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Introducing: Aevo Degen on Base Built different. Built for maximum degen. Now Live: - 1000x Leverage: Massive positions, minimal upfront capital. - Zero Trading Fees: Pay ONLY a share of profits. No profit? No fees. - Instant Execution: Trade exactly at the displayed price. No slippage. Available pairs: BTC,... show more

Aevo

117,456 subscribers

578,556 views • 1 year ago •via X (Twitter)

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10 Comments

jesse.base.eth1 year ago

@base thank you for building on base 🫡

Aevo1 year ago

@base appreciate the support sir :)

Luca Curran1 year ago

@base Based

jack-anorak1 year ago

@jessepollak @base oh hell yeah

shamdoo1 year ago

@base I want 10000x leverage

Aevo1 year ago

@base ✍️

Mr.Bai 白先生1 year ago

@base cool, 1000X

Kmen Siouxů1 year ago

@base Scam as original Aevo???

Dera 🦥1 year ago

@base 1000 as how Omo

Random1 year ago

@base 😳

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Pineapple $PAPPLE

553,005 views • 1 year ago

The time has come. Introducing Parallel an all-in-one copy trading platform for DeFi products that combines four years of our experience building on Solana and AI to create what we hope is a one-of-a-kind product for the Solana ecosystem. It’s our pleasure to announce that we’re now entering private beta for our first module built around Meteora DLMMs. You’ll be able to copy trade DLMM positions with fast execution and a ton of automated functions on top. Some key features: * Stop loss/take profit * Real-time PnL shown on the UI for your LP * Automatically claim fees when they reach X SOL or on a timer * Automatically swap all claimed fees into SOL * Become a power user and earn a % of fees from everyone copying your wallet * Generous referral comp And much more! Data feeds & AI: We understand what it takes for a copy trading platform to thrive, so we’ve been collecting real-time data from several contracts for both Meteora and the upcoming modules we’re releasing. As you can imagine, we’re handling tons of data, so with the help of AI, we’re not only analyzing potential up-and-coming wallets but also the top wallets on-chain that people don’t want you to know about. This applies to all aspects of DeFi—not just token trading. To access these data feeds, you’ll need $GP or our native Taiyo NFTs. More information will roll out as these feeds start to go live. Private Beta Access: We’re now collecting a list of the first 100 private beta testers, including LP army members, the Taiyo community, BOOGLES, and more. If you’re interested in getting early access, you can now submit your email at 👇 We recommend always creating a separate email for crypto purposes to keep your personal and online profiles separate. Excited to cook with you on our first non Launchpad related platform since Solport itself back in 2021. 🤝

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Tom

105,786 views • 1 year ago

I lost $27K on Polymarket not because I was wrong with my prediction. I lost because the interface is designed to kill my deposit. Most of you don't even understand that you are trading naked. You go to the website press Buy and go to sleep. And in the morning you see zero on your balance. Why? Because Polymarket in its current form is a trap for retail. Face the truth: > No Stop-loss: The price drops 40% while you sleep. You get liquidated because you physically cannot monitor the market 24/7. > No Take-profit: You had +80% profit. You hesitated. Went to sleep. In the morning you have -5%. > Limit orders don't work: You hit the button getting execution 3% worse than the screen due to slippage. Now look at who sits on the other side of your trade. Whales and market makers don't use the website. They use institutional terminals. TWAP algorithms: They spread their entry over hours to enter big without moving the price against themselves. Trailing Stops: The robot pulls the stop-loss following the price rise locking in profit automatically. You came to play chess. They came to play chess using the Stockfish engine. Your chances are zero. I spent weeks trying to find an equalizer tool. Most Telegram bots asked for my private key which is a scam. GitHub scripts required a programming degree. But I found what the institutions use TradeFox: This is not a garage project. Alliance DAO and CMT Digital are behind them. Real venture capital real audit. How this changes the game: Stop-Loss & Take-Profit: I set the exit rules once. The system executes them while I sleep. My deposit is protected. TWAP: I can enter with a big position without causing a price pump and without losing on slippage. Smart Discovery: Filter by liquidity and dumb money. No guessing. And most importantly for paranoids like me: 100% Self-Custodial. No KYC. Your money stays in your wallet. Infrastructure is protected by Privy with SOC 2 compliance. They physically cannot steal your funds. Fees? Lower than on Polymarket itself at 0.75% + cashback. I don't promise that this tool will make you a millionaire. The market is brutal. But with this terminal it is at least a fair fight. Stop trading naked. Put on your armor.

I lost $27K on Polymarket not because I was wrong with my prediction. I lost because the interface is designed to kill my deposit. Most of you don't even understand that you are trading naked. You go to the website press Buy and go to sleep. And in the morning you see zero on your balance. Why? Because Polymarket in its current form is a trap for retail. Face the truth: > No Stop-loss: The price drops 40% while you sleep. You get liquidated because you physically cannot monitor the market 24/7. > No Take-profit: You had +80% profit. You hesitated. Went to sleep. In the morning you have -5%. > Limit orders don't work: You hit the button getting execution 3% worse than the screen due to slippage. Now look at who sits on the other side of your trade. Whales and market makers don't use the website. They use institutional terminals. TWAP algorithms: They spread their entry over hours to enter big without moving the price against themselves. Trailing Stops: The robot pulls the stop-loss following the price rise locking in profit automatically. You came to play chess. They came to play chess using the Stockfish engine. Your chances are zero. I spent weeks trying to find an equalizer tool. Most Telegram bots asked for my private key which is a scam. GitHub scripts required a programming degree. But I found what the institutions use TradeFox: This is not a garage project. Alliance DAO and CMT Digital are behind them. Real venture capital real audit. How this changes the game: Stop-Loss & Take-Profit: I set the exit rules once. The system executes them while I sleep. My deposit is protected. TWAP: I can enter with a big position without causing a price pump and without losing on slippage. Smart Discovery: Filter by liquidity and dumb money. No guessing. And most importantly for paranoids like me: 100% Self-Custodial. No KYC. Your money stays in your wallet. Infrastructure is protected by Privy with SOC 2 compliance. They physically cannot steal your funds. Fees? Lower than on Polymarket itself at 0.75% + cashback. I don't promise that this tool will make you a millionaire. The market is brutal. But with this terminal it is at least a fair fight. Stop trading naked. Put on your armor.

Blaze

20,598 views • 8 months ago

My Girlfriend caught me smiling at my laptop at 2am. She thought I was texting someone. I was building a trading bot make $81,000 on Polymarket. This trader built a bot with Claude Fable 5 that makes 146 trades per hour. Result: $81,000 profit on Polymarket. Starting capital: $3,000. The bot trades the microstructure of short crypto Up/Down markets with an average entry price of 0.40. Execution speed: 2.44 trades per minute. The strategy has 3 layers: 1. Near-resolution sniping Buys outcomes that are obvious according to data, but Polymarket prices them at 0.90 to 0.99. The edge is certainty arbitrage. 2. Mispricing between fair price and the order book In the middle of the market, it enters undervalued positions relative to BTC/ETH/SOL moves. The edge is reading crypto correlation faster than the crowd. 3. Paired arbitrage and hedging Buys the second side as a hedge or when arbitrage edge appears. The edge is position protection while capturing spread. The entire profit curve is built on hundreds of micro-edge trades compounding. While manual traders debate entries, this bot executes 146 trades per hour with zero hesitation. No emotions. No guessing. Just reading market microstructure and exploiting gaps before they close. Most people are trying to predict where crypto goes next. This system just identifies mispriced outcomes, enters at 0.40 average, and repeats the edge until it compounds into serious profit. $3K turned into $81K through pure execution speed and multi-layer arbitrage. The system runs autonomous: → Claude Fable 5 handles 3-layer decision logic → Monitors short crypto markets 24/7 → Executes near-resolution sniping when certainty appears → Captures mispricing relative to BTC/ETH/SOL moves → Hedges positions through paired arbitrage No manual trading. No chart reading. Just finding micro-edges and exploiting them at scale. 💡 I'm sharing the complete Claude Fable 5 prompt and 3-layer trading workflow. Free for 24 hours. To get it: 1️⃣ Comment the word Fable 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar Make sure you follow me, so I can DM you the setup.

My Girlfriend caught me smiling at my laptop at 2am. She thought I was texting someone. I was building a trading bot make $81,000 on Polymarket. This trader built a bot with Claude Fable 5 that makes 146 trades per hour. Result: $81,000 profit on Polymarket. Starting capital: $3,000. The bot trades the microstructure of short crypto Up/Down markets with an average entry price of 0.40. Execution speed: 2.44 trades per minute. The strategy has 3 layers: 1. Near-resolution sniping Buys outcomes that are obvious according to data, but Polymarket prices them at 0.90 to 0.99. The edge is certainty arbitrage. 2. Mispricing between fair price and the order book In the middle of the market, it enters undervalued positions relative to BTC/ETH/SOL moves. The edge is reading crypto correlation faster than the crowd. 3. Paired arbitrage and hedging Buys the second side as a hedge or when arbitrage edge appears. The edge is position protection while capturing spread. The entire profit curve is built on hundreds of micro-edge trades compounding. While manual traders debate entries, this bot executes 146 trades per hour with zero hesitation. No emotions. No guessing. Just reading market microstructure and exploiting gaps before they close. Most people are trying to predict where crypto goes next. This system just identifies mispriced outcomes, enters at 0.40 average, and repeats the edge until it compounds into serious profit. $3K turned into $81K through pure execution speed and multi-layer arbitrage. The system runs autonomous: → Claude Fable 5 handles 3-layer decision logic → Monitors short crypto markets 24/7 → Executes near-resolution sniping when certainty appears → Captures mispricing relative to BTC/ETH/SOL moves → Hedges positions through paired arbitrage No manual trading. No chart reading. Just finding micro-edges and exploiting them at scale. 💡 I'm sharing the complete Claude Fable 5 prompt and 3-layer trading workflow. Free for 24 hours. To get it: 1️⃣ Comment the word Fable 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar Make sure you follow me, so I can DM you the setup.

Himanshu Kumar

68,944 views • 1 month ago

Swipe to Trade. Share to Earn. To all Gin MiniFX traders, Markets move fast — execution should move faster. Gin MiniFX officially launches Version 2.0, our most significant upgrade to date. This is more than a UI refresh — it’s a fundamental redesign of the trading journey, from market insight to order execution. 🔹 Four Core Enhancements 1️⃣ New Interaction Model: Swipe-Based Execution Swipe. Trade. Earn. Swipe to Trade: Swipe Left/Right to go long or short,Swipe Up/Down to switch instruments. Ultra-smooth animations: Precision feedback designed for seamless execution flow. 2️⃣ Smarter Decisions: Real-Time Market Sentiment Market Sentiment Indicator: Live Buy/Sell ratios across the platform, turning crowd positioning into actionable insight. Low-Barrier Trading Zone: A new “Small Amount” category in Watchlist — start trading with as little as $2 USD. 3️⃣ Ecosystem Integration: Deep Telegram Connectivity Automatic Telegram ID Binding: Backend-level identity recognition, zero manual setup. One-Click Performance Sharing: Generate sleek P&L visuals and share directly to Telegram communities. Referral & Incentive Hub: Transparent tracking with XP rewards and tangible incentives for ecosystem contributors. 4️⃣ Capital Flow Optimization: Simplified Web3 Payments TON Network Support: Seamless transfers via Telegram Wallet. QR-Code Deposits: Scan to fund instantly — no long wallet addresses, no friction. 🚀 WE ARE STILL EVOLVING Gin MiniFX 2.0 is a milestone — not the finish line. We continue to build at the intersection of Trading × Social × Gamification, shaping a truly frictionless trading ecosystem. Thank you for being part of the journey🚩. — GinFX Team Swipe to Trade. Share to Earn. #GINFX #GinMiniFX #forex #TradingView #BTC #USDCAD #GBPUSD #GoldRate

Swipe to Trade. Share to Earn. To all Gin MiniFX traders, Markets move fast — execution should move faster. Gin MiniFX officially launches Version 2.0, our most significant upgrade to date. This is more than a UI refresh — it’s a fundamental redesign of the trading journey, from market insight to order execution. 🔹 Four Core Enhancements 1️⃣ New Interaction Model: Swipe-Based Execution Swipe. Trade. Earn. Swipe to Trade: Swipe Left/Right to go long or short,Swipe Up/Down to switch instruments. Ultra-smooth animations: Precision feedback designed for seamless execution flow. 2️⃣ Smarter Decisions: Real-Time Market Sentiment Market Sentiment Indicator: Live Buy/Sell ratios across the platform, turning crowd positioning into actionable insight. Low-Barrier Trading Zone: A new “Small Amount” category in Watchlist — start trading with as little as $2 USD. 3️⃣ Ecosystem Integration: Deep Telegram Connectivity Automatic Telegram ID Binding: Backend-level identity recognition, zero manual setup. One-Click Performance Sharing: Generate sleek P&L visuals and share directly to Telegram communities. Referral & Incentive Hub: Transparent tracking with XP rewards and tangible incentives for ecosystem contributors. 4️⃣ Capital Flow Optimization: Simplified Web3 Payments TON Network Support: Seamless transfers via Telegram Wallet. QR-Code Deposits: Scan to fund instantly — no long wallet addresses, no friction. 🚀 WE ARE STILL EVOLVING Gin MiniFX 2.0 is a milestone — not the finish line. We continue to build at the intersection of Trading × Social × Gamification, shaping a truly frictionless trading ecosystem. Thank you for being part of the journey🚩. — GinFX Team Swipe to Trade. Share to Earn. #GINFX #GinMiniFX #forex #TradingView #BTC #USDCAD #GBPUSD #GoldRate

GinFX

20,565 views • 8 months ago

🚨 $HYPE 🚨 When $HYPE was trading around $75 and I opened a short position, almost every comment sounded the same: 💬 "New ATH is coming!" 💬 "This is the next BNB!" 💬 "$100–$150 is just around the corner!" The market has a funny way of punishing people when they start believing price can only move in one direction. 📉 After the correction, sentiment changed quickly. But here's the reality: No asset goes up forever. And no asset goes down forever either. I still wouldn't rule out one more sweep lower to grab remaining liquidity, but after that, a relief bounce toward the $68–$70 zone would make a lot of sense. 📊 The biggest mistakes usually happen when the crowd becomes too confident—whether at the top or at the bottom. That's why I focus on price action, not emotions. ❓What do you think? One more drop first, or is the reversal already near? 👇 Share your thoughts below. 👍 Like ❤️ Repost 🔔 Follow 📢 Turn on notifications #HYPE #Crypto #Trading #TechnicalAnalysis #Altcoins #CryptoMarket #PriceAction #SmartMoney #Investing

🚨 $HYPE 🚨 When $HYPE was trading around $75 and I opened a short position, almost every comment sounded the same: 💬 "New ATH is coming!" 💬 "This is the next BNB!" 💬 "$100–$150 is just around the corner!" The market has a funny way of punishing people when they start believing price can only move in one direction. 📉 After the correction, sentiment changed quickly. But here's the reality: No asset goes up forever. And no asset goes down forever either. I still wouldn't rule out one more sweep lower to grab remaining liquidity, but after that, a relief bounce toward the $68–$70 zone would make a lot of sense. 📊 The biggest mistakes usually happen when the crowd becomes too confident—whether at the top or at the bottom. That's why I focus on price action, not emotions. ❓What do you think? One more drop first, or is the reversal already near? 👇 Share your thoughts below. 👍 Like ❤️ Repost 🔔 Follow 📢 Turn on notifications #HYPE #Crypto #Trading #TechnicalAnalysis #Altcoins #CryptoMarket #PriceAction #SmartMoney #Investing

Zyak1991

24,662 views • 3 months ago

No way this should’ve worked. Dropped $20 into Claude. Left it running overnight. Woke up to: — full script built — +$87 from the first 4 fills Didn’t touch anything. Then I found this wallet: 0x04283f2fef49d70d8c55ab240450d17a65bf85b1 $330,988 profit 39,156 predictions $26,600 biggest win Copytrade Live since March 2026. Almost no one’s seen it. So I copied a few positions to test it. $70 → $312 in 48 hours. Every trade looked the same. Same structure. Same logic. Only the time windows changed. This isn’t “trading” in the usual sense. It’s one rule — repeated at scale. A few examples from its history: $8,378 → $34,940 $5,022 → $19,289 $4,633 → $14,012 No guessing. Just execution. Here’s the framework behind it: Only trades 5m and 15m BTC windows with strong directional bias Position size scales with edge (not fixed bets) Skips high-volatility chaos entirely Learns from every settled trade and adjusts That’s it. Claude built it in under an hour. Funded with $20. First trade triggered in under an hour. Not prediction. Structure + repetition. Most people won’t look twice. That’s usually where the edge is.

No way this should’ve worked. Dropped $20 into Claude. Left it running overnight. Woke up to: — full script built — +$87 from the first 4 fills Didn’t touch anything. Then I found this wallet: 0x04283f2fef49d70d8c55ab240450d17a65bf85b1 $330,988 profit 39,156 predictions $26,600 biggest win Copytrade Live since March 2026. Almost no one’s seen it. So I copied a few positions to test it. $70 → $312 in 48 hours. Every trade looked the same. Same structure. Same logic. Only the time windows changed. This isn’t “trading” in the usual sense. It’s one rule — repeated at scale. A few examples from its history: $8,378 → $34,940 $5,022 → $19,289 $4,633 → $14,012 No guessing. Just execution. Here’s the framework behind it: Only trades 5m and 15m BTC windows with strong directional bias Position size scales with edge (not fixed bets) Skips high-volatility chaos entirely Learns from every settled trade and adjusts That’s it. Claude built it in under an hour. Funded with $20. First trade triggered in under an hour. Not prediction. Structure + repetition. Most people won’t look twice. That’s usually where the edge is.

Discover

32,469 views • 4 months ago

XCRIPT-ALGO UPDATE : Current profit +276% ✅ = $1,435,352 Million Initial Portfolio margin : $400,000 $BTC Hits a new all-time high of $93k and currently consolidating between $88k - $92k. How did our Xcript-Algo-system perform these period since the last update ? Perfectly, as usual. Capital Gains Data Visualization Below : 𝟮76% 𝗶𝗻 𝗰𝘂𝗺𝘂𝗹𝗮𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗳𝗶𝘁 𝗼𝘃𝗲𝗿 𝗮 𝟭1-𝗺𝗼𝗻𝘁𝗵 𝗽𝗲𝗿𝗶𝗼𝗱 𝟲𝟲%–𝟳𝟬% 𝗽𝗿𝗼𝗳𝗶𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗳𝗶𝘁 𝗳𝗮𝗰𝘁𝗼𝗿: 𝟭.𝟰𝟯 ——————— The Algo-system opened a long position for all of our early subscribers remotely on September 8, 2024, at a price of 58,700 as you can see on the video visualization attached. You can clearly see how it manages 19+ positions simultaneously. "WITH EMPHASIS ON AUTOMATION" Absolutely incredible Performance. Current profit +276% ✅ = $1,435,352 M Total Loss in the last 11 months = $335,280 The history of all open positions and results over the past months can be seen on the chart. ——————— HOW TO DEPLOY ? 👇🏼Here: The only instrument you need is your trading exchange, which you are in full custody of. All trading functions handled remotely from our server. We have grown into 33 retail investors and 4 private hedge-funds in the last 5+ years deploying the Algo-system remotely. You can find more info on the Algorithm architecture framework, Our client's testimonial and live trading equity on our website. Remotely deployed with your 100% custody. ——————— TAKE A LOOK :

XCRIPT-ALGO UPDATE : Current profit +276% ✅ = $1,435,352 Million Initial Portfolio margin : $400,000 $BTC Hits a new all-time high of $93k and currently consolidating between $88k - $92k. How did our Xcript-Algo-system perform these period since the last update ? Perfectly, as usual. Capital Gains Data Visualization Below : 𝟮76% 𝗶𝗻 𝗰𝘂𝗺𝘂𝗹𝗮𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗳𝗶𝘁 𝗼𝘃𝗲𝗿 𝗮 𝟭1-𝗺𝗼𝗻𝘁𝗵 𝗽𝗲𝗿𝗶𝗼𝗱 𝟲𝟲%–𝟳𝟬% 𝗽𝗿𝗼𝗳𝗶𝘁𝗮𝗯𝗹𝗲 𝗣𝗿𝗼𝗳𝗶𝘁 𝗳𝗮𝗰𝘁𝗼𝗿: 𝟭.𝟰𝟯 ——————— The Algo-system opened a long position for all of our early subscribers remotely on September 8, 2024, at a price of 58,700 as you can see on the video visualization attached. You can clearly see how it manages 19+ positions simultaneously. "WITH EMPHASIS ON AUTOMATION" Absolutely incredible Performance. Current profit +276% ✅ = $1,435,352 M Total Loss in the last 11 months = $335,280 The history of all open positions and results over the past months can be seen on the chart. ——————— HOW TO DEPLOY ? 👇🏼Here: The only instrument you need is your trading exchange, which you are in full custody of. All trading functions handled remotely from our server. We have grown into 33 retail investors and 4 private hedge-funds in the last 5+ years deploying the Algo-system remotely. You can find more info on the Algorithm architecture framework, Our client's testimonial and live trading equity on our website. Remotely deployed with your 100% custody. ——————— TAKE A LOOK :

Sir Dante ~THE 1st 🔺

11,849 views • 1 year ago

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 views • 9 months ago