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A CHINESE STUDENT CREATED A TRADING BOT THAT TURNED $0.90 INTO $408,000 IN 2 DAYS 🤯 The bot scanned decentralized exchanges for tiny price differences and executed trades in milliseconds, moving faster than any human trader possibly could. That's what makes on-chain arbitrage so interesting. In crypto markets, prices... across platforms don't always stay perfectly aligned, especially during volatile periods. Bots can exploit those gaps automatically, buying low on one exchange and selling higher on another almost instantly. The bigger story isn't only the profit. It's how software, automation, and blockchain infrastructure are creating entirely new forms of financial competition where speed, code, and execution matter more than human reaction time.show more

Crypto with Haris ₿

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18,235 views • 3 months ago •via X (Twitter)

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5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.

5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.

Recogard

14,162 views • 3 months ago

CryptoCopy beta is live! The solution allows you to trade on multiple exchanges at the same time. Over 20 top exchanges will be available in total. You can apply here. In the video, you can see an example of copying a trade from a #Bybit futures account to #Binance and #Bitget exchanges. In this example, it is clear how opening a trade on one exchange immediately executes the trade on the other exchanges! This is essential for diversifying your funds across different exchanges to reduce non-trading risks, improve execution, and enhance liquidity, especially when trading altcoins. Copying trades via CryptoCopy occurs at a speed of 30 milliseconds, faster than what it takes for exchanges to execute your market order!

CryptoCopy beta is live! The solution allows you to trade on multiple exchanges at the same time. Over 20 top exchanges will be available in total. You can apply here. In the video, you can see an example of copying a trade from a #Bybit futures account to #Binance and #Bitget exchanges. In this example, it is clear how opening a trade on one exchange immediately executes the trade on the other exchanges! This is essential for diversifying your funds across different exchanges to reduce non-trading risks, improve execution, and enhance liquidity, especially when trading altcoins. Copying trades via CryptoCopy occurs at a speed of 30 milliseconds, faster than what it takes for exchanges to execute your market order!

CryptoCopy

105,761 views • 2 years ago

this Chinese trader started with just $4… and reportedly grew it to $780,000 using AI on Polymarket. this trader on Polymarket with a bot on Claude Opus 4.7 arbitrages sports markets and has already earned $780,000 His profile 0xD9E0: How it’s work: > Fully automated system with no manual intervention. > Analyzes sports prediction markets (especially NBA on Polymarket). > Compares Polymarket prices with traditional sportsbook odds. > Converts odds into implied probabilities and detects mispricings. > Uses arbitrage by buying YES and NO when combined price is under $1. > Generates small but near-risk-free profits (around 1–2%) at high trading volume. AI bots are quietly turning prediction markets into a kind of “money printer.” They find tiny pricing mistakes and exploit them with low-risk, fast arbitrage trades. Each profit is small, but when scaled and repeated at high volume, those small edges can grow into large, even six-figure gains over time. copy him with me using the best tool:

AdiiX

1,642,911 views • 4 months ago

Polymarket added fees so most arbitrage bots died. Devs who spent months building strategies watched their edge disappear in one update. But a small group figured out how to stay profitable anyway. This wallet is making $27,000 every single day right now. $743,000 in 35 days. 31,566 predictions. Fully automated. And it is running the exact same strategy i broke down in my previous article. His wallet: < Here is exactly how it works and why fees didn't kill it: The bot trades crypto Up/Down markets across BTC, ETH, SOL and XRP simultaneously. Not randomly. With surgical precision on timing and entry price. Look at the realized moves: Bitcoin position turned $2,300 into $8,260. XRP position turned $10,105 into $22,100. Ethereum position turned $1,347 into $10,950. Those are not lucky trades. That is a system firing correctly at scale. The reason fees didn't destroy this bot is the same reason i explained before. Pure speed arbitrage bots died because their edge was margin - and fees ate the margin completely. This bot doesn't rely on tiny spread captures. It combines pair-sum arbitrage with precise entry timing to find windows where combined price is cheap enough that fees still leave meaningful profit on the table. The math only works at specific entry prices and specific timing windows. Most bots can't find those windows fast enough. This one can because the infrastructure is fast enough to compete. $27,000 per day from a strategy that survived the fee update while everyone else shut down. That is not luck. That is being technically ahead of the competition. The gap between bots that died and bots that kept printing was never the strategy. It was execution quality and infrastructure speed.

Polymarket added fees so most arbitrage bots died. Devs who spent months building strategies watched their edge disappear in one update. But a small group figured out how to stay profitable anyway. This wallet is making $27,000 every single day right now. $743,000 in 35 days. 31,566 predictions. Fully automated. And it is running the exact same strategy i broke down in my previous article. His wallet: < Here is exactly how it works and why fees didn't kill it: The bot trades crypto Up/Down markets across BTC, ETH, SOL and XRP simultaneously. Not randomly. With surgical precision on timing and entry price. Look at the realized moves: Bitcoin position turned $2,300 into $8,260. XRP position turned $10,105 into $22,100. Ethereum position turned $1,347 into $10,950. Those are not lucky trades. That is a system firing correctly at scale. The reason fees didn't destroy this bot is the same reason i explained before. Pure speed arbitrage bots died because their edge was margin - and fees ate the margin completely. This bot doesn't rely on tiny spread captures. It combines pair-sum arbitrage with precise entry timing to find windows where combined price is cheap enough that fees still leave meaningful profit on the table. The math only works at specific entry prices and specific timing windows. Most bots can't find those windows fast enough. This one can because the infrastructure is fast enough to compete. $27,000 per day from a strategy that survived the fee update while everyone else shut down. That is not luck. That is being technically ahead of the competition. The gap between bots that died and bots that kept printing was never the strategy. It was execution quality and infrastructure speed.

Punisher

34,222 views • 4 months ago

CHINESE ENGINEERS JUST WROTE CLAUDE SCRIPT AND TURNED $6.02 INTO $3.3 MILLION ON POLYMARKET Nobody tells you about them and you still think this is a person placing bets manually I guess. Let me disappoint you, this is a fully automated script built by Chinese engineers 100%. This is true. They called it PHANTOM X. It runs completely through Claude. Their account here: Result: $6.02 -> $3,354,000. Win rate 71%. Biggest win: $179,000 (single bet). I’m copying their trades here: (Just added their wallet to TG bot 0xee613b3fc183ee44f9da9c05f53e2da107e3debf, it's so easy) How the bot works: -> It simultaneously tracks thousands of sports markets on Polymarket and Kalshi. -> Finds discrepancies between the platforms. -> Enters positions faster than any human could imo. Just three strategies in one: -- Pairs Trading: the bot sees YES on the Rockets at $0.62 while NO is at $0.41. Total = $1.03 instead of $1.00. That’s a 3% risk-free profit. It enters automatically within milliseconds. -- Sentiment AI: scans Twitter (X) and news in real time. If something big breaks, it recalculates the probability in 2 seconds before the market reacts. -- Calendar + Volatility: 15–20 minutes before the game, volatility spikes. The bot takes positions early and closes after the first major move. Why sports is perfect? Sports O/U markets have clear paired contracts that should total exactly $1.00, but constant deviations create reliable arbitrage. This is exactly how [sovereign2013] built $3.35M. > A human physically cannot monitor 50+ markets at once, react in milliseconds, stay awake 24/7, avoid emotions after losses, and run Z-scores on 60 bars of data. > The bot does all of this in parallel without breaks. Manual trading is dying. The automation era has arrived. Start learning Claude now. If you’re interested in writing your own bot on Polymarket: Comment the word "BOT" Like and repost this post Follow me (so I can message you easly) And within 24 hours I will send you a full manual on how to build a bot that can earn $2,900+/month. Also SAVE this info and article.

CHINESE ENGINEERS JUST WROTE CLAUDE SCRIPT AND TURNED $6.02 INTO $3.3 MILLION ON POLYMARKET Nobody tells you about them and you still think this is a person placing bets manually I guess. Let me disappoint you, this is a fully automated script built by Chinese engineers 100%. This is true. They called it PHANTOM X. It runs completely through Claude. Their account here: Result: $6.02 -> $3,354,000. Win rate 71%. Biggest win: $179,000 (single bet). I’m copying their trades here: (Just added their wallet to TG bot 0xee613b3fc183ee44f9da9c05f53e2da107e3debf, it's so easy) How the bot works: -> It simultaneously tracks thousands of sports markets on Polymarket and Kalshi. -> Finds discrepancies between the platforms. -> Enters positions faster than any human could imo. Just three strategies in one: -- Pairs Trading: the bot sees YES on the Rockets at $0.62 while NO is at $0.41. Total = $1.03 instead of $1.00. That’s a 3% risk-free profit. It enters automatically within milliseconds. -- Sentiment AI: scans Twitter (X) and news in real time. If something big breaks, it recalculates the probability in 2 seconds before the market reacts. -- Calendar + Volatility: 15–20 minutes before the game, volatility spikes. The bot takes positions early and closes after the first major move. Why sports is perfect? Sports O/U markets have clear paired contracts that should total exactly $1.00, but constant deviations create reliable arbitrage. This is exactly how [sovereign2013] built $3.35M. > A human physically cannot monitor 50+ markets at once, react in milliseconds, stay awake 24/7, avoid emotions after losses, and run Z-scores on 60 bars of data. > The bot does all of this in parallel without breaks. Manual trading is dying. The automation era has arrived. Start learning Claude now. If you’re interested in writing your own bot on Polymarket: Comment the word "BOT" Like and repost this post Follow me (so I can message you easly) And within 24 hours I will send you a full manual on how to build a bot that can earn $2,900+/month. Also SAVE this info and article.

slash1s

16,145 views • 4 months ago

DROPPING EVERYTHING TO GO ALL-IN WITH CLAUDE Just asked him to: "Find the most non-obvious ways to profit on Polymarket that nobody knows much about." Results: Negative Risk and Multi-Outcome Arbitrage It explained, "If the collective implied probability across all outcomes sums to less than $1, you've locked in a risk-free profit." Then build a terminal that automatically finds and arbitrages it Clicking on execute arb and it works Only testing rn but made ~$1k already Scanned ~2K markets, fetched arbitrage and executed It's not even the bot or soft, it's an AI agent that evolves with each arbitrage it makes, learning to do it more effectively copytrade here: Will keep it running for now and will update you on what my results will be with it, so notifs on

DROPPING EVERYTHING TO GO ALL-IN WITH CLAUDE Just asked him to: "Find the most non-obvious ways to profit on Polymarket that nobody knows much about." Results: Negative Risk and Multi-Outcome Arbitrage It explained, "If the collective implied probability across all outcomes sums to less than $1, you've locked in a risk-free profit." Then build a terminal that automatically finds and arbitrages it Clicking on execute arb and it works Only testing rn but made ~$1k already Scanned ~2K markets, fetched arbitrage and executed It's not even the bot or soft, it's an AI agent that evolves with each arbitrage it makes, learning to do it more effectively copytrade here: Will keep it running for now and will update you on what my results will be with it, so notifs on

symbiote

24,529 views • 4 months ago

🚨 Imagine: buying at 48-68¢ and selling at 100¢. Again. And again. And again. Result: $80k+ in a week without a single emotion. Trader Hcrystallash just surpassed $106,324.71 in total lifetime profit, making over 10,605 automated predictions. It's not luck. It's structural alpha. He created a custom parser that feeds real-time market tick data into a probability matrix driven by 0xomega and Hilbert to mathematically estimate 5-minute noise. The strategy is based on a pure, clinical mean reversion system. No guesswork. Here's the exact logic the bot executes: ⚙️ Main Stack: VWAP + RSI(14) + ATR + Volume + MACD The bot intentionally avoids breakouts and ignores midband fluctuations. It operates strictly under the assumption that a low ATR is required to confirm price compression before any trading strategy can be validated. 🔴 Trigger for a short position (DOWN): • Price is covered by a perfectly flat VWAP • RSI(14) shows overbought conditions • Buying volume is decreasing • Confirmation: MACD divergence (price makes a higher high, MACD makes a lower high) 🟢 Trigger for a long position (UP): • Price is covered by the VWAP • RSI(14) shows oversold conditions • Weak selling volume (sellers are exhausted) • Confirmation: MACD divergence (price makes a lower low, MACD makes a higher low) ⚠️ Note about MACD: The bot is programmed to strictly ignore regular MACD crossovers. It trades only on divergences. Once these conditions are met, the parser feeds the data into the 0xomega and Hilbert models to calculate the true mathematical probability of mean reversion before executing the position. Look at the feed. They buy at 48-68 cents and wait for the price to stabilize at 100 cents. Over and over again. This isn't theory, it's real-time execution with confirmed results. Hcrystallash is making money, while most are overtrading on the noise. Copy trading here:

🚨 Imagine: buying at 48-68¢ and selling at 100¢. Again. And again. And again. Result: $80k+ in a week without a single emotion. Trader Hcrystallash just surpassed $106,324.71 in total lifetime profit, making over 10,605 automated predictions. It's not luck. It's structural alpha. He created a custom parser that feeds real-time market tick data into a probability matrix driven by 0xomega and Hilbert to mathematically estimate 5-minute noise. The strategy is based on a pure, clinical mean reversion system. No guesswork. Here's the exact logic the bot executes: ⚙️ Main Stack: VWAP + RSI(14) + ATR + Volume + MACD The bot intentionally avoids breakouts and ignores midband fluctuations. It operates strictly under the assumption that a low ATR is required to confirm price compression before any trading strategy can be validated. 🔴 Trigger for a short position (DOWN): • Price is covered by a perfectly flat VWAP • RSI(14) shows overbought conditions • Buying volume is decreasing • Confirmation: MACD divergence (price makes a higher high, MACD makes a lower high) 🟢 Trigger for a long position (UP): • Price is covered by the VWAP • RSI(14) shows oversold conditions • Weak selling volume (sellers are exhausted) • Confirmation: MACD divergence (price makes a lower low, MACD makes a higher low) ⚠️ Note about MACD: The bot is programmed to strictly ignore regular MACD crossovers. It trades only on divergences. Once these conditions are met, the parser feeds the data into the 0xomega and Hilbert models to calculate the true mathematical probability of mean reversion before executing the position. Look at the feed. They buy at 48-68 cents and wait for the price to stabilize at 100 cents. Over and over again. This isn't theory, it's real-time execution with confirmed results. Hcrystallash is making money, while most are overtrading on the noise. Copy trading here:

m|i|ster

69,926 views • 5 months ago

I gave Claude Opus 5 full access to my laptop and turned on bypass permission mode. Asked him tuild me a Polymarket arbitrage bot. With no complicated strategy. Just this: Only open a trade when YES + NO < $1. I put $100 into the account and let it run. 2 hours: +$78.40 5 hours: +$479 Current balance: $1,791.30 in just 24 hours. Total Claude usage: roughly 7.5M tokens. But here's the part I find interesting: The bot doesn't care if Bitcoin goes up or down. It cares when the market prices both outcomes incorrectly. A BTC Up/Down market has two contracts: YES or NO At settlement, exactly one pays $1. The other pays $0. So buying both should cost $1. But during fast market moves, the two orderbooks can temporarily drift apart. For example: YES = $0.48, NO = $0.49 Combined = $0.97 The bot buys both. You're paying 97 cents for a position that settles to $1. That's a 3-cent gross spread without needing to predict BTC direction. And this isn't some complicated quant strategy. It's basic arbitrage. The difficult part is capturing it. These gaps can disappear almost instantly. A few cents of edge can also disappear after fees, slippage, or a bad fill. So the bot doesn't blindly buy every time the equation looks good. It checks the available liquidity, estimates the actual executable price, accounts for costs, and only fires when the remaining edge is large enough. It also has to handle the ugly scenario: One leg fills. The other doesn't. That's where a theoretical arbitrage can turn into a very real directional position. This is why I care much more about execution than adding another indicator. A human can find one opportunity. A bot can monitor hundreds of markets continuously. A human needs to click. The bot can react immediately. The strategy itself is almost boring. That's exactly why I like it. The interesting part is turning a simple mathematical rule into software that can actually execute it reliably. I shared the exact build process and prompts in my last article. Leaving it below if you want to build your own. The future of trading might just be better execution. Think bout that...

I gave Claude Opus 5 full access to my laptop and turned on bypass permission mode. Asked him tuild me a Polymarket arbitrage bot. With no complicated strategy. Just this: Only open a trade when YES + NO < $1. I put $100 into the account and let it run. 2 hours: +$78.40 5 hours: +$479 Current balance: $1,791.30 in just 24 hours. Total Claude usage: roughly 7.5M tokens. But here's the part I find interesting: The bot doesn't care if Bitcoin goes up or down. It cares when the market prices both outcomes incorrectly. A BTC Up/Down market has two contracts: YES or NO At settlement, exactly one pays $1. The other pays $0. So buying both should cost $1. But during fast market moves, the two orderbooks can temporarily drift apart. For example: YES = $0.48, NO = $0.49 Combined = $0.97 The bot buys both. You're paying 97 cents for a position that settles to $1. That's a 3-cent gross spread without needing to predict BTC direction. And this isn't some complicated quant strategy. It's basic arbitrage. The difficult part is capturing it. These gaps can disappear almost instantly. A few cents of edge can also disappear after fees, slippage, or a bad fill. So the bot doesn't blindly buy every time the equation looks good. It checks the available liquidity, estimates the actual executable price, accounts for costs, and only fires when the remaining edge is large enough. It also has to handle the ugly scenario: One leg fills. The other doesn't. That's where a theoretical arbitrage can turn into a very real directional position. This is why I care much more about execution than adding another indicator. A human can find one opportunity. A bot can monitor hundreds of markets continuously. A human needs to click. The bot can react immediately. The strategy itself is almost boring. That's exactly why I like it. The interesting part is turning a simple mathematical rule into software that can actually execute it reliably. I shared the exact build process and prompts in my last article. Leaving it below if you want to build your own. The future of trading might just be better execution. Think bout that...

Oracle Boar

22,148 views • 23 days ago

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

155,166 views • 1 month ago

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 (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M 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.

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 (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M 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.

Oracle Boar

78,062 views • 16 days ago

My conversation with Rob Hadick ＞|＜. As General Partner at Dragonfly, Rob has one of the clearest views on how blockchain is evolving from speculative crypto into the actual infrastructure of global capital markets. In this episode we dig into why finance, payments, asset issuance, and markets are the only parts of crypto that are truly scaling and how the industry is quietly becoming TradFi’s onchain upgrade. We spend a lot of time mapping traditional capital markets primitives directly onto blockchain rails and examining where value is actually going to accrue as tokenization, stablecoins, and onchain trading mature. At the center of the conversation is the belief that blockchain is no longer building a parallel financial system it is becoming the settlement, issuance, and trading layer for the existing one, while crypto itself settles into a more mature “capital markets +” phase focused on real assets, institutional flows, and sustainable business models. We discuss: - The current state of crypto as capital markets infrastructure and the decline of pure speculative narratives - Why finance, payments, and tokenization are winning while most other crypto applications struggle - The architectural parallel between traditional capital markets and on-chain systems - Tokenized assets = Securities - Stablecoins = Cash / settlement - DEXs & on-chain venues = Exchanges - Prediction markets = Information markets - Why institutions are moving on-chain and what they actually want (control, privacy, segregated markets) - Token vs equity: where value accrues in a non-Clarity Act world - The mass extinction event in crypto VC and why Dragonfly is doubling down on financial infrastructure - Stablecoins, RWAs, and the real path to “tokenization of everything” - Prediction markets (and why Polymarket matters) as the next interface layer - Sustainable business models and where value will ultimately capture Timestamps: 0:00 – Introduction & State of Crypto as Capital Markets 2:00 – Why Speculative Narratives Are Fading 7:00 – Finance, Payments & Tokenization as the Only Scaling Verticals 12:00 – Institutional Adoption & What Wall Street Actually Wants 18:00 – Token vs Equity Value Accrual 25:00 – Blockchain as the New Settlement & Issuance Layer 35:00 – Prediction Markets, Information & the Next Interface 45:00 – Crypto VC Consolidation & Dragonfly’s Thesis 55:00 – Real-World Assets, Stablecoins & On-Chain Markets 1:05:00 – Closing Thoughts: Where Value Accrues Next Enjoy!

My conversation with Rob Hadick ＞|＜. As General Partner at Dragonfly, Rob has one of the clearest views on how blockchain is evolving from speculative crypto into the actual infrastructure of global capital markets. In this episode we dig into why finance, payments, asset issuance, and markets are the only parts of crypto that are truly scaling and how the industry is quietly becoming TradFi’s onchain upgrade. We spend a lot of time mapping traditional capital markets primitives directly onto blockchain rails and examining where value is actually going to accrue as tokenization, stablecoins, and onchain trading mature. At the center of the conversation is the belief that blockchain is no longer building a parallel financial system it is becoming the settlement, issuance, and trading layer for the existing one, while crypto itself settles into a more mature “capital markets +” phase focused on real assets, institutional flows, and sustainable business models. We discuss: - The current state of crypto as capital markets infrastructure and the decline of pure speculative narratives - Why finance, payments, and tokenization are winning while most other crypto applications struggle - The architectural parallel between traditional capital markets and on-chain systems - Tokenized assets = Securities - Stablecoins = Cash / settlement - DEXs & on-chain venues = Exchanges - Prediction markets = Information markets - Why institutions are moving on-chain and what they actually want (control, privacy, segregated markets) - Token vs equity: where value accrues in a non-Clarity Act world - The mass extinction event in crypto VC and why Dragonfly is doubling down on financial infrastructure - Stablecoins, RWAs, and the real path to “tokenization of everything” - Prediction markets (and why Polymarket matters) as the next interface layer - Sustainable business models and where value will ultimately capture Timestamps: 0:00 – Introduction & State of Crypto as Capital Markets 2:00 – Why Speculative Narratives Are Fading 7:00 – Finance, Payments & Tokenization as the Only Scaling Verticals 12:00 – Institutional Adoption & What Wall Street Actually Wants 18:00 – Token vs Equity Value Accrual 25:00 – Blockchain as the New Settlement & Issuance Layer 35:00 – Prediction Markets, Information & the Next Interface 45:00 – Crypto VC Consolidation & Dragonfly’s Thesis 55:00 – Real-World Assets, Stablecoins & On-Chain Markets 1:05:00 – Closing Thoughts: Where Value Accrues Next Enjoy!

Logan Jastremski

45,906 views • 13 days ago

The simplest arb bot on Claude Opus 5 made +$1,847 PnL in one day. And it used just one strategy: Buying YES + NO Market metadata being rebuilt every loop > API requests waiting on each other > Orders being created only after spread appeared > Functions doing work they didn't need to do None of those changes made the strategy smarter. They made it faster. Now the bot keeps market metadata cached in memory. Orders are prepared before the opportunity exists. Multiple markets are scanned concurrently instead of one by one. When YES + NO finally drops below $1, the bot isn't thinking anymore. It's simply executing. That's probably the biggest lesson I've learned building arbitrage bots. Most developers ask Claude: "Can you build me a trading strategy?" But here's momething no one will tell you... Much better prompt is: "Pretend you're a low-latency engineer and find every millisecond I'm wasting" That prompt improved my bot more than any new trading idea I've tried. You can try it today but make sure to add my arb guides into a memory of your new project. This will help claude undertsand the concept and fail less. Thank me later, next update on Wednesday space as always.

The simplest arb bot on Claude Opus 5 made +$1,847 PnL in one day. And it used just one strategy: Buying YES + NO Market metadata being rebuilt every loop > API requests waiting on each other > Orders being created only after spread appeared > Functions doing work they didn't need to do None of those changes made the strategy smarter. They made it faster. Now the bot keeps market metadata cached in memory. Orders are prepared before the opportunity exists. Multiple markets are scanned concurrently instead of one by one. When YES + NO finally drops below $1, the bot isn't thinking anymore. It's simply executing. That's probably the biggest lesson I've learned building arbitrage bots. Most developers ask Claude: "Can you build me a trading strategy?" But here's momething no one will tell you... Much better prompt is: "Pretend you're a low-latency engineer and find every millisecond I'm wasting" That prompt improved my bot more than any new trading idea I've tried. You can try it today but make sure to add my arb guides into a memory of your new project. This will help claude undertsand the concept and fail less. Thank me later, next update on Wednesday space as always.

Oracle Boar

19,613 views • 1 month 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

68,617 views • 23 days ago

$💰 A TRADER just ROBBED POLYMARKET for $600,000! Started with ONLY $500 and EXPLOITED the BITCOIN PRICE DELAY - placing bets BEFORE the odds UPDATED! $500 → $600K in hours PURE GENIUS HACK! Who’s NEXT?! Trader Turns $500 into $600,000 on Polymarket in Hours – The Bitcoin Price Delay “Life Hack” That’s Going Viral A mysterious trader may have just pulled off what many in the crypto world are calling the ultimate prediction‑market coup — turning a modest $500 into roughly $600,000 in a single session by exploiting a subtle timing gap in Bitcoin price updates on Polymarket. Social posts that have erupted across X today describe how the trader repeatedly capitalised on a tiny latency in Polymarket’s short‑term Bitcoin markets, placing bets a split second before the platform adjusted prices to reflect real‑time market moves. How the “Glitch in the Matrix” Worked Polymarket’s popular ultra‑short “Bitcoin Up or Down” markets, which resolve in 5‑ or 15‑minute intervals, pull price data from major exchanges such as Binance. There is a slight delay — typically a few hundred milliseconds to a couple of seconds — between live exchange price movements and when those changes are reflected in Polymarket’s odds. According to observers, the trader (widely believed to be operating an automated bot) exploited this delay by watching the live price on external feeds, submitting bets on the direction of Bitcoin before Polymarket’s internal prices had fully adjusted, and repeating the process many times in rapid succession. One viral post captured the dynamic this way: “He was seeing the move a fraction of a second earlier, basically seeing the future. He entered positions before Polymarket odds could adjust. Over and over again. Not luck. Just speed.” Another read: “This is a man who found a glitch in the matrix and ran it until someone noticed.” Screenshots and wallet growth charts circulating online show an account balance rocketing from an initial $500 to mid‑six figures over a few hours, a dramatic ascent that has captured widespread attention. Not the First Time — But Still Wildly Profitable Polymarket has previously acknowledged the challenges of ultra‑short crypto markets and in early 2026 introduced dynamic fees intended to reduce latency arbitrage opportunities. The recent run suggests either the fix was incomplete or the trader has found a new way to capture fleeting price disparities faster than the protocol can adjust. Importantly, this was not a smart‑contract exploit or a rug pull. The activity described aligns with classic high‑frequency trading principles: exploit microsecond advantages in price information and execution. On Wall Street, quant funds have built entire businesses around similar edges. Here, that edge allegedly appeared accessible to an individual with sufficiently fast infrastructure. The Internet’s Reaction The story has ignited discussion across X, with both Russian and English accounts sharing wallet screenshots and short videos of the trades. Commentary ranges from admiration to criticism of the Polymarket mechanism. One widely shared post states: “A trader found a loophole and robbed the bookmaker Polymarket for $600,000. He exploited the delay in Bitcoin price updates… Started with just $500.” Replies to that thread span “genius” and “Polymarket is cooked,” reflecting a split between those whispering admiration for the execution and those questioning the sustainability of the platform’s design. Whether Polymarket will attempt to retroactively claw back profits, adjust rules or simply patch the vulnerability again remains unsettled. For the moment, the anonymous trader is alternately being hailed as a folk hero and criticised as a parasite of an imperfect system. Moral of the Story In prediction markets where time and information intersect, speed can be money. Today’s episode may turn into a cautionary tale about the refinement of oracle feeds and the race to eliminate latency advantages — or it may become part of crypto folklore, a dramatic demonstration of how imperfect markets can be bent by those who read the technical seams most closely.$

💰 A TRADER just ROBBED POLYMARKET for $600,000! Started with ONLY $500 and EXPLOITED the BITCOIN PRICE DELAY - placing bets BEFORE the odds UPDATED! $500 → $600K in hours PURE GENIUS HACK! Who’s NEXT?! Trader Turns $500 into $600,000 on Polymarket in Hours – The Bitcoin Price Delay “Life Hack” That’s Going Viral A mysterious trader may have just pulled off what many in the crypto world are calling the ultimate prediction‑market coup — turning a modest $500 into roughly $600,000 in a single session by exploiting a subtle timing gap in Bitcoin price updates on Polymarket. Social posts that have erupted across X today describe how the trader repeatedly capitalised on a tiny latency in Polymarket’s short‑term Bitcoin markets, placing bets a split second before the platform adjusted prices to reflect real‑time market moves. How the “Glitch in the Matrix” Worked Polymarket’s popular ultra‑short “Bitcoin Up or Down” markets, which resolve in 5‑ or 15‑minute intervals, pull price data from major exchanges such as Binance. There is a slight delay — typically a few hundred milliseconds to a couple of seconds — between live exchange price movements and when those changes are reflected in Polymarket’s odds. According to observers, the trader (widely believed to be operating an automated bot) exploited this delay by watching the live price on external feeds, submitting bets on the direction of Bitcoin before Polymarket’s internal prices had fully adjusted, and repeating the process many times in rapid succession. One viral post captured the dynamic this way: “He was seeing the move a fraction of a second earlier, basically seeing the future. He entered positions before Polymarket odds could adjust. Over and over again. Not luck. Just speed.” Another read: “This is a man who found a glitch in the matrix and ran it until someone noticed.” Screenshots and wallet growth charts circulating online show an account balance rocketing from an initial $500 to mid‑six figures over a few hours, a dramatic ascent that has captured widespread attention. Not the First Time — But Still Wildly Profitable Polymarket has previously acknowledged the challenges of ultra‑short crypto markets and in early 2026 introduced dynamic fees intended to reduce latency arbitrage opportunities. The recent run suggests either the fix was incomplete or the trader has found a new way to capture fleeting price disparities faster than the protocol can adjust. Importantly, this was not a smart‑contract exploit or a rug pull. The activity described aligns with classic high‑frequency trading principles: exploit microsecond advantages in price information and execution. On Wall Street, quant funds have built entire businesses around similar edges. Here, that edge allegedly appeared accessible to an individual with sufficiently fast infrastructure. The Internet’s Reaction The story has ignited discussion across X, with both Russian and English accounts sharing wallet screenshots and short videos of the trades. Commentary ranges from admiration to criticism of the Polymarket mechanism. One widely shared post states: “A trader found a loophole and robbed the bookmaker Polymarket for $600,000. He exploited the delay in Bitcoin price updates… Started with just $500.” Replies to that thread span “genius” and “Polymarket is cooked,” reflecting a split between those whispering admiration for the execution and those questioning the sustainability of the platform’s design. Whether Polymarket will attempt to retroactively claw back profits, adjust rules or simply patch the vulnerability again remains unsettled. For the moment, the anonymous trader is alternately being hailed as a folk hero and criticised as a parasite of an imperfect system. Moral of the Story In prediction markets where time and information intersect, speed can be money. Today’s episode may turn into a cautionary tale about the refinement of oracle feeds and the race to eliminate latency advantages — or it may become part of crypto folklore, a dramatic demonstration of how imperfect markets can be bent by those who read the technical seams most closely.

Russian Market

36,649 views • 5 months ago

You are learning Solidity? And I bought Claude Code for $20 and found a ghost with $6.1M profit. All year I heard the same thing: The prediction market is dead for humans. Python scripts eat arbitrage in 50 milliseconds. I decided to test this. I am not a programmer so I just made Claude Code write an Anomaly Parser a bot that tracks wallets with winrate above statistical error. The code ran for 10 minutes. And gave me HIM. His profile: While you are afraid to trade against machines this brain made $6M. I dove into on-chain analytics expecting to see an HFT bot farming spreads on microseconds. But I saw... human timings. He trades sports like NFL and NBA uses giant volumes to move the price and enters before the crowd. Why is this your Golden Ticket? HFT bots are impossible to copy you will always be a second behind and lose money. But kch123 is a human. He doesn't have faster-than-light reaction he has a Brain. His positions can be copied one to one without slippage risk. My Claude script showed: manual trading is dead but copying smart money is just beginning. I set up my bot to instantly mirror every move of this whale. I no longer analyze matches. I outsourced the brain to a person who made $6 million and the execution to automation. Stop guessing. Start repeating after those who already won. P.S. The Money Button exists it's just that you shouldn't be the one pressing it.

Blaze

70,948 views • 7 months ago

Susquehanna was founded by professional gamblers who turned card-counting and poker into one of the largest options trading firms on earth. the director who ran their trader training program for 30+ years on what the job actually is in 2026: "there's almost no decision-making about a single trade anymore. it's our starting point, it's where we build intuition. but ultimately what our traders are doing is parameterizing and building systems." "seeing how those systems are running, seeing the outcome, and then adjusting parameters to interact in a changing environment." why? speed: "trading happens faster than human speed. if you relied on somebody turning the page of theoretical values to find what an option is worth, the trade's long gone by the time they find it." the edge is rarely in making the single call, it's building the thing that makes the call, and knowing which parameters to use. clip from "Odds on Open"

Susquehanna was founded by professional gamblers who turned card-counting and poker into one of the largest options trading firms on earth. the director who ran their trader training program for 30+ years on what the job actually is in 2026: "there's almost no decision-making about a single trade anymore. it's our starting point, it's where we build intuition. but ultimately what our traders are doing is parameterizing and building systems." "seeing how those systems are running, seeing the outcome, and then adjusting parameters to interact in a changing environment." why? speed: "trading happens faster than human speed. if you relied on somebody turning the page of theoretical values to find what an option is worth, the trade's long gone by the time they find it." the edge is rarely in making the single call, it's building the thing that makes the call, and knowing which parameters to use. clip from "Odds on Open"

Goshawk Trades

23,391 views • 1 month ago

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

Blaze

66,385 views • 7 months ago

I’M DROPPING EVERYTHING AND GOING ALL-IN ON CLAUDE Just asked him to: “Look for mispriced Polymarket markets to profit from arbitrage, and spot wallets that copy these trades” Turned $600 into $10K in one 2 day Monitored ~1k+ wallets I looked at the wallets that he scans and was shocked, here is one of them: $120 → $1.4M 1,947 trades. Win rate 55%. I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using Ares copytrading. It’s not a script and not even the bot, it’s an AI agent that automatically adds top wallets to the leaderboard, and you can simply start copying them and earning. Nothing complicated: - choose a trader - choose PRIORITY MODE (the fastest bot for copytrading) - press the start button That’s all you need to consistently earn. If you’re curious about how to write your own bot, I will send you a step-by-step guide on how to create your bot from scratch. I’ve already helped more than a dozen people achieve stable income. I don’t promise huge sums, I promise stability. Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me Marry Evan (so that I can message you)

I’M DROPPING EVERYTHING AND GOING ALL-IN ON CLAUDE Just asked him to: “Look for mispriced Polymarket markets to profit from arbitrage, and spot wallets that copy these trades” Turned $600 into $10K in one 2 day Monitored ~1k+ wallets I looked at the wallets that he scans and was shocked, here is one of them: $120 → $1.4M 1,947 trades. Win rate 55%. I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using Ares copytrading. It’s not a script and not even the bot, it’s an AI agent that automatically adds top wallets to the leaderboard, and you can simply start copying them and earning. Nothing complicated: - choose a trader - choose PRIORITY MODE (the fastest bot for copytrading) - press the start button That’s all you need to consistently earn. If you’re curious about how to write your own bot, I will send you a step-by-step guide on how to create your bot from scratch. I’ve already helped more than a dozen people achieve stable income. I don’t promise huge sums, I promise stability. Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me Marry Evan (so that I can message you)

Marry Evan

19,800 views • 4 months ago

Polymarket bots don’t need millions anymore to print money Someone came up with Polymarket bot for low balance traders He was flying under the radar, bot I found him I was digging through top bot and ran into something unusual A bot that isn’t loud, isn’t big, and isn’t flex volume “SilverKestrel” - only 84 profile views, no one see him That alone tells you it was doing a good job staying invisible - first trade was on Dec 30 - deposited just $600 Since then, it’s already pulled in about $1,200 in profit That’s 200%+ profit on balance At that pace, flipping $600 to $60k isn’t crazy at all What makes this bot interesting is what it isn’t - It’s not a whale - It doesn’t swing size - It runs around $800 in position value No spam trades. No huge volume. Just clean execution THE SETUP IS SIMPLE - fastest bot atm - 15 min Crypto markets - BTC and ETH only Most importantly - hiding in plain sight Bitcoin markets are flooded with bots Everyone watches the big wallets and high PnL accounts A small bot doesn’t draw attention there. That’s how it stays silent Polymarket bots don’t all need millions anymore to make huge profits With the right speed and market choice, even a low-balance setup can quietly compound Feels like the start of a new era Something tells me that now you can use bots with just $1000 on balance and make huge profits wallet:

gavelsv.patron

98,758 views • 8 months ago

I gave Claude Fable 5 just $100 to test the simplest arbitrage. Left my laptop opened for 24 hours. Session PnL: clean $1,571.66 On Polymarket, YES + NO Aren't there thousands of arbitrage bots already? Absolutely. You're not competing against people. You're competing against infrastructure. The biggest improvement wasn't a new strategy. It was rebuilding the entire execution pipeline. The bot runs on a VPS close to the APIs it talks to instead of my local machine. It keeps persistent connections open instead of reconnecting every request. Market metadata is cached in memory so it only refreshes live prices. Orders are prepared before the opportunity exists. When YES + NO finally drops below $1, there's almost nothing left to calculate. It checks liquidity, order book and submits both legs immediately. Will that beat firms spending millions on low-latency infrastructure? Probably not. It doesn't have to. There are hundreds of active prediction markets, constant volatility and plenty of opportunities that last long enough for a well-engineered bot to compete. That's probably the biggest thing Claude Fable 5 changed for me. I stopped asking it to build me a trading bot and started asking where am I wasting milliseconds. That single shift made the bot noticeably more competitive than any new trading strategy I could have invented. Arbitrage is the king. Irt lives everywhere. The only question is are you ready to study it. Leaving a full build + latency tips guide below this post.

I gave Claude Fable 5 just $100 to test the simplest arbitrage. Left my laptop opened for 24 hours. Session PnL: clean $1,571.66 On Polymarket, YES + NO Aren't there thousands of arbitrage bots already? Absolutely. You're not competing against people. You're competing against infrastructure. The biggest improvement wasn't a new strategy. It was rebuilding the entire execution pipeline. The bot runs on a VPS close to the APIs it talks to instead of my local machine. It keeps persistent connections open instead of reconnecting every request. Market metadata is cached in memory so it only refreshes live prices. Orders are prepared before the opportunity exists. When YES + NO finally drops below $1, there's almost nothing left to calculate. It checks liquidity, order book and submits both legs immediately. Will that beat firms spending millions on low-latency infrastructure? Probably not. It doesn't have to. There are hundreds of active prediction markets, constant volatility and plenty of opportunities that last long enough for a well-engineered bot to compete. That's probably the biggest thing Claude Fable 5 changed for me. I stopped asking it to build me a trading bot and started asking where am I wasting milliseconds. That single shift made the bot noticeably more competitive than any new trading strategy I could have invented. Arbitrage is the king. Irt lives everywhere. The only question is are you ready to study it. Leaving a full build + latency tips guide below this post.

Oracle Boar

18,091 views • 1 month ago