broader ecosystem. They mention: access controls, permissioning, automated compliance, multisignature requirements, oracle integration, programmable validation. Now connect that with Ripple’s institutional roadmap. Credentials can prove who a participant is. Permissioned Domains can define who belongs inside a regulated environment. Tokenized assets can represent financial instruments. RLUSD can represent digital dollar liquidity. Lending can make those assets productive. XRP can provide native network resources and, where economically useful, liquidity between fragmented assets. That is a very different picture of XRPL than the one people were arguing about years ago. It is not simply: “Can XRP send a payment quickly?” The question becomes: Can XRPL sit underneath parts of a machine-readable financial system? And Working Paper 1374 just gave that question much more weight for me. There is another section that barely gets discussed. The architecture is not limited to one data publisher. The researchers designed a multi-publisher system. Different institutions can create their own Merkle roots. Those roots can be combined into one larger super-root. One XRPL transaction can anchor that shared proof. Yet each publisher remains independently accountable for its own data. Now imagine the participants. Central Bank A. Central Bank B. Regulator C. Statistical Office D. International Organization E. One public verification system. Different publishers. Independent cryptographic accountability. That begins to resemble infrastructure for cross-border public-sector data exchange. And the paper’s own conclusion talks about trustworthy exchange among: national statistical offices central banks international organizations. Then look at who already uses the statistical standard the paper builds around. SDMX is sponsored by institutions including: BIS European Central Bank Eurostat International Monetary Fund OECD United Nations World Bank Group International Labour Organization. That does not mean those institutions are adopting XRPL. But it tells you something important about the design philosophy. The researchers did not create a blockchain system that requires the existing financial world to throw everything away. They designed it to sit underneath an existing institutional standard. That matters a lot. Because the easiest technology to adopt is often the technology that does not force everyone to rebuild from zero. Existing systems can continue publishing. XRPL can provide the cryptographic proof underneath. Then comes BIS Open Tech. The paper says the open-source reference implementation is being released as a prototype through BIS Open Tech and the SDMX community. That means other institutions can inspect it. Reuse it. Modify it. Build on it. This is how technical ideas can spread inside serious institutions. Not through hype. Through code. Documentation. Standards. Reuse. That is the kind of adoption path I pay attention to. Then there is the AI angle. This is where the whole thesis becomes almost unfairly interesting. The authors explicitly discuss AI agents. An AI system receives economic information. Instead of blindly trusting what it scraped from somewhere, it can ask: Is this data authentic? It checks the XRPL proof. Valid? Continue. Invalid? Do nothing. Now compare that with what Ripple launched in June 2026: the XRPL AI Starter Kit, designed around autonomous agents making payments with XRP and RLUSD. Two completely separate directions suddenly sit beside each other. BIS research: AI verifies information through XRPL. Ripple ecosystem: AI moves value through XRPL. Now imagine both ideas eventually meeting. An agent receives official inflation data. It verifies the release cryptographically. It recalculates risk. It reprices a bond. It adjusts collateral. It changes an FX position. It executes a payment. It settles in RLUSD. It routes through XRP where XRP is the best available liquidity path. That is machine-native finance. And now go back to the scale. The BIS 2025 Triennial Survey says: $9.6T/day FX. The dollar appears on one side of 89% of FX trades. The euro is involved in 28.9%. The Japanese yen in 16.8%. FX swaps alone are around $4T every day. Then another $7.9T/day exists in OTC interest-rate derivatives turnover. Think about what happens if only part of those markets becomes tokenized. Digital USD deposits. Digital EUR deposits. Tokenized JPY. RLUSD. CBDCs. Tokenized Treasuries. Interest-rate derivatives. FX derivatives. Collateral. Money-market instruments. The first problem is getting the assets onchain. The second is verifying the information those assets depend on. The third is moving liquidity between all the different forms of value. This BIS paper attacks the second problem using XRPL. Ripple has spent years attacking the first and third. That is why the combination gets my attention. And you do not need XRPL to capture the whole market for the numbers to become enormous. For scale only: 0.1% of $9.6T daily FX turnover = $9.6B per day. 1% = $96B per day. Again, that is not a forecast. It shows what even tiny percentages mean when the underlying market is measured in trillions every day. And that is only FX. It does not include the additional $7.9T/day of interest-rate derivatives turnover BIS measures. This is where the XRP liquidity thesis changes from a crypto argument into a market-structure argument. Suppose the future has hundreds of tokenized currencies and financial products. Every possible pair cannot maintain perfect direct liquidity. USD token / EUR token. EUR token / JPY token. JPY token / RLUSD. RLUSD / Treasury token. Treasury token / derivative. Derivative / deposit token. The combinations explode. A common intermediate asset becomes useful whenever routing through it provides a better market. That is where XRP’s role becomes interesting. Not replacing the dollar. Not replacing the euro. Not replacing CBDCs. Not replacing bank deposits. Connecting liquidity between them when that route makes economic sense. Now imagine the system is automated. No trader needs to shout: “Use XRP.” Software looks at: price, spread, depth, settlement, availability. If the XRP path wins, the software uses XRP. That is the outcome I care about. Machine-selected liquidity. And if those transactions grow large enough, the XRP market itself has to change. Institutional market makers need inventory. Liquidity providers need inventory. Prime brokers need financing capacity. Order books need deeper capital. Large transactions need to clear without huge price impact. That is where the price thesis becomes different from retail speculation. If XRP ever helps support institutional flows inside markets measured in trillions per day, the relevant question is not: “How many retail holders bought today?” It becomes: How much dollar liquidity does the XRP market need to represent? That is an entirely different valuation conversation. There is one more thing I think people are missing. BIS Working Paper 1374 does not only talk about SDMX statistics. The researchers say the same architecture can extend to: XBRL regulatory filings FINREP COREP and other forms of structured official information. Now imagine banks submitting regulatory reports that receive immutable XRPL proofs. The bank cannot quietly change an old filing later. The regulator can verify the exact version. Auditors can verify it. Another authority can verify it. AI software can consume it. One system can prove both: who submitted the data and whether it changed. That gives XRPL a potential role far beyond payments. It starts touching the information layer of finance. And this is why the line “BIS used XRP Ledger” actually undersells the paper. What happened is more specific. Researchers inside BIS took a real institutional problem. They selected XRPL. They built a working implementation. They measured performance. They published the code direction. Then they explored how authenticated data could coexist with: CBDCs, stablecoins, tokenized deposits, derivatives, AI agents, automated financial instruments. That is what I am bullish on. Not a logo. Not a rumor. Not a screenshot. Technical work. And when I look at the direction Ripple is independently pushing XRPL, the overlap is hard for me to ignore. Trusted identities. Verified information. Regulated participants. Tokenized assets. Digital money. Automated execution. Credit. Collateral. FX. Liquidity. AI. Put together, the long-term architecture can look like this: Official institutions publish information. XRPL anchors the proof. Banks and regulators verify it. AI consumes it. Tokenized instruments use it. Stablecoins and tokenized deposits provide cash. Institutional markets execute trades. XRP supplies native network resources and can supply cross-asset liquidity where the route makes sense. That is not simply a faster payment network. That starts looking like part of a digital financial operating system. And then remember where this conversation is happening. Inside the research world of the institution that measures: $9.6 trillion of FX turnover every day plus $7.9 trillion of interest-rate derivatives turnover every day. A combined: $17.5 TRILLION DAILY. No, that is not XRPL volume. No, BIS does not process those trades. The significance is that BIS researchers just tested XRP Ledger while working inside the institutional world surrounding markets of that size. That is the fact. And now I’m asking the question that matters to me as an ripple:native holder: What happens if XRPL earns even a small role inside the tokenized version of that financial system? Because 0.1% of a trillion-dollar market is not small. And this market is not one trillion. It is trillions every single day. That is why Working Paper 1374 changed the scale of the conversation for me. For years, people asked whether XRP could become part of the future financial system. Now researchers inside the BIS have taken XRP Ledger, built institutional infrastructure on it, and explicitly discussed a future combining trusted information with digital money and programmable financial assets. We are still at the prototype stage. But for me, the direction is the real story. The next financial system will need trusted data, tokenized assets, automated execution and deep liquidity. XRPL is now showing up in all four conversations. And XRP sits natively underneath the network where those pieces can eventually meet. $17.5T a day. Now look at your ripple:native bag again. Enough?

X Finance Bull

68,367 görüntüleme • 23 gün önce

OH BOY! 🚨 THE CFTC JUST SAID IT’S GO TIME FOR 24/7 ONCHAIN MARKETS. If you’re still sleeping on $XRP, $XLM and $HBAR, this long read may completely change how you see what’s being built. I’ve been going back through everything CFTC Chairman Michael Selig said this week, and the more I connect it with what is already happening on XRP Ledger, Stellar and Hedera, the more serious this gets. Selig is talking about a financial market that looks very different from the one most people grew up with. Markets that stay open around the clock. Assets that exist directly on public ledgers. Stablecoins moving alongside securities. Collateral moving almost instantly. Algorithms making decisions faster than humans. AI agents eventually trading, paying, borrowing and moving value automatically. His September 22 remarks were explicit: markets need to prepare for mass tokenization, blockchain and AI adoption at scale, onchain finance and 24/7 trading. He also described tokenization as infrastructure that could enable near-instant settlement and real-time collateral mobility across clearinghouses, intermediaries and end users. Then on CNBC the next day, he went even further and talked about markets transitioning toward “24-7 on-chain” systems driven by algorithms and agentic finance. That language is incredibly important to me because $XRP, $XLM and $HBAR are already built around parts of that exact world. And there is another detail people need to remember. Back on March 17, the SEC issued its crypto interpretation with CFTC participation. The interpretation explicitly lists XRP, Stellar (XLM) and Hedera (HBAR) as examples of digital commodities. Read those two developments together. March: XRP, XLM and HBAR enter the agencies’ digital-commodity framework. September: the CFTC Chairman starts publicly preparing the market for mass tokenization, continuous onchain finance, AI and automated markets. That connection deserves way more attention. And the regulatory work kept moving even after the CLARITY Act failed to advance on September 15 by a 49–50 cloture vote. Two days later, the CFTC had a crypto-market regulatory action sitting with OIRA, titled “Regulation Crypto Asset Transactions and Regulation Crypto Asset Markets,” RIN 3038-AF80. The same day, the SEC launched its five-year Innovation Exemption allowing qualifying Tokenized Securities Venues to use permissioned AMM liquidity pools on public, permissionless distributed ledgers for tokenized NMS stocks. Then September 21, the CFTC announced its Frontier Forum Series, beginning October 28 with a forum specifically about artificial intelligence and agentic finance. That is a lot happening in one week. And when I compare it with these three networks, I see something very specific. Start with $XRP. XRPL already operates 24/7. It already has a native DEX. It already has order books. It already has AMMs. It already has compliance-focused infrastructure. And it already has institutional tokenization happening on the ledger. Guggenheim Treasury Services’ Digital Commercial Paper came to XRPL after the platform had already processed more than $280M in issuance. Ondo OUSG gives qualified investors tokenized Treasury exposure with RLUSD available for settlement around the clock. Aviva Investors announced its intention to work with Ripple around bringing traditional fund structures onto XRPL. Then Ripple invested in ZILO and Licuido around transfer agency, issuance and collateral infrastructure. Pause there. Selig specifically talks about real-time collateral mobility. XRPL is moving toward an environment where assets can be issued, traded, settled, collateralized and eventually lent against on the same digital infrastructure. And the stablecoin side is becoming serious. The context puts RLUSD at roughly $2.3956B circulating, backed by about $2.5177B in reserves. So now XRPL can have tokenized Treasuries, commercial paper, stablecoin liquidity, a native DEX and institutional trading infrastructure living together. That starts looking less like one payments product and more like a financial market. Then agentic finance enters. Ripple’s XRPL AI Starter Kit supports x402 payments using XRP or RLUSD. An AI agent can potentially request an API, pay for compute, purchase data or access a digital service automatically. No human needs to open a banking app every time. The agent can pay. The service can respond. The settlement happens on XRPL. And XRP has native economic roles throughout the ledger. Transaction fees consume XRP. Accounts require XRP reserves. XRP can also participate in cross-asset routing and auto-bridging. So if Selig’s 24/7, tokenized and automated market actually grows, XRPL already has technology aimed directly at that environment. Now move to $XLM. Stellar may be one of the easiest networks to understand through Selig’s framework because it already has both assets and money moving onchain. By Q2 2026, tokenized RWAs on Stellar had crossed $3B. Stablecoin transfer volume reached $11.4B during Q2. And the network had more than 10.7M active accounts. Then BVNK integrated Stellar into its enterprise stablecoin infrastructure on September 22. BVNK processes roughly $39B in annualized payment volume and supports businesses across more than 130 countries. So right as the CFTC Chairman is talking about continuous onchain financial markets, Stellar is getting plugged deeper into enterprise stablecoin settlement. That feels extremely well timed. But the part I think people are going to discover later is Stellar’s agentic-finance positioning. The Stellar Development Foundation is a Premier member of the Linux Foundation’s x402 Foundation and holds a governing-board seat. Stellar supports x402. It also supports Machine Payments Protocol. That means an AI agent can use tokenized money or USDC to pay for data, an API, a service or another digital resource. Five-second-class settlement becomes very interesting when the payer is software. Humans sleep. Agents do not. Humans might make a handful of financial transactions during a day. Software could eventually make hundreds, thousands or millions of tiny economic decisions continuously. Every one of those transactions creates network activity. And XLM still sits underneath Stellar’s operation. Transaction fees are paid in XLM. Account reserves require XLM. Smart-contract rent and network resources use XLM. So an enterprise can think entirely in dollars. An AI agent can think in USDC. The ledger still operates with XLM beneath the surface. Then you get to $HBAR, and Selig’s language becomes almost eerie. Mass tokenization? Archax has more than 100 tokenized assets tied to its Hedera infrastructure, six asset managers onboarded and more than $300M tokenized in the context. Real-time collateral mobility? Lloyds Banking Group and Aberdeen already used tokenized money-market-fund units and UK gilts around regulated FX activity through Hedera-connected infrastructure. 24/7 markets? Archax tokenized the Canary HBAR ETF on Hedera and executed an onchain transaction on Thanksgiving Day 2025, when conventional U.S. markets were closed. Programmable finance? Archax and Hedera launched tokenized securities capable of distributing interest payments in USDC at near-second-by-second intervals directly into investor wallets. Agentic finance? Hedera integrated x402. Its implementation supports HBAR and USDC payments. Hedera also has Agent Kit and Agent Lab, giving developers infrastructure for transaction-capable autonomous agents. Then Accenture joined the Hedera Council around trusted infrastructure for enterprise AI and the agentic economy. So when Michael Selig says regulators are preparing for markets increasingly run through algorithms and agentic finance, Hedera already has developers building machines that can transact on its network. And HBAR has a very clean economic role. Every Hedera application transaction ultimately pays a network fee in HBAR. HBAR also secures consensus through staking. So an investor could own a tokenized security. Receive USDC cash flows. An AI agent could make payments. A business could transfer stablecoins. A collateral position could move. The user may never touch HBAR directly. The network still uses it. That model is important. People keep asking whether stablecoins compete with utility coins. In these systems, stablecoins can actually create more network activity. More RLUSD on XRPL can create more XRPL settlement. More USDC on Stellar can create more Stellar activity. More USDC on Hedera can create more Hedera transactions. The stablecoin is the money. The native asset powers part of the infrastructure moving that money. Now connect all of this with the SEC. Its September 17 exemption allows qualifying venues to experiment with tokenized U.S.-listed stocks using permissioned AMM pools whose smart contracts are public and deployed on public, permissionless distributed ledgers. Hester Peirce said the exemption is preparing market participants for a future where tokenized stock trading onchain becomes commonplace. So you have the SEC preparing securities markets for onchain trading. The CFTC preparing commodity and derivatives regulation around mass tokenization, continuous markets and AI. And three assets already explicitly sitting in the digital-commodity taxonomy: XRP. XLM. HBAR. This is where my conviction comes from. Picture what the financial stack could eventually contain: tokenized Apple shares, tokenized Nvidia shares, tokenized ETFs, Treasury products, money-market funds, commercial paper, stablecoins, digital commodities, lending markets, collateral, AMMs, AI agents. All moving continuously. No Friday closing bell for the blockchain. No waiting until Monday morning to move collateral. No human required for every tiny transaction. The financial system becomes programmable. And these three networks are already preparing for that kind of activity. For XRP, I see a path from payments into a broader institutional liquidity, tokenization, collateral and agent-payment network. For XLM, I see stablecoin settlement, tokenized assets and machine payments beginning to converge. For HBAR, I see institutional tokenization, continuous collateral, stablecoin cash flows and machine commerce operating on one network. And each native asset has an actual network role. XRP handles fees, reserves and liquidity. XLM handles fees, reserves and smart-contract resources. HBAR handles fees and network security. That distinction matters immensely to me. These are not coins being randomly attached to a tokenization headline. Their networks are already trying to do the exact jobs a tokenized financial system needs. And the regulator responsible for enormous parts of U.S. derivatives markets is now publicly saying the market itself is changing into something more onchain, continuous, automated and tokenized. A few years ago, people holding utility coins had to explain why finance might ever move onto public blockchain infrastructure. Now regulators are preparing rules for that environment. That is a massive change in the conversation. And if tokenized securities, stablecoins, collateral and autonomous agents really begin operating around the clock, I believe the market eventually has to look at $XRP $XLM $HBAR through a much bigger lens than it does today. Does this finally wake you up?
0:41

OH BOY! 🚨 THE CFTC JUST SAID IT’S GO TIME FOR 24/7 ONCHAIN MARKETS. If you’re still sleeping on $XRP, $XLM and $HBAR, this long read may completely change how you see what’s being built. I’ve been going back through everything CFTC Chairman Michael Selig said this week, and the more I connect it with what is already happening on XRP Ledger, Stellar and Hedera, the more serious this gets. Selig is talking about a financial market that looks very different from the one most people grew up with. Markets that stay open around the clock. Assets that exist directly on public ledgers. Stablecoins moving alongside securities. Collateral moving almost instantly. Algorithms making decisions faster than humans. AI agents eventually trading, paying, borrowing and moving value automatically. His September 22 remarks were explicit: markets need to prepare for mass tokenization, blockchain and AI adoption at scale, onchain finance and 24/7 trading. He also described tokenization as infrastructure that could enable near-instant settlement and real-time collateral mobility across clearinghouses, intermediaries and end users. Then on CNBC the next day, he went even further and talked about markets transitioning toward “24-7 on-chain” systems driven by algorithms and agentic finance. That language is incredibly important to me because $XRP, $XLM and $HBAR are already built around parts of that exact world. And there is another detail people need to remember. Back on March 17, the SEC issued its crypto interpretation with CFTC participation. The interpretation explicitly lists XRP, Stellar (XLM) and Hedera (HBAR) as examples of digital commodities. Read those two developments together. March: XRP, XLM and HBAR enter the agencies’ digital-commodity framework. September: the CFTC Chairman starts publicly preparing the market for mass tokenization, continuous onchain finance, AI and automated markets. That connection deserves way more attention. And the regulatory work kept moving even after the CLARITY Act failed to advance on September 15 by a 49–50 cloture vote. Two days later, the CFTC had a crypto-market regulatory action sitting with OIRA, titled “Regulation Crypto Asset Transactions and Regulation Crypto Asset Markets,” RIN 3038-AF80. The same day, the SEC launched its five-year Innovation Exemption allowing qualifying Tokenized Securities Venues to use permissioned AMM liquidity pools on public, permissionless distributed ledgers for tokenized NMS stocks. Then September 21, the CFTC announced its Frontier Forum Series, beginning October 28 with a forum specifically about artificial intelligence and agentic finance. That is a lot happening in one week. And when I compare it with these three networks, I see something very specific. Start with $XRP. XRPL already operates 24/7. It already has a native DEX. It already has order books. It already has AMMs. It already has compliance-focused infrastructure. And it already has institutional tokenization happening on the ledger. Guggenheim Treasury Services’ Digital Commercial Paper came to XRPL after the platform had already processed more than $280M in issuance. Ondo OUSG gives qualified investors tokenized Treasury exposure with RLUSD available for settlement around the clock. Aviva Investors announced its intention to work with Ripple around bringing traditional fund structures onto XRPL. Then Ripple invested in ZILO and Licuido around transfer agency, issuance and collateral infrastructure. Pause there. Selig specifically talks about real-time collateral mobility. XRPL is moving toward an environment where assets can be issued, traded, settled, collateralized and eventually lent against on the same digital infrastructure. And the stablecoin side is becoming serious. The context puts RLUSD at roughly $2.3956B circulating, backed by about $2.5177B in reserves. So now XRPL can have tokenized Treasuries, commercial paper, stablecoin liquidity, a native DEX and institutional trading infrastructure living together. That starts looking less like one payments product and more like a financial market. Then agentic finance enters. Ripple’s XRPL AI Starter Kit supports x402 payments using XRP or RLUSD. An AI agent can potentially request an API, pay for compute, purchase data or access a digital service automatically. No human needs to open a banking app every time. The agent can pay. The service can respond. The settlement happens on XRPL. And XRP has native economic roles throughout the ledger. Transaction fees consume XRP. Accounts require XRP reserves. XRP can also participate in cross-asset routing and auto-bridging. So if Selig’s 24/7, tokenized and automated market actually grows, XRPL already has technology aimed directly at that environment. Now move to $XLM. Stellar may be one of the easiest networks to understand through Selig’s framework because it already has both assets and money moving onchain. By Q2 2026, tokenized RWAs on Stellar had crossed $3B. Stablecoin transfer volume reached $11.4B during Q2. And the network had more than 10.7M active accounts. Then BVNK integrated Stellar into its enterprise stablecoin infrastructure on September 22. BVNK processes roughly $39B in annualized payment volume and supports businesses across more than 130 countries. So right as the CFTC Chairman is talking about continuous onchain financial markets, Stellar is getting plugged deeper into enterprise stablecoin settlement. That feels extremely well timed. But the part I think people are going to discover later is Stellar’s agentic-finance positioning. The Stellar Development Foundation is a Premier member of the Linux Foundation’s x402 Foundation and holds a governing-board seat. Stellar supports x402. It also supports Machine Payments Protocol. That means an AI agent can use tokenized money or USDC to pay for data, an API, a service or another digital resource. Five-second-class settlement becomes very interesting when the payer is software. Humans sleep. Agents do not. Humans might make a handful of financial transactions during a day. Software could eventually make hundreds, thousands or millions of tiny economic decisions continuously. Every one of those transactions creates network activity. And XLM still sits underneath Stellar’s operation. Transaction fees are paid in XLM. Account reserves require XLM. Smart-contract rent and network resources use XLM. So an enterprise can think entirely in dollars. An AI agent can think in USDC. The ledger still operates with XLM beneath the surface. Then you get to $HBAR, and Selig’s language becomes almost eerie. Mass tokenization? Archax has more than 100 tokenized assets tied to its Hedera infrastructure, six asset managers onboarded and more than $300M tokenized in the context. Real-time collateral mobility? Lloyds Banking Group and Aberdeen already used tokenized money-market-fund units and UK gilts around regulated FX activity through Hedera-connected infrastructure. 24/7 markets? Archax tokenized the Canary HBAR ETF on Hedera and executed an onchain transaction on Thanksgiving Day 2025, when conventional U.S. markets were closed. Programmable finance? Archax and Hedera launched tokenized securities capable of distributing interest payments in USDC at near-second-by-second intervals directly into investor wallets. Agentic finance? Hedera integrated x402. Its implementation supports HBAR and USDC payments. Hedera also has Agent Kit and Agent Lab, giving developers infrastructure for transaction-capable autonomous agents. Then Accenture joined the Hedera Council around trusted infrastructure for enterprise AI and the agentic economy. So when Michael Selig says regulators are preparing for markets increasingly run through algorithms and agentic finance, Hedera already has developers building machines that can transact on its network. And HBAR has a very clean economic role. Every Hedera application transaction ultimately pays a network fee in HBAR. HBAR also secures consensus through staking. So an investor could own a tokenized security. Receive USDC cash flows. An AI agent could make payments. A business could transfer stablecoins. A collateral position could move. The user may never touch HBAR directly. The network still uses it. That model is important. People keep asking whether stablecoins compete with utility coins. In these systems, stablecoins can actually create more network activity. More RLUSD on XRPL can create more XRPL settlement. More USDC on Stellar can create more Stellar activity. More USDC on Hedera can create more Hedera transactions. The stablecoin is the money. The native asset powers part of the infrastructure moving that money. Now connect all of this with the SEC. Its September 17 exemption allows qualifying venues to experiment with tokenized U.S.-listed stocks using permissioned AMM pools whose smart contracts are public and deployed on public, permissionless distributed ledgers. Hester Peirce said the exemption is preparing market participants for a future where tokenized stock trading onchain becomes commonplace. So you have the SEC preparing securities markets for onchain trading. The CFTC preparing commodity and derivatives regulation around mass tokenization, continuous markets and AI. And three assets already explicitly sitting in the digital-commodity taxonomy: XRP. XLM. HBAR. This is where my conviction comes from. Picture what the financial stack could eventually contain: tokenized Apple shares, tokenized Nvidia shares, tokenized ETFs, Treasury products, money-market funds, commercial paper, stablecoins, digital commodities, lending markets, collateral, AMMs, AI agents. All moving continuously. No Friday closing bell for the blockchain. No waiting until Monday morning to move collateral. No human required for every tiny transaction. The financial system becomes programmable. And these three networks are already preparing for that kind of activity. For XRP, I see a path from payments into a broader institutional liquidity, tokenization, collateral and agent-payment network. For XLM, I see stablecoin settlement, tokenized assets and machine payments beginning to converge. For HBAR, I see institutional tokenization, continuous collateral, stablecoin cash flows and machine commerce operating on one network. And each native asset has an actual network role. XRP handles fees, reserves and liquidity. XLM handles fees, reserves and smart-contract resources. HBAR handles fees and network security. That distinction matters immensely to me. These are not coins being randomly attached to a tokenization headline. Their networks are already trying to do the exact jobs a tokenized financial system needs. And the regulator responsible for enormous parts of U.S. derivatives markets is now publicly saying the market itself is changing into something more onchain, continuous, automated and tokenized. A few years ago, people holding utility coins had to explain why finance might ever move onto public blockchain infrastructure. Now regulators are preparing rules for that environment. That is a massive change in the conversation. And if tokenized securities, stablecoins, collateral and autonomous agents really begin operating around the clock, I believe the market eventually has to look at $XRP $XLM $HBAR through a much bigger lens than it does today. Does this finally wake you up?

X Finance Bull

84,849 görüntüleme • 3 gün önce