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Slippage Comparison Test #2 using stop market orders: FOMC Minutes (High Volatility period) 7/30/2025 ProjectX: 1 tick slippage (execute @ 23562 fill @ 23562.25) Tradovate: 1 tick slippage (execute @ 23562 fill @ 23562.25)

ProjectX

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26,645 次观看 • 1 年前 •via X (Twitter)

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Slippage Comparison Test using stop market orders: FOMC Event 7/30/2025 ProjectX: 2 ticks on each order Rithmic: 12 ticks order #1 / 14 ticks order #2 Tradovate: 4 ticks order #1 / 2 ticks order #2

Slippage Comparison Test using stop market orders: FOMC Event 7/30/2025 ProjectX: 2 ticks on each order Rithmic: 12 ticks order #1 / 14 ticks order #2 Tradovate: 4 ticks order #1 / 2 ticks order #2

ProjectX

22,182 次观看 • 1 年前

M E S S I E R | P2P Exchange Live since 12 Nov 2024, today we’re celebrating the milestone of 200 Liquidity Partners with the addition of $BLACK! 🎉 A huge thanks to all our partners for their support and for adding liquidity. By enabling their communities to trade Peer-2-Peer with Smart DEX Routing, every order gets filled and traders receive more value. On the P2P Exchange, P2P trades execute at live market rates with zero slippage, no MEV risks, and no buy or sell token taxes. With Direct Fill and DEX Fallback, missing liquidity is sourced from multiple pools to secure the best available deals. Enjoy the benefits of Hybrid P2P-DEX trades at:

M E S S I E R | P2P Exchange Live since 12 Nov 2024, today we’re celebrating the milestone of 200 Liquidity Partners with the addition of $BLACK! 🎉 A huge thanks to all our partners for their support and for adding liquidity. By enabling their communities to trade Peer-2-Peer with Smart DEX Routing, every order gets filled and traders receive more value. On the P2P Exchange, P2P trades execute at live market rates with zero slippage, no MEV risks, and no buy or sell token taxes. With Direct Fill and DEX Fallback, missing liquidity is sourced from multiple pools to secure the best available deals. Enjoy the benefits of Hybrid P2P-DEX trades at:

MESSIER | M87

26,332 次观看 • 11 个月前

This trader reportedly made $90,000 in one day after using Claude Fable 5 to test 600 strategies in 48 hours. He was not smarter than Wall Street. He simply killed bad ideas thousands of times faster. His old backtesting system needed nearly a week to evaluate one strategy. Claude Fable 5 reportedly reduced the same process to around two minutes, letting him test hundreds of ideas over a single weekend. The results were brutal. 597 strategies failed. Only 3 survived. Those three were then deployed into live Polymarket trading and reportedly generated $90,000 in one day. The real edge was not discovering one brilliant strategy. It was eliminating almost every weak strategy before real money touched the market. His process started with a simple rule: “When the order book leans 70/30 during the final 90 seconds, buy the UP side.” Fable 5 then replayed that rule tick by tick across thousands of settled markets, including real order books, fills, liquidity and slippage. Two minutes later, the system could show whether the idea had any chance of surviving. The three successful strategies now reportedly run through MiroFish, use Kelly-based position sizing and only enter when simulated expectations diverge from the live market. That is what makes AI quant trading powerful. It does not instantly turn someone into a trading genius. It gives them far more attempts to test ideas, reject weak setups and identify the few patterns that remain profitable after realistic simulation. A traditional fund might test 20 strategies in a quarter. He tested 600 in one weekend. The advantage was not better intuition. It was faster elimination.

This trader reportedly made $90,000 in one day after using Claude Fable 5 to test 600 strategies in 48 hours. He was not smarter than Wall Street. He simply killed bad ideas thousands of times faster. His old backtesting system needed nearly a week to evaluate one strategy. Claude Fable 5 reportedly reduced the same process to around two minutes, letting him test hundreds of ideas over a single weekend. The results were brutal. 597 strategies failed. Only 3 survived. Those three were then deployed into live Polymarket trading and reportedly generated $90,000 in one day. The real edge was not discovering one brilliant strategy. It was eliminating almost every weak strategy before real money touched the market. His process started with a simple rule: “When the order book leans 70/30 during the final 90 seconds, buy the UP side.” Fable 5 then replayed that rule tick by tick across thousands of settled markets, including real order books, fills, liquidity and slippage. Two minutes later, the system could show whether the idea had any chance of surviving. The three successful strategies now reportedly run through MiroFish, use Kelly-based position sizing and only enter when simulated expectations diverge from the live market. That is what makes AI quant trading powerful. It does not instantly turn someone into a trading genius. It gives them far more attempts to test ideas, reject weak setups and identify the few patterns that remain profitable after realistic simulation. A traditional fund might test 20 strategies in a quarter. He tested 600 in one weekend. The advantage was not better intuition. It was faster elimination.

Secta

81,504 次观看 • 9 天前

M E S S I E R | P2P Roadmap Think P2P swaps are just a simple trade between two users? Think again! The current P2P Exchange goes far beyond basic P2P trading, offering Multi-Swap order fills where multiple buyers can partially fill your order, along with Linear or Locked Token Vesting for gradual payments to team members, KOLs, or token discount promotions that attract new holders without immediate sell risks. You can trade at Live Market Rates, or set offers at fixed percentages above or below market rates to create better deals. And with Order Alerts sent to over 100 Telegram groups and easy-to-share order URLs, your offer gets filled even faster. And we’re just getting started! The New Roadmap takes P2P trading to the next level! We’re building a community-driven TradeHub to keep users and liquidity active. Users can place Direct Bids on each other’s funds and receive real-time Email Notifications, creating a dynamic and active P2P trading environment. To give users even more control, we’re introducing P2P Limit Orders for automated buy and sell orders at user-defined prices. If your order isn’t filled in time, you can set a custom countdown timer to trigger Smart DEX Routing, which will partially or fully execute the order based on your predefined slippage tolerance, helping you tap into the best available price through DEX liquidity. And that’s just the beginning. Upcoming features include: ▪️ TradeHub ▪️ P2P Wallet ▪️ Bidding System ▪️ P2P Orderbook ▪️ P2P NFT Trading ▪️ P2P Limit Orders ▪️ Email Notifications ▪️ Smart DEX Routing ▪️ DEX Fallback Timer ▪️ DEX Slippage Guard ▪️ CEX-Style Homepage ▪️ Base & BNB Chain Integration

M E S S I E R | P2P Roadmap Think P2P swaps are just a simple trade between two users? Think again! The current P2P Exchange goes far beyond basic P2P trading, offering Multi-Swap order fills where multiple buyers can partially fill your order, along with Linear or Locked Token Vesting for gradual payments to team members, KOLs, or token discount promotions that attract new holders without immediate sell risks. You can trade at Live Market Rates, or set offers at fixed percentages above or below market rates to create better deals. And with Order Alerts sent to over 100 Telegram groups and easy-to-share order URLs, your offer gets filled even faster. And we’re just getting started! The New Roadmap takes P2P trading to the next level! We’re building a community-driven TradeHub to keep users and liquidity active. Users can place Direct Bids on each other’s funds and receive real-time Email Notifications, creating a dynamic and active P2P trading environment. To give users even more control, we’re introducing P2P Limit Orders for automated buy and sell orders at user-defined prices. If your order isn’t filled in time, you can set a custom countdown timer to trigger Smart DEX Routing, which will partially or fully execute the order based on your predefined slippage tolerance, helping you tap into the best available price through DEX liquidity. And that’s just the beginning. Upcoming features include: ▪️ TradeHub ▪️ P2P Wallet ▪️ Bidding System ▪️ P2P Orderbook ▪️ P2P NFT Trading ▪️ P2P Limit Orders ▪️ Email Notifications ▪️ Smart DEX Routing ▪️ DEX Fallback Timer ▪️ DEX Slippage Guard ▪️ CEX-Style Homepage ▪️ Base & BNB Chain Integration

MESSIER | M87

81,835 次观看 • 1 年前

The Complete Futures Trading Strategy (Just 3 Steps, 2 Timeframes) (and if you want the full 2-hour masterclass from which the video below was clipped from—just comment “MASTERCLASS” and I’ll DM it to you in the next few minutes) Firstly, futures trading helps you achieve consistent profits with maximum flexibility—trade around your 9-5, your timezone, or any lifestyle commitment. It's one of the easiest markets to trade because: (1) You get regulated leverage without shady brokers (2) Deep liquidity means instant execution with zero slippage (3) Markets are open 23 hours a day from Sunday evening to Friday evening (4) And you can trade during Asia, London, or New York sessions—whenever fits YOUR schedule. HOW TO START: You only need 2 timeframes: 1) Higher timeframe: 5-minute 2) Lower timeframe: 1-minute Then we use these while following the 3-step strategy: Step 1: Identify Break of Structure On the 5-minute chart, find where price breaks the previous swing high (bullish) or swing low (bearish). This tells you the trend direction. If bullish, only look for longs. If bearish, only shorts. Step 2: Mark High-Probability Zones Find the supply/demand zone that LED to that break of structure. A high-probability zone must have all three: 1) Created a break of structure 2) Left an imbalance (gap in price) 3) Swept liquidity (triggered stop losses) Step 3: Wait for Entry Signal Avoid entering on first mitigation—that's the trap (inducement). Instead, wait for price to: 1) Mitigate your zone 2) Create a fake bounce (inducement) 3) Sweep the liquidity below/above that first reaction 4) THEN enter on the second move Then place stop loss below the liquidity sweep candle. Target minimum 1:2 risk-reward.

The Complete Futures Trading Strategy (Just 3 Steps, 2 Timeframes) (and if you want the full 2-hour masterclass from which the video below was clipped from—just comment “MASTERCLASS” and I’ll DM it to you in the next few minutes) Firstly, futures trading helps you achieve consistent profits with maximum flexibility—trade around your 9-5, your timezone, or any lifestyle commitment. It's one of the easiest markets to trade because: (1) You get regulated leverage without shady brokers (2) Deep liquidity means instant execution with zero slippage (3) Markets are open 23 hours a day from Sunday evening to Friday evening (4) And you can trade during Asia, London, or New York sessions—whenever fits YOUR schedule. HOW TO START: You only need 2 timeframes: 1) Higher timeframe: 5-minute 2) Lower timeframe: 1-minute Then we use these while following the 3-step strategy: Step 1: Identify Break of Structure On the 5-minute chart, find where price breaks the previous swing high (bullish) or swing low (bearish). This tells you the trend direction. If bullish, only look for longs. If bearish, only shorts. Step 2: Mark High-Probability Zones Find the supply/demand zone that LED to that break of structure. A high-probability zone must have all three: 1) Created a break of structure 2) Left an imbalance (gap in price) 3) Swept liquidity (triggered stop losses) Step 3: Wait for Entry Signal Avoid entering on first mitigation—that's the trap (inducement). Instead, wait for price to: 1) Mitigate your zone 2) Create a fake bounce (inducement) 3) Sweep the liquidity below/above that first reaction 4) THEN enter on the second move Then place stop loss below the liquidity sweep candle. Target minimum 1:2 risk-reward.

The Trading Geek (Brad Goh)

21,781 次观看 • 6 个月前

This guy from Ohio made over $1,000,000 by doing just one thing - he built an AI trading bot for crypto markets. His algo has been printing money non-stop for TWO FULL YEARS. Not luck. Not fake. Just pure consistent alpha. I reverse-engineered the whole thing brick by brick. His wallet: Same trader. Same playbook. Five times. $34 -> $4,113 - ETH UP on Nov 25 (x119.7) $252 -> $22,202 - ETH UP on Feb 7 (x88.0) $46 -> $4,048 - ETH UP on Aug 15, NO side (x87.8) $138 -> $7,148 - SOL DOWN in September (x51.5) $63 -> $3,259 - ETH DOWN on May 16 (x51.1) $1,003,045 total profit. 3,210 trades. 78% win rate. I had to know if he was just lucky. So I rebuilt his entire pipeline using Claude + Horizon + a PolyBench fork running on Nautilus-core. 7 stages: Event Ingest -> CLOB Snap -> News Fetch -> AI Infer -> EV+ Gate -> Size -> Execute. CLOB depth at entry: $21K. Slippage budget: 0.6¢. Realized fill: 0.4¢. DuckDB parquet, 41.8 GB of point-in-time market state. He doesn’t predict ETH price. He reads the gap between what his model knows and what the crowd hasn’t priced in yet. Every dollar he made is someone else paying for not seeing the mispricing in time. Save this article if you want to learn how to build it. Or just copy the trades of the guy who has been trading perfectly for two years straight. Use this bot:

This guy from Ohio made over $1,000,000 by doing just one thing - he built an AI trading bot for crypto markets. His algo has been printing money non-stop for TWO FULL YEARS. Not luck. Not fake. Just pure consistent alpha. I reverse-engineered the whole thing brick by brick. His wallet: Same trader. Same playbook. Five times. $34 -> $4,113 - ETH UP on Nov 25 (x119.7) $252 -> $22,202 - ETH UP on Feb 7 (x88.0) $46 -> $4,048 - ETH UP on Aug 15, NO side (x87.8) $138 -> $7,148 - SOL DOWN in September (x51.5) $63 -> $3,259 - ETH DOWN on May 16 (x51.1) $1,003,045 total profit. 3,210 trades. 78% win rate. I had to know if he was just lucky. So I rebuilt his entire pipeline using Claude + Horizon + a PolyBench fork running on Nautilus-core. 7 stages: Event Ingest -> CLOB Snap -> News Fetch -> AI Infer -> EV+ Gate -> Size -> Execute. CLOB depth at entry: $21K. Slippage budget: 0.6¢. Realized fill: 0.4¢. DuckDB parquet, 41.8 GB of point-in-time market state. He doesn’t predict ETH price. He reads the gap between what his model knows and what the crowd hasn’t priced in yet. Every dollar he made is someone else paying for not seeing the mispricing in time. Save this article if you want to learn how to build it. Or just copy the trades of the guy who has been trading perfectly for two years straight. Use this bot:

cvxv666

70,463 次观看 • 2 个月前

$most Polymarket bots die the same way they quote symmetrically around mid-price price moves they absorb the loss repeat until account is empty the fix has been in academic papers since 2008 Stoikov figured it out studying stock market microstructure the math translates directly to prediction markets here's what actually matters: mid-price is a bad signal it's the average of best bid and ask on thin Polymarket orderbooks that number is almost meaningless what you want is VAMP Volume Adjusted Mid Price you walk into the orderbook depth and calculate the weighted average price for a given volume filters out the gaps, gives you a real reference point then you stop quoting symmetrically the reservation price formula: r = Mid - β × Q Q is your current inventory if you're long YES contracts, r shifts down automatically your bot starts selling YES cheaper and stops buying aggressively target is always flat inventory the spread isn't static either it has two components: volatility premium (widens when market moves fast) microstructure premium (depends on how often orders actually fill) if Polymarket odds start swinging fast, spread widens in real time static spread = guaranteed adverse selection - one more thing Stoikov points out: small tick size markets are where this model actually works large-tick markets (CME futures, liquid ETFs) have massive queues you can't nudge your price by a fraction of a tick without losing your place Polymarket is small-tick by nature binary markets, USDC pricing, sparse orderbooks that's exactly the environment this model was built for the P&L comparison between naive bots and inventory-controlled bots is not close naive strategy: wide distribution, occasional huge wins, regular wipeouts inventory control: tight distribution, consistent positive drift, rare catastrophic losses the "pennies in front of a steamroller" problem doesn't go away but you can see the steamroller coming if you're watching orderbook imbalance when bid volume heavily outweighs ask volume price is about to move up your bot should already be adjusting before the move happens that's the wealth still building the inventory control layer myself using for live execution in the meantime it handles the market scanning and order management while i finish the rest$

most Polymarket bots die the same way they quote symmetrically around mid-price price moves they absorb the loss repeat until account is empty the fix has been in academic papers since 2008 Stoikov figured it out studying stock market microstructure the math translates directly to prediction markets here's what actually matters: mid-price is a bad signal it's the average of best bid and ask on thin Polymarket orderbooks that number is almost meaningless what you want is VAMP Volume Adjusted Mid Price you walk into the orderbook depth and calculate the weighted average price for a given volume filters out the gaps, gives you a real reference point then you stop quoting symmetrically the reservation price formula: r = Mid - β × Q Q is your current inventory if you're long YES contracts, r shifts down automatically your bot starts selling YES cheaper and stops buying aggressively target is always flat inventory the spread isn't static either it has two components: volatility premium (widens when market moves fast) microstructure premium (depends on how often orders actually fill) if Polymarket odds start swinging fast, spread widens in real time static spread = guaranteed adverse selection - one more thing Stoikov points out: small tick size markets are where this model actually works large-tick markets (CME futures, liquid ETFs) have massive queues you can't nudge your price by a fraction of a tick without losing your place Polymarket is small-tick by nature binary markets, USDC pricing, sparse orderbooks that's exactly the environment this model was built for the P&L comparison between naive bots and inventory-controlled bots is not close naive strategy: wide distribution, occasional huge wins, regular wipeouts inventory control: tight distribution, consistent positive drift, rare catastrophic losses the "pennies in front of a steamroller" problem doesn't go away but you can see the steamroller coming if you're watching orderbook imbalance when bid volume heavily outweighs ask volume price is about to move up your bot should already be adjusting before the move happens that's the wealth still building the inventory control layer myself using for live execution in the meantime it handles the market scanning and order management while i finish the rest

cryptovcdegen

19,483 次观看 • 5 个月前

Footprint & Market Profile (TPO) | Complete Guide a video 📹 Timestamps: 0:47 - chart setup & exo intro 1:50 - tick size 2:47 - converting BTC to USD 3:37 - aggregated footprint 5:14 - footprint order types 7:20 - understanding volume & delta 11:22 - cluster & text types 15:22 - intra-bar components 17:26 - footprint bar statistics 19:21 - open interest (aggregated) 20:37 - using the footprint IMPORTANT 26:02 - net longs/net shorts 26:42 - tsize - note 27:11 - stacked imbalances 29:56 - other neat exo features 30:48 - liquidations 31:57 - basics of TPO 34:58 - TPO vs volume profile 36:45 - POC discrepancies 39:48 - poor highs/lows 44:06 - single prints/gaps 46:03 - HTF TPO settings 48:26 - initial balance 49:55 - custom tpo splits 51:41 - merging sessions & volume vs. time 52:48 - session filtering 54:11 - market profile statistics

Luckshury

61,669 次观看 • 1 年前

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!

Oracle Boar

152,917 次观看 • 20 天前

A trader crashed the Dow from his parents' bedroom, the market lost $1 trillion in minutes May 6, 2010, Navinder Sarao is sitting in his childhood room in Hounslow, west London He traded E-mini S&P 500 futures on the CME, placing hundreds of large sell orders he never intended to fill Cancel, replace, cancel, replace before anyone could execute That's spoofing That afternoon the Dow dropped 998 points, $1 trillion in market value disappeared The DOJ charged him for it, economists still argue whether he caused it or just lit the fuse Sarao made $879,018 that day, over six years roughly $50 million total He never moved out Five years later he was arrested at his parents' front door, faced up to 380 years in prison Nearly all the money was gone he'd wired tens of millions to con men promising risk-free returns The trader who spoofed the world's biggest market got taken by the world's oldest scam The judge gave him no prison time, one year home confinement at his parents' house // JPMorgan paid $920 million in fines for doing what Sarao did from a bedroom Same spoofing, precious metals and Treasuries, for years It took the feds five years to find one guy spoofing from Hounslow On Polymarket his wallet would've been public from the first order Follow & watch 24 minute clip below from Bloomberg's full documentary on how one bedroom trader broke the world's biggest market ↓

A trader crashed the Dow from his parents' bedroom, the market lost $1 trillion in minutes May 6, 2010, Navinder Sarao is sitting in his childhood room in Hounslow, west London He traded E-mini S&P 500 futures on the CME, placing hundreds of large sell orders he never intended to fill Cancel, replace, cancel, replace before anyone could execute That's spoofing That afternoon the Dow dropped 998 points, $1 trillion in market value disappeared The DOJ charged him for it, economists still argue whether he caused it or just lit the fuse Sarao made $879,018 that day, over six years roughly $50 million total He never moved out Five years later he was arrested at his parents' front door, faced up to 380 years in prison Nearly all the money was gone he'd wired tens of millions to con men promising risk-free returns The trader who spoofed the world's biggest market got taken by the world's oldest scam The judge gave him no prison time, one year home confinement at his parents' house // JPMorgan paid $920 million in fines for doing what Sarao did from a bedroom Same spoofing, precious metals and Treasuries, for years It took the feds five years to find one guy spoofing from Hounslow On Polymarket his wallet would've been public from the first order Follow & watch 24 minute clip below from Bloomberg's full documentary on how one bedroom trader broke the world's biggest market ↓

Сarm1ne

1,455,694 次观看 • 3 个月前

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 次观看 • 6 个月前

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it

self.dll

803,358 次观看 • 3 个月前

As many of you know, MY Home Sayuk in Tellapur has received its Occupancy Certificate (OC). Registrations and the resale market is expected to open over the next two weeks. We currently have an inventory of around 30 resale apartments (2, 2.5, and 3 BHK). Interested buyers can fill out this form: Owners who wish to sell through us can use this form: While Sayuk is a large and relatively dense project, it still offers a decent amount of open space. One of its standout features is that almost every apartment enjoys an uninterrupted view. Overall, it is still a decent project from one of Hyderabad's most trusted builders. Like most premium townships, it features a 1 lakh sq. ft. clubhouse, although I do wish it had been a bit larger. In terms of connectivity, the project is located less than 7 km (around 20 minutes) from Wipro Circle and about 13 km (around 40 minutes) from HKC Knowledge City.

As many of you know, MY Home Sayuk in Tellapur has received its Occupancy Certificate (OC). Registrations and the resale market is expected to open over the next two weeks. We currently have an inventory of around 30 resale apartments (2, 2.5, and 3 BHK). Interested buyers can fill out this form: Owners who wish to sell through us can use this form: While Sayuk is a large and relatively dense project, it still offers a decent amount of open space. One of its standout features is that almost every apartment enjoys an uninterrupted view. Overall, it is still a decent project from one of Hyderabad's most trusted builders. Like most premium townships, it features a 1 lakh sq. ft. clubhouse, although I do wish it had been a bit larger. In terms of connectivity, the project is located less than 7 km (around 20 minutes) from Wipro Circle and about 13 km (around 40 minutes) from HKC Knowledge City.

Satish Reddy | Hyderabad Real Estate & Infra

764,200 次观看 • 19 天前

Just leaked Polymarket and Binance Arbitrage Strategy Not hype, a real mechanism that bots are using to generate serious daily profits An arbitrage angle almost nobody discusses The window lasts only seconds The impact is huge All you need: Open API + ClawdBot Let’s break it down Open BTC spot on Binance with a 1-second timeframe At the same time, monitor the 5-minute BTC markets on Polymarket You’ll start seeing what regular traders miss When BTC makes a sharp impulse move on Binance, Polymarket doesn’t have time to adjust instantly There’s a short delay For a brief moment, spot has already broken structure but the 5-minute UP/DOWN market is still hovering around 0.45–0.55 like nothing happened Why does this occur Order book inertia Human reaction time Interface latency That micro-gap is the edge By the time a manual trader recognizes the move, clicks, signs, and confirms the trade the odds may already be at 0.75 Bots don’t compete on direction They compete on timing ClawdBots and similar systems stream Binance tick data in real time detect micro-impulses on the 1-second level and execute on Polymarket while pricing still reflects the previous state Example → Some bots structure entries on both sides keeping total exposure under $1 to cap downside if volatility snaps back Closer to expiry, they rebalance toward the dominant move as probability converges toward the final outcome Across thousands of cycles milliseconds compound into serious returns Manual traders compete on opinions Automated systems compete on speed Copytrade →

Just leaked Polymarket and Binance Arbitrage Strategy Not hype, a real mechanism that bots are using to generate serious daily profits An arbitrage angle almost nobody discusses The window lasts only seconds The impact is huge All you need: Open API + ClawdBot Let’s break it down Open BTC spot on Binance with a 1-second timeframe At the same time, monitor the 5-minute BTC markets on Polymarket You’ll start seeing what regular traders miss When BTC makes a sharp impulse move on Binance, Polymarket doesn’t have time to adjust instantly There’s a short delay For a brief moment, spot has already broken structure but the 5-minute UP/DOWN market is still hovering around 0.45–0.55 like nothing happened Why does this occur Order book inertia Human reaction time Interface latency That micro-gap is the edge By the time a manual trader recognizes the move, clicks, signs, and confirms the trade the odds may already be at 0.75 Bots don’t compete on direction They compete on timing ClawdBots and similar systems stream Binance tick data in real time detect micro-impulses on the 1-second level and execute on Polymarket while pricing still reflects the previous state Example → Some bots structure entries on both sides keeping total exposure under $1 to cap downside if volatility snaps back Closer to expiry, they rebalance toward the dominant move as probability converges toward the final outcome Across thousands of cycles milliseconds compound into serious returns Manual traders compete on opinions Automated systems compete on speed Copytrade →

winkle.

35,747 次观看 • 4 个月前

💛 ทุกวินาทีในวิดีโอนี้…คือความตั้งใจที่เราอยากมอบให้ทุกคนได้สัมผัส JANUA LIMITED BOX SET ตัวเต็ม พร้อมแล้วสำหรับทุกคนที่รอคอย 💛 เตรียมตัวให้พร้อม! พบกับการเปิดขายในวันที่ 3 พฤศจิกายน 2568 เพราะ “เซอร์ไพรส์ในกล่อง” คุ้มค่าแก่การรอคอยมากจริง ๆ ✨ ⸻ หมายเหตุ : 1.รายละเอียดสินค้าภายในกล่อง Mine Wish Limited Edition 50ml – 1 ชิ้น มูลค่า 490.- Mine Wish Festive Design 30ml – 1 ชิ้น มูลค่า 290.- Mine Wish Festive Design 30ml – 1 ชิ้น มูลค่า 290.- Dreamy Cloud Festive Design 30ml – 1 ชิ้น มูลค่า 290.- Kiss Me More Festive Design 30ml – 1 ชิ้น มูลค่า 290.- Passion Love Festive Design 30ml – 1 ชิ้น มูลค่า 290.- Juicy Mallow New Collection 15ml – 1 ชิ้น มูลค่า 219.- Cotton Cloud New Collection 15ml – 1 ชิ้น มูลค่า 219.- Sugar Bunny New Collection 15ml – 1 ชิ้น มูลค่า 219.- Memory of Sunrise The Exclusive Comeback 30ml – 1 ชิ้น มูลค่า 239.- 2. Unreleased Postcard จำนวน 2 รูป โดยมีรายละเอียดดังนี้ Unreleased Fix Card 1 Unreleased Random Card 1 (สุ่มจากจำนวนทั้งหมด 2 รูป) ระยะเวลาร่วมกิจกรรม: 3 – 10 พฤศจิกายน 2568 ประกาศผลผู้โชคดี: 15 พฤศจิกายน 2568 เริ่มจัดส่งสินค้า ตั้งแต่วันที่ 30 พฤศจิกายน 2568 เป็นต้นไป ⸻ กติกาการร่วมกิจกรรม “WE MAKE THE PHENOMENON – JANUA X RENJUN” CAMPAIGN 2 : JANUA LIMITED BOX SET 📌 รายละเอียดและกติกาแคมเปญ 1. การได้รับสิทธิ์ลุ้นที่นั่ง ทุกการซื้อ JANUA LIMITED BOX SET ราคา 1,990 บาท / 1 กล่อง = 5 สิทธิ์ (ปรับเพิ่มจากเดิม 1 กล่อง = 1 สิทธิ์) สินค้ามีจำนวนจำกัดเท่านั้น ราคานี้ยังไม่รวมค่าจัดส่ง การลุ้นสิทธิ์ขึ้นอยู่กับจำนวนสิทธิ์ที่ได้รับ ไม่ได้พิจารณาจากยอดซื้อมากที่สุด ไม่จำกัดจำนวนการสั่งซื้อต่อคน และไม่สามารถยกเลิกคำสั่งซื้อได้ทุกกรณี ⸻ 2. ระยะเวลาแคมเปญ สามารถสั่งซื้อสินค้าได้ตั้งแต่ วันที่ 3 พฤศจิกายน 2568 – วันที่ 10 พฤศจิกายน 2568 เวลา 23:59 น. คำสั่งซื้อที่อยู่ภายในช่วงเวลาดังกล่าวเท่านั้นที่จะได้รับสิทธิ์ลุ้น เพื่อลุ้นสิทธิ์ที่นั่งโซนหมายเลข 001–250 หมายเหตุเพิ่มเติม: สินค้าจะถูกวางจำหน่ายจนกว่าสินค้าจะหมด แต่สิทธิ์ในการ “ลุ้นที่นั่งเข้าร่วมอีเวนต์” จะนับเฉพาะคำสั่งซื้อที่เกิดขึ้นในช่วงวันที่ 3 – 10 พฤศจิกายน 2568 เวลา 23:59 น. เท่านั้น ⸻ 3. ช่องทางการสั่งซื้อ สั่งซื้อได้ผ่าน 2 ช่องทางเท่านั้น 1. LINE MY SHOP : 2. DM Instagram : janua_thailand (สงวนสิทธิ์สำหรับต่างชาติเท่านั้น) 👉 วิธีชำระเงินที่เข้าร่วมรายการสำหรับ Line My Shop ช่องทางการชำระเงิน 1. PromptPay QR: ลูกค้าสามารถสแกน QR Code เพื่อชำระเงินได้ 2. Mobile Banking: รองรับการชำระผ่านแอปพลิเคชันธนาคาร เช่น K PLUS และ SCB Easy 3. LINE Pay : 3.1 e-Wallet: ชำระเงินผ่านกระเป๋าเงินอิเล็กทรอนิกส์ของ LINE 3.2 บัตรเครดิต/เดบิต: สามารถผูกบัตร Visa, Mastercard, JCB และบัตรเครือข่ายไทยที่รองรับ 👉 วิธีชำระเงินที่เข้าร่วมรายการสำหรับ DM Instagram : janua_thailand • ชำระตรงผ่านเลขที่บัญชีบริษัทเท่านั้น 👉 สถานะคำสั่งซื้อ • จะพิจารณาเฉพาะคำสั่งซื้อที่มี หมายเลขคำสั่งซื้อ ขึ้นโชว์เท่านั้น ⸻ 4. ชื่อผู้รับสินค้า ชื่อ–นามสกุลผู้รับสินค้าต้องตรงกับชื่อจริงในบัตรประชาชนหรือพาสปอร์ต เพื่อใช้ยืนยันสิทธิ์เข้าร่วมกิจกรรม ที่อยู่ในการจัดส่งสินค้าไม่จำเป็นต้องตรงกับบัตรประชาชนหรือพาสปอร์ต ⸻ 5. ระยะเวลาและการจัดส่งสินค้า การจัดส่ง JANUA LIMITED BOX SET จะเริ่มตั้งแต่วันที่ 30 พฤศจิกายน 2568 เป็นต้นไป โดยจะจัดส่งตามลำดับคิวของคำสั่งซื้อที่เข้ามาก่อน–หลัง เพื่อให้ทุกกล่องถูกจัดส่งอย่างครบถ้วนและปลอดภัยที่สุด ⸻ 6. ระบบบันทึกสิทธิ์และการตรวจสอบ สิทธิ์ของผู้สั่งซื้อจะถูกบันทึกโดยอัตโนมัติ ไม่ต้องลงทะเบียนเพิ่มเติม สามารถตรวจสอบจำนวนสิทธิ์ได้หลังคำสั่งซื้อสำเร็จภายใน 2 วัน ผ่านทางเว็บไซต์ 👉 วิธีตรวจสอบสิทธิ์: 1. เข้าเว็บไซต์ 2. กรอกเบอร์โทรศัพท์ที่ใช้ในการสั่งซื้อสินค้า (ต้องเป็นเบอร์เดียวกับในที่อยู่จัดส่ง Box Set) 3. ระบบจะแสดงข้อมูล ชื่อ, ที่อยู่, และจำนวนสิทธิ์ที่ได้รับทันที ⸻ 7. วันที่ประกาศผลผู้โชคดี วันที่ 15 พฤศจิกายน 2568 ผู้โชคดีจาก Campaign 2 จะได้รับสิทธิ์ที่นั่งในโซนหมายเลข 001–250 โดยจะประกาศผ่านทาง เว็บไซต์ X : 𝐉𝐀𝐍𝐔𝐀 Instagram : janua_thailand ⸻ 8. การยืนยันสิทธิ์ ผู้ได้รับสิทธิ์ต้องยืนยันสิทธิ์ของตน ผ่านทาง LINE Official: Janua ภายในวันที่ 15 พฤศจิกายน – 21 พฤศจิกายน 2568 หากไม่ยืนยันสิทธิ์ภายในเวลาที่กำหนด จะถือว่าสละสิทธิ์โดยอัตโนมัติ และทางแบรนด์จะประกาศรายชื่อผู้โชคดีสำรองขึ้นมาแทนในวันที่ 22 พฤศจิกายน 2568 ⸻ 9. หลักฐานที่ต้องใช้ในวันรายงานตัว ผู้ได้รับสิทธิ์เข้าร่วมอีเวนต์ ต้องนำเอกสารต่อไปนี้มาแสดงเพื่อยืนยันตัวตน : 1. ใบเสร็จการสั่งซื้อสินค้า (ฉบับพิมพ์จากระบบออนไลน์) 2. บัตรประชาชน หรือพาสปอร์ตตัวจริง ที่ตรงกับข้อมูลการลงทะเบียน ⸻ 10. จำนวนสิทธิ์ต่อผู้เข้าร่วม 1. จำกัดสิทธิ์ผู้โชคดี 1 คนต่อ 1 หมายเลขบัตรประชาชนหรือพาสปอร์ตเท่านั้น ไม่สามารถโอนสิทธิ์ให้ผู้อื่น หรือใช้หมายเลขเดียวกันลงทะเบียนซ้ำเพื่อรับสิทธิ์มากกว่า 1 ที่นั่งได้ 2. หากผู้ได้รับสิทธิ์ได้ที่นั่งทั้งใน Campaign 1 และ Campaign 2 จำเป็นต้องสละสิทธิ์ใดสิทธิ์หนึ่ง โดยแจ้งความประสงค์มาที่ LINE Official: Janua ก่อนวันที่ 21 พฤศจิกายน 2568 และทางแบรนด์จะประกาศผู้โชคดีสำรองขึ้นมาแทนในวันที่ 22 พฤศจิกายน 2568 ⸻ 11. เงื่อนไขการยกเลิกและคืนเงิน • ไม่สามารถยกเลิกคำสั่งซื้อหรือขอคืนเงินได้ในทุกกรณี ยกเว้นกรณีที่สินค้าเกิดความเสียหายจากการขนส่ง ซึ่งหากสินค้าเกิดความเสียหายจากขนส่ง ทางแบรนด์จะจัดส่งสินค้าชิ้นใหม่ให้ โดยไม่ให้ยกเลิกคำสั่งซื้อในทุกกรณี • การพิจารณาการคืนสินค้าจะเป็นไปตามเงื่อนไขของแบรนด์เท่านั้น ⸻ 12. การคุ้มครองข้อมูลส่วนบุคคล (PDPA) ข้อมูลส่วนบุคคลของผู้เข้าร่วมกิจกรรม เช่น ชื่อ–นามสกุล หมายเลขโทรศัพท์ และบัตรประชาชนหรือพาสปอร์ต จะถูกเก็บรักษาอย่างปลอดภัย และใช้เพื่อการยืนยันสิทธิ์เท่านั้น โดยจะไม่ถูกเปิดเผยหรือใช้ในวัตถุประสงค์อื่น ⸻ 13. ข้อสงวนสิทธิ์ของแบรนด์ แบรนด์ JANUA ขอสงวนสิทธิ์ในการเปลี่ยนแปลงเงื่อนไข รายละเอียดกิจกรรม หรือกำหนดการต่าง ๆ โดยไม่ต้องแจ้งให้ทราบล่วงหน้า หากเกิดเหตุสุดวิสัยหรือเหตุจำเป็นทางเทคนิค ช่องทางติดต่อสอบถามเพิ่มเติม หากมีข้อสงสัยเกี่ยวกับการสั่งซื้อหรือการร่วมกิจกรรม สามารถติดต่อได้ที่ 📩 LINE Official: Janua 🌐 เว็บไซต์: --------------------------- 💛 Every second in this video represents our passion that we wish everyone could feel. JANUA LIMITED BOX SET (Full Version) is now finally ready for everyone who has been waiting 💛 Get yourself ready! The official sale begins on November 3, 2025. Because the “surprise inside the box” is truly worth the wait. ✨ ⸻ Remarks : 1.Product Details Inside the Box • Mine Wish Limited Edition 50ml – 1 pc (Value: 490 THB) • Mine Wish Festive Design 30ml – 1 pc (Value: 290 THB) • Mine Wish Festive Design 30ml – 1 pc (Value: 290 THB) • Dreamy Cloud Festive Design 30ml – 1 pc (Value: 290 THB) • Kiss Me More Festive Design 30ml – 1 pc (Value: 290 THB) • Passion Love Festive Design 30ml – 1 pc (Value: 290 THB) • Juicy Mallow New Collection 15ml – 1 pc (Value: 219 THB) • Cotton Cloud New Collection 15ml – 1 pc (Value: 219 THB) • Sugar Bunny New Collection 15ml – 1 pc (Value: 219 THB) • Memory of Sunrise The Exclusive Comeback 30ml – 1 pc (Value: 239 THB) 2.Unreleased Postcards (2 pieces) as follows: • Unreleased Fixed Card (1 piece) • Unreleased Random Card (1 piece, randomly selected from a total of 2 designs) ⸻ Campaign Duration : November 3 – 10, 2025 Winner Announcement : November 15, 2025 Shipping Start Date : From November 30, 2025 onward ⸻ Campaign Rules and Conditions “WE MAKE THE PHENOMENON – JANUA X RENJUN” CAMPAIGN 2 : JANUA LIMITED BOX SET ⸻ 📌 Campaign Details and Rules 1. Lucky Draw Eligibility Every purchase of JANUA LIMITED BOX SET (1,990 THB per box) = 5 Lucky Draw Entries (Increased from the previous condition of 1 box = 1 entry) The amount of product is limited quantities. This price does not include shipping fees. The number of entries will determine your lucky draw chances. It is not based on the highest total purchase amount. There is no purchase limit per person, and order cancellations are not allowed under any circumstances. ⸻ 2. Campaign Period Customers can place their orders from November 3, 2025 – November 10, 2025 (until 23:59). Only orders placed within this period will be eligible for the lucky draw for seat numbers 001–250. Additional Note: Products will remain available until sold out. However, eligibility for the “Lucky Draw to join the event” will apply only to orders placed between November 3 – 10, 2025 (until 23:59). ⸻ 3. Sales Channels Available through 2 official channels only: 1. LINE MY SHOP: 2. Instagram DM: janua_thailand (for international customers only) 👉 Payment Methods for LINE MY SHOP: 1. PromptPay QR: Customers can scan the QR code to make payment. 2. Mobile Banking: Supported through major Thai bank applications such as K PLUS and SCB Easy. 3. LINE Pay 3.1 e-Wallet: Payment via LINE electronic wallet. 3.2 Credit/Debit Card: Supports Visa, Mastercard, JCB, and Thai-issued cards. 👉 Payment Method for Instagram DM (Janua_thailand): • Direct bank transfer to the official company account only. 👉 Order Status: Only orders that display an “order number” will be eligible for participation. ⸻ 4. Recipient Name The recipient’s full name must match the official name on their National ID or Passport for event verification purposes. The shipping address does not need to match the identification document. ⸻ 5. Shipping Schedule Shipment of JANUA LIMITED BOX SET will begin from November 30, 2025 onward, following the order queue chronologically (first come, first served) to ensure that every box is carefully and completely delivered. ⸻ 6. Entry Recording and Verification All purchase entries will be automatically recorded — no additional registration is required. Customers can verify their total entries within 2 days after completing their order via the website 👉 How to check your entries: 1. Visit 2. Enter the phone number used in your order (must be the same as the shipping address). 3. The system will display your name, address, and total number of entries. ⸻ 7. Winner Announcement November 15, 2025 Winners from Campaign 2 will receive seats in Zone Numbers 001–250. The announcement will be made through the following official channels: • Website: • X (Twitter): 𝐉𝐀𝐍𝐔𝐀 • Instagram: janua_thailand ⸻ 8. Confirmation of Rights Winners must confirm their participation via LINE Official: Janua between November 15 – 21, 2025. If the confirmation is not submitted within the specified period, the right to participate will be automatically forfeited. Replacement winners will be announced on November 22, 2025. ⸻ 9. Required Documents on the Event Day Winners must present the following documents for identity verification: • Printed purchase receipt (official online version) • Original National ID card or Passport that matches the registration details ⸻ 10. Number of Seats per Participant 1. Each winner is entitled to only 1 seat per National ID or Passport. Rights cannot be transferred or duplicated for multiple entries using the same ID. 2. If a winner receives seats in both Campaign 1 and Campaign 2, they must choose one campaign to attend and notify LINE Official: Janua before November 21, 2025. Replacement winners will be announced on November 22, 2025. ⸻ 11. Cancellation and Refund Policy • Orders cannot be cancelled or refunded under any circumstances, except in the case of product damage during shipment. If damage occurs during delivery, the brand will resend a new product, but order cancellations will still not be accepted in any case. • All product return evaluations will strictly follow the brand’s policy. ⸻ 12. Personal Data Protection (PDPA) Personal information of participants, including full name, phone number, and national ID or passport number, will be securely stored and used solely for verification purposes. No personal data will be disclosed or used for any other purpose. ⸻ 13. Brand Reservation of Rights JANUA reserves the right to amend campaign conditions, details, or schedules without prior notice in the event of unavoidable circumstances or technical issues. ⸻ For Inquiries or Further Information If you have any questions regarding your order or participation, please contact: 📩 LINE Official: Janua 🌐 Website: #JANUAXRENJUN

𝐉𝐀𝐍𝐔𝐀

379,455 次观看 • 8 个月前

$RIME (NASDAQ) — WON ! 3 major enterprise wins in 10× increase vs pilot, to raise lane density, route frequency, and fleet utilization (reducing empty miles). (GlobeNewswire) Growth proof: Q3 revenue was about $1.7M, up +1,273% YoY. (Yahoo Finance) Run-rate signal: SemiCab cited ARR > $8M and forward-looking ARR ~$15M. (Nasdaq) Share base: about 2.72M shares outstanding. (Yahoo Finance) Price target (scenario-based): If the market values $15M ARR at 1× / 2× / 4×, implied equity value is $15M / $30M / $60M, or roughly $5.50 / $11 / $22 per share (2.72M shares). A $30 scenario requires higher ARR (e.g., $20–$30M) and/or higher multiples—high risk, but mathematically possible if expansions keep compounding. (Nasdaq) High volatility microcap. DYOR.

$RIME (NASDAQ) — WON ! 3 major enterprise wins in 10× increase vs pilot, to raise lane density, route frequency, and fleet utilization (reducing empty miles). (GlobeNewswire) Growth proof: Q3 revenue was about $1.7M, up +1,273% YoY. (Yahoo Finance) Run-rate signal: SemiCab cited ARR > $8M and forward-looking ARR ~$15M. (Nasdaq) Share base: about 2.72M shares outstanding. (Yahoo Finance) Price target (scenario-based): If the market values $15M ARR at 1× / 2× / 4×, implied equity value is $15M / $30M / $60M, or roughly $5.50 / $11 / $22 per share (2.72M shares). A $30 scenario requires higher ARR (e.g., $20–$30M) and/or higher multiples—high risk, but mathematically possible if expansions keep compounding. (Nasdaq) High volatility microcap. DYOR.

Victor Renard

12,859,916 次观看 • 5 个月前

What Makes an A+++ Setup (According to a $291K Trader) A setup is the specific market condition where all your criteria align for a high-probability trade entry. Most traders don't understand the criteria that makes a solid entry. They take every setup that looks "good enough" — and end up with 1:2 or 1:3 risk-to-reward ratios, grinding for small wins. Here's the difference: An A+++ setup allowed my student Said to make $86,000 in one day from just 3 trades (with 1:18, 1:7, and 1:10 R/R). And $291k over the last 1.5 years. If there’s a mediocre setup, he won’t take it. Some weeks he only trades twice because he's waiting for perfection. In the 2-minute clip below, my student Said walks through the 5 elements that must align for an A+++ setup: 1) Inverse Fair Value Gap — An imbalance price needs to fill 2) Inducement — Liquidity sweep that triggers early traders 3) Imbalance — Gap in price delivery that draws price back 4) Protected Level — Previous inducement + break of structure creates an internal floor/ceiling 5) Break of Structure — Confirmation that one side is in control Said also looks for setups where you have TWO protected levels, not just one. This gives him the confidence to enter at the end of the fair value gap without waiting for additional confirmation. Stop loss goes just below the protected level — tight risk, massive reward potential. — This is just scratching the surface of what Said shared. In the full 1-hour interview, we also dove into: • The exact 3 trades that made him $86K in a single day (with timestamped chart breakdowns) • How he combined two different strategies into one profitable system • Why he still backtests 1-1.5 hours daily even after making $100K/month Just comment "INTERVIEW" and I'll DM you the full interview in the next few minutes.

What Makes an A+++ Setup (According to a $291K Trader) A setup is the specific market condition where all your criteria align for a high-probability trade entry. Most traders don't understand the criteria that makes a solid entry. They take every setup that looks "good enough" — and end up with 1:2 or 1:3 risk-to-reward ratios, grinding for small wins. Here's the difference: An A+++ setup allowed my student Said to make $86,000 in one day from just 3 trades (with 1:18, 1:7, and 1:10 R/R). And $291k over the last 1.5 years. If there’s a mediocre setup, he won’t take it. Some weeks he only trades twice because he's waiting for perfection. In the 2-minute clip below, my student Said walks through the 5 elements that must align for an A+++ setup: 1) Inverse Fair Value Gap — An imbalance price needs to fill 2) Inducement — Liquidity sweep that triggers early traders 3) Imbalance — Gap in price delivery that draws price back 4) Protected Level — Previous inducement + break of structure creates an internal floor/ceiling 5) Break of Structure — Confirmation that one side is in control Said also looks for setups where you have TWO protected levels, not just one. This gives him the confidence to enter at the end of the fair value gap without waiting for additional confirmation. Stop loss goes just below the protected level — tight risk, massive reward potential. — This is just scratching the surface of what Said shared. In the full 1-hour interview, we also dove into: • The exact 3 trades that made him $86K in a single day (with timestamped chart breakdowns) • How he combined two different strategies into one profitable system • Why he still backtests 1-1.5 hours daily even after making $100K/month Just comment "INTERVIEW" and I'll DM you the full interview in the next few minutes.

The Trading Geek (Brad Goh)

15,338 次观看 • 6 个月前

Cancelé $2.000/mes en suscripciones de Trading Reemplacé casi todo por repositorios Open-Source 100% gratis Este es el stack completo: 1. TradingView Pro ($30/mes) → lightweight-charts 14K estrellas. Creado por el propio equipo de TradingView. 45KB. Gratis. > 2. Bloomberg Terminal ($2.000/mes) → fredapi + Claude Acceso a todos los datasets macroeconómicos publicados por la Fed mediante API gratuita > 3. Plataforma de backtesting ($100/mes) → prediction-market-backtesting Fork de NautilusTrader con adaptadores para Polymarket y Kalshi > 4. Ingeniería inversa de estrategias → polybot Infraestructura de ejecución y datos de mercado con paper trading. Kafka, ClickHouse y Grafana como pipeline completo de analíticas > 5. Paper trading para agentes IA → polymarket-paper-trader Order books reales, modelo exacto de fees y tracking de slippage tu agente de Claude recibe $10K ficticios para operar > 6. Ahorro de tokens → rtk Proxy CLI que reduce entre un 60-90% el consumo de tokens en Claude Code escrito en Rust, binario único y compatible con 10 herramientas IA > 7. Claude Code ($200/mes) → goose 35K estrellas. Desarrollado por Block (Jack Dorsey). Escrito en Rust. Funciona con cualquier LLM y ofrece un loop completo de agentes IA > Antes: +$2.600/mes Ahora: prácticamente $0 Guárdate este post, me lo agradecerás. 🔖

Cancelé $2.000/mes en suscripciones de Trading Reemplacé casi todo por repositorios Open-Source 100% gratis Este es el stack completo: 1. TradingView Pro ($30/mes) → lightweight-charts 14K estrellas. Creado por el propio equipo de TradingView. 45KB. Gratis. > 2. Bloomberg Terminal ($2.000/mes) → fredapi + Claude Acceso a todos los datasets macroeconómicos publicados por la Fed mediante API gratuita > 3. Plataforma de backtesting ($100/mes) → prediction-market-backtesting Fork de NautilusTrader con adaptadores para Polymarket y Kalshi > 4. Ingeniería inversa de estrategias → polybot Infraestructura de ejecución y datos de mercado con paper trading. Kafka, ClickHouse y Grafana como pipeline completo de analíticas > 5. Paper trading para agentes IA → polymarket-paper-trader Order books reales, modelo exacto de fees y tracking de slippage tu agente de Claude recibe $10K ficticios para operar > 6. Ahorro de tokens → rtk Proxy CLI que reduce entre un 60-90% el consumo de tokens en Claude Code escrito en Rust, binario único y compatible con 10 herramientas IA > 7. Claude Code ($200/mes) → goose 35K estrellas. Desarrollado por Block (Jack Dorsey). Escrito en Rust. Funciona con cualquier LLM y ofrece un loop completo de agentes IA > Antes: +$2.600/mes Ahora: prácticamente $0 Guárdate este post, me lo agradecerás. 🔖

gus

408,630 次观看 • 2 个月前

MUST-WATCH: Inside Databento with Christina Qi—from MIT dorm room HFT shop to taking on the data incumbents Christina Qi (Christina Qi) went from running a high-frequency trading fund out of her dorm room at MIT to building Databento (Databento), a market data platform growing ~5x YoY with 16,000+ customers that's landed 8 of the 10 largest options market makers & the biggest AI companies in the world. 50-75 new customers sign up daily with their own credit cards. "The biggest AI company in the world sent us an email: 'We want to buy your most expensive data plan'—and we were like, what?" We cover: - Why the "smart MIT founders" pitch failed when launching a hedge fund & what actually worked with investors - The difference between raising venture capital vs. hedge fund capital (they raised both) - How they compete at 1/1,000th the budget of incumbents by selling bottom-up, not top-down - Why member-of-technical-staff employees have more buying power than anyone realizes - The strategic decision to stay one layer upstream from Bloomberg—not compete directly - Why HFT strategies aren't scalable & the data licensing nightmare that plagued their fund - How to know when it's time to shut down (hint: it's not about performance) - Her mom texted "go beta bento"— even family doesn't always get what you do Thank you Christina Qi for coming on the pod! 00:00 Intro 01:36 Can you start a hedge fund in college? 02:16 Dorm-room origin: MIT/Harvard HFT startup story begins 03:18 Early sacrifices, honeymoon phase, building fast together relentlessly 04:28 Then vs now: launching funds in crowded quant landscape 07:50 Fundraising basics: allocators, fees, lockups, track record 11:31 Why raise VC: real tech beyond strategies only 13:21 2025 reality: easier tools, tougher alpha generation 16:46 Blow-ups and risk management: leverage, slippage, TCA lessons 17:22 Why Databento: licensing solved, API-first market data pipeline 22:06 Upstream of terminals: enable analytics, AI, backtesting workflows 24:42 PLG beats sales: bottom-up, self-serve enterprise adoption 28:32 Case study: AI staffer buys top plan instantly 30:06 AI in finance needs clean tick data pipelines 32:34 Bloomberg dominance, network effects, Refinitiv comparison realities 35:56 Users and roadmap: upvotes, feedback prioritize datasets 39:14 Advance commitments fund new exchange integrations, secure adoption 41:55 Market microstructure matters: better order-book signals, execution 44:13 Career advice: data engineering, portfolio construction, Python 48:06 Macro regimes shift fundraising outcomes for founders 49:46 Personal barometer: pursue work that energizes you 51:26 Closing thoughts and thanks

MUST-WATCH: Inside Databento with Christina Qi—from MIT dorm room HFT shop to taking on the data incumbents Christina Qi (Christina Qi) went from running a high-frequency trading fund out of her dorm room at MIT to building Databento (Databento), a market data platform growing ~5x YoY with 16,000+ customers that's landed 8 of the 10 largest options market makers & the biggest AI companies in the world. 50-75 new customers sign up daily with their own credit cards. "The biggest AI company in the world sent us an email: 'We want to buy your most expensive data plan'—and we were like, what?" We cover: - Why the "smart MIT founders" pitch failed when launching a hedge fund & what actually worked with investors - The difference between raising venture capital vs. hedge fund capital (they raised both) - How they compete at 1/1,000th the budget of incumbents by selling bottom-up, not top-down - Why member-of-technical-staff employees have more buying power than anyone realizes - The strategic decision to stay one layer upstream from Bloomberg—not compete directly - Why HFT strategies aren't scalable & the data licensing nightmare that plagued their fund - How to know when it's time to shut down (hint: it's not about performance) - Her mom texted "go beta bento"— even family doesn't always get what you do Thank you Christina Qi for coming on the pod! 00:00 Intro 01:36 Can you start a hedge fund in college? 02:16 Dorm-room origin: MIT/Harvard HFT startup story begins 03:18 Early sacrifices, honeymoon phase, building fast together relentlessly 04:28 Then vs now: launching funds in crowded quant landscape 07:50 Fundraising basics: allocators, fees, lockups, track record 11:31 Why raise VC: real tech beyond strategies only 13:21 2025 reality: easier tools, tougher alpha generation 16:46 Blow-ups and risk management: leverage, slippage, TCA lessons 17:22 Why Databento: licensing solved, API-first market data pipeline 22:06 Upstream of terminals: enable analytics, AI, backtesting workflows 24:42 PLG beats sales: bottom-up, self-serve enterprise adoption 28:32 Case study: AI staffer buys top plan instantly 30:06 AI in finance needs clean tick data pipelines 32:34 Bloomberg dominance, network effects, Refinitiv comparison realities 35:56 Users and roadmap: upvotes, feedback prioritize datasets 39:14 Advance commitments fund new exchange integrations, secure adoption 41:55 Market microstructure matters: better order-book signals, execution 44:13 Career advice: data engineering, portfolio construction, Python 48:06 Macro regimes shift fundraising outcomes for founders 49:46 Personal barometer: pursue work that energizes you 51:26 Closing thoughts and thanks

Ethan Kho

20,054 次观看 • 5 个月前

An Anthropic researcher sat next to me at Ritual Coffee in the Mission yesterday He glanced at my screen and saw the wallet tracker "Wait. Are you copytrading Polymarket wallets" I nodded. "How do you pick which ones. Most of them lose money" 87% of them. I told him that's what Claude found when it scanned 14,000 wallets. "You ran Claude on the whole chain" Yeah. 86 million trades. Every wallet. Every entry. Every exit. I asked Claude one thing. Which wallets win by category, not overall. It came back with three groups. Weather specialists. 85-94% win rate on meteorological markets. Bleed on everything else. Crypto-only. 88-96% on crypto. Lose on politics. Macro traders. 82-91% on Fed decisions and rate cuts. Dead on sports. "So you don't copy the wallet. You copy the category" Exactly. Retail mirrors the whole wallet. Smart money filters to the one category where they actually have edge. Skip the rest. He asked about speed. Profitable wallets enter 0-3 seconds after signal. Retail enters 12-18 seconds later. Same trade. Different fill. 7 cents of slippage per entry. Over 200 trades that's $1,400 gone just from being slow. "That's not intelligence. That's execution" Both. Then I showed him the third pattern. Capital velocity. Elite wallets recycle the same $500 fifty-one times a month. Retail recycles once. Same seed. 51x the work. He went quiet. Another fill landed on my screen. Weather market. +$47. Wallet for copytrading: "How long have you been running this" 11 weeks. Week 1-2. Manual. Caught 35% of trades. Lost 6 cents to slippage. +$3,100. Week 3-5. Loaded 6 wallets into Kreo. Category filter on. Priority Mode executing in the same Polygon block. Caught 78%. +$18,900. Week 6-8. Velocity filter. Only wallets recycling 40x+ monthly. +$31,400. Week 9-11. Full auto. Copying weather, crypto, macro. Trading Asia hours while I sleep. +$40,800. Total from $800. +$98,500. "What did you study" Nothing. My roommate did the first run in February and made $94K. I just copied him in April. Start in February. $94K. Start in April. $98K. Start in August. Maybe $55K. Not because the strategy stops. Because edge compresses when more people find it. He pulled out his phone and started typing. "Stanford emailed my roommate yesterday. Reconsidering his application" He didn't open it. PhD teaches you to research for 5 years. Claude taught him to find edge in one night. Wallets are on-chain. Data is public. The bottleneck was never analysis. It was category filtering and execution speed. Copytrade here: Full breakdown went up yesterday. Every wallet address. Every pattern. Every week. His manager DMed me this morning. "Any chance we can talk" I told him the article is the talk. Too late to gatekeep.

An Anthropic researcher sat next to me at Ritual Coffee in the Mission yesterday He glanced at my screen and saw the wallet tracker "Wait. Are you copytrading Polymarket wallets" I nodded. "How do you pick which ones. Most of them lose money" 87% of them. I told him that's what Claude found when it scanned 14,000 wallets. "You ran Claude on the whole chain" Yeah. 86 million trades. Every wallet. Every entry. Every exit. I asked Claude one thing. Which wallets win by category, not overall. It came back with three groups. Weather specialists. 85-94% win rate on meteorological markets. Bleed on everything else. Crypto-only. 88-96% on crypto. Lose on politics. Macro traders. 82-91% on Fed decisions and rate cuts. Dead on sports. "So you don't copy the wallet. You copy the category" Exactly. Retail mirrors the whole wallet. Smart money filters to the one category where they actually have edge. Skip the rest. He asked about speed. Profitable wallets enter 0-3 seconds after signal. Retail enters 12-18 seconds later. Same trade. Different fill. 7 cents of slippage per entry. Over 200 trades that's $1,400 gone just from being slow. "That's not intelligence. That's execution" Both. Then I showed him the third pattern. Capital velocity. Elite wallets recycle the same $500 fifty-one times a month. Retail recycles once. Same seed. 51x the work. He went quiet. Another fill landed on my screen. Weather market. +$47. Wallet for copytrading: "How long have you been running this" 11 weeks. Week 1-2. Manual. Caught 35% of trades. Lost 6 cents to slippage. +$3,100. Week 3-5. Loaded 6 wallets into Kreo. Category filter on. Priority Mode executing in the same Polygon block. Caught 78%. +$18,900. Week 6-8. Velocity filter. Only wallets recycling 40x+ monthly. +$31,400. Week 9-11. Full auto. Copying weather, crypto, macro. Trading Asia hours while I sleep. +$40,800. Total from $800. +$98,500. "What did you study" Nothing. My roommate did the first run in February and made $94K. I just copied him in April. Start in February. $94K. Start in April. $98K. Start in August. Maybe $55K. Not because the strategy stops. Because edge compresses when more people find it. He pulled out his phone and started typing. "Stanford emailed my roommate yesterday. Reconsidering his application" He didn't open it. PhD teaches you to research for 5 years. Claude taught him to find edge in one night. Wallets are on-chain. Data is public. The bottleneck was never analysis. It was category filtering and execution speed. Copytrade here: Full breakdown went up yesterday. Every wallet address. Every pattern. Every week. His manager DMed me this morning. "Any chance we can talk" I told him the article is the talk. Too late to gatekeep.

Lunar

32,816 次观看 • 3 个月前