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I BUILT THE FIRST BOT THAT ARBITRAGES BETWEEN POLYMARKET AND KALSHI SIMULTANEOUSLY $100 -> $5,214 in 24 hours 847 trades, zero directional risk polymarket and kalshi are the two biggest prediction markets both trade the same events but their pricing algorithms are different which means their prices drift apart... the gaps are small - 3 to 8 c, but they happen constantly if you trade that difference automatically fast thousands of times the math starts working for you the bot spots the gap in milliseconds buys YES on polymarket at $0.61 sells YES on kalshi at $0.67 while people are still looking at the chart the bot already closed the trade and moved on they say arbitrage in prediction markets is impossible they say the spreads are too small they say the market is efficient $5,214 in one night says otherwiseshow more

zostaff

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67,086 次观看 • 4 个月前 •via X (Twitter)

科学技术财经

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NEW: Prediction markets are scamming the working class. Polymarket and Kalshi claim they are "democratizing finance," but their business model enables a handful of elites to fleece their customers. On Polymarket just 0.04% of traders capture 70% of the profits.

NEW: Prediction markets are scamming the working class. Polymarket and Kalshi claim they are "democratizing finance," but their business model enables a handful of elites to fleece their customers. On Polymarket just 0.04% of traders capture 70% of the profits.

More Perfect Union

341,908 次观看 • 3 个月前

What if you could see what the market believes before you trade? Prediction markets on Polymarket and Kalshi price real world outcomes, in real time. We bring that signal into one place. Introducing AceTrader Prediction Markets, trade ahead of the move.

What if you could see what the market believes before you trade? Prediction markets on Polymarket and Kalshi price real world outcomes, in real time. We bring that signal into one place. Introducing AceTrader Prediction Markets, trade ahead of the move.

AceTrader

25,483 次观看 • 2 个月前

are prediction market platforms like Polymarket and Kalshi the next memecoin trenches? 🤔 prediction markets and shitcoins are inherently two completely different markets prediction markets: betting on the outcome of an event shitcoins: betting on attention, narratives, and communities in this video I gave an in depth breakdown on the differences between prediction markets and shitcoins if you're looking for a community to join feel free to join Kanto Labs

are prediction market platforms like Polymarket and Kalshi the next memecoin trenches? 🤔 prediction markets and shitcoins are inherently two completely different markets prediction markets: betting on the outcome of an event shitcoins: betting on attention, narratives, and communities in this video I gave an in depth breakdown on the differences between prediction markets and shitcoins if you're looking for a community to join feel free to join Kanto Labs

AshRobin 🐶

21,703 次观看 • 7 个月前

Prediction markets are finally getting the mainstream moment everyone was waiting for, and Trust Wallet just placed itself right at the center of it They became the first self-custody wallet to integrate prediction markets directly inside the app. No KYC, no accounts, just open the app and trade.MYRIAD is live now, with Kalshi and Polymarket integrations on the way On the macro side, the momentum is clear. Kalshi hit 5.8B in November, Polymarket reached 3.74B, nearly 10B combined. Prediction markets are becoming one of the strongest flow drivers in the entire sector Trust Wallet isn’t just adding a feature. It’s positioning itself as the primary entry point for the next wave of on-chain users As Always NFA/DYOR

Prediction markets are finally getting the mainstream moment everyone was waiting for, and Trust Wallet just placed itself right at the center of it They became the first self-custody wallet to integrate prediction markets directly inside the app. No KYC, no accounts, just open the app and trade.MYRIAD is live now, with Kalshi and Polymarket integrations on the way On the macro side, the momentum is clear. Kalshi hit 5.8B in November, Polymarket reached 3.74B, nearly 10B combined. Prediction markets are becoming one of the strongest flow drivers in the entire sector Trust Wallet isn’t just adding a feature. It’s positioning itself as the primary entry point for the next wave of on-chain users As Always NFA/DYOR

𝖀𝖈𝖆𝖓

12,938 次观看 • 7 个月前

The people behind the prediction market Kalshi, where people can place wagers on everything from elections and sports contests to the anticipated bridesmaids at Taylor Swift's wedding, say its users trade a billion dollars every week. But as prediction markets are expanding, this burgeoning business model is coming under the scrutiny of some state regulators and attorneys general.

The people behind the prediction market Kalshi, where people can place wagers on everything from elections and sports contests to the anticipated bridesmaids at Taylor Swift's wedding, say its users trade a billion dollars every week. But as prediction markets are expanding, this burgeoning business model is coming under the scrutiny of some state regulators and attorneys general.

CBS Sunday Morning 🌞

153,711 次观看 • 8 个月前

Mr Shift: What's the true innovation with prediction markets? Kalshi CEO: There's many ways to answer that question. Um there's the Kalshi piece of it, but then there's the prediction market piece of it, which are not exactly the same. “But the... the true innovation in prediction markets, I think, is this notion, like... and, and I think it has been built through a lot of literature, and then I think the prediction markets have come in our generation, like Kalshi and some of the others have proven it” “The best way to answer like all these most pressing questions is like you have to ask the crowd”

Mr Shift: What's the true innovation with prediction markets? Kalshi CEO: There's many ways to answer that question. Um there's the Kalshi piece of it, but then there's the prediction market piece of it, which are not exactly the same. “But the... the true innovation in prediction markets, I think, is this notion, like... and, and I think it has been built through a lot of literature, and then I think the prediction markets have come in our generation, like Kalshi and some of the others have proven it” “The best way to answer like all these most pressing questions is like you have to ask the crowd”

ShaDow | Clipur.com

23,860 次观看 • 1 个月前

The Los Angeles Rams are not “all in.” They swung an aggressive trade, yes. They are the rightful Super Bowl favorites, yes. Myles Garrett is awesome, yes. But you can’t say all in when they took a QB of the future at 13th overall:

The Los Angeles Rams are not “all in.” They swung an aggressive trade, yes. They are the rightful Super Bowl favorites, yes. Myles Garrett is awesome, yes. But you can’t say all in when they took a QB of the future at 13th overall:

Nick Kostos

48,786 次观看 • 1 个月前

.Martin Shkreli explains why he's both bearish on prediction markets and runs a bot that makes a market in the Bitcoin 15-minute Polymarket markets: "How much are you just financializing for financializing's sake, and is that sustainable when you actually need people with tons of money to fight the arbitrage gradient?" "For example, I've been running this bot on Polymarket that makes a market in the Bitcoin 15-minute markets, which are somewhat inefficient." "Nobody needs to trade this. There's no actual benefit to trading this, other than that you can take two-to-N bets - you get around 96 bets a day - and with the money velocity of getting a lot of those right, you can compound insanely well." "Of course, it's random. But people's hope springs eternal that they could somehow get the rhythm of the market every 15 minutes. I think it's a waste of ingenuity and engineering."

.Martin Shkreli explains why he's both bearish on prediction markets and runs a bot that makes a market in the Bitcoin 15-minute Polymarket markets: "How much are you just financializing for financializing's sake, and is that sustainable when you actually need people with tons of money to fight the arbitrage gradient?" "For example, I've been running this bot on Polymarket that makes a market in the Bitcoin 15-minute markets, which are somewhat inefficient." "Nobody needs to trade this. There's no actual benefit to trading this, other than that you can take two-to-N bets - you get around 96 bets a day - and with the money velocity of getting a lot of those right, you can compound insanely well." "Of course, it's random. But people's hope springs eternal that they could somehow get the rhythm of the market every 15 minutes. I think it's a waste of ingenuity and engineering."

TBPN

151,807 次观看 • 5 个月前

This guy built a trading bot with Claude and made $68,600 on Polymarket His bot trades short-term Up/Down crypto markets using late-stage scalping and swing arbitrage His strategy is simple: > Often trades cheap tails in the 5-40c range > Allocates most of its capital to outcomes in the 60-97c range > Buys both sides in a way that keeps Up + Down below $1 His Polymarket username: almach By the way, Polymarket launched its perps today. Try them here 👇 Right now, indices, precious metals, and crypto are available to trade

This guy built a trading bot with Claude and made $68,600 on Polymarket His bot trades short-term Up/Down crypto markets using late-stage scalping and swing arbitrage His strategy is simple: > Often trades cheap tails in the 5-40c range > Allocates most of its capital to outcomes in the 60-97c range > Buys both sides in a way that keeps Up + Down below $1 His Polymarket username: almach By the way, Polymarket launched its perps today. Try them here 👇 Right now, indices, precious metals, and crypto are available to trade

VALIX

16,376 次观看 • 9 天前

In 2025 I created an Arbitrage Bot for Kalshi Polymarket Opinion The results were actually quite surprising I will share how much I've been able to make using the bot at the end of the thread! But first, how does it even work? 1. The Strategy A lot of the viral trading bots on X for Prediction Markets are trying to trade just within Polymarket, mostly on highly volatile markets. Buying quickly / selling quickly, this works great if you’re a VC with an infinite budget for development and the fastest infrastructure positioned right next to Polymarkets servers, but doesn't work great for regular traders. I knew building a bot here is like trying to out sprint Usain Bolt wearing flip flops So instead if i wanted to make a bot it would have to be doing something I haven't seen anyone else do So after engaging 100% of my brain I remembered how I'd seen many of the same markets when browsing Kalshi that I'd previously seen on Polymarket. If the odds were different I'd actually be able to arbitrage the two platforms. After checking 20 or so pairs I found a few examples where the odds were different, proving my theory. So i started building 2. The Bot I began crafting an algorithm that collects all the Polymarket, Kalshi & Opinion markets and identifies any that are the same. In total that's over 6,000,000 markets, billions of potential combinations, from that i found around 6,000 that match. A lot of markets have the same title, but slight differences in the rules that means an arbitrage is not possible. For example ‘Will Trump meet XYZ person before ABC date’ - many of these exist between Poly Kalshi but Kalshi defines ‘meeting’ as online, or in real life, whilst Polymarket defines it strictly as in real life. To verify the matches I first used an algorithm that sees if the titles / rules are similar, then I feed every one of those potential pairs into an LLM that is prompted to approve / reject the potential match. This part sounds like it should be easy, but the LLMs were all so inconsistent. I’d pass the same market 10 times and it would reject it twice and approve it eight times. After a lot of prompt engineering I finally got it to a stage where it's at least 99% accurate. The bot then recreates locally all the orderbooks for the matched markets and looks for any pairs with YES + NO values of < $1 & calculate how much you can profitably buy of each side ( your EV ) 3. An Example ‘SpaceX IPO Closing Market Cap? 900B to 1T' This market exists on both Poly & Opinion, but right now the odds are different. YES / NO 4% / 97% - Polymarket 10% / 92% - Opinion Lets say you told the bot you wanted to trade $100 You’d split it $3.85 into Polymarket YES for 104.743 Shares $96.15 into Opinion NO for 104.743 Shares You spent $100, and you got 104.7 shares of each side And because 1 YES + 1 NO = $1 ( when the markets are identical ) Your expected profit is $4.7, because: value ( 104.7 shares * $1 ) - cost ( $100 ) = profit ( 4.7 Shares / $4.7 ) Then once the odds rebalance, usually a few days to a week, you can sell both sides and use the principal + the profit to take another arbitrage $100 isn't much, but imagine if you did $1000, or $10,000 every few days. Since creating the bot it has been finding around $350,000 in arbitrages from over 5,000 matching market pairs every month. That's more than I could ever take my self Assuming an average of 4% per arb (often more), It would take over $8,750,000 deployed to capture them all simultaneously That's why I initially shared the bot with some sharp sportsbook bettors for commission on their trades, eventually making it a public version that's on AlertPilot for anyone to use. 4. The Longevity Will this work forever? No, eventually a VC will come and eat our free lunch, it will become more competitive and the spreads wont be as high as they are now (+10% at times). My mantra here is just to make the most of it whilst I can, and release consistent updates so that it remains competitive against the competition. I already have a head start in that regard. I will say over the last 3 months of using the bot myself, plus adding traders / syndicates to the platform to trade as well, the amount of Arbitrages found has only increased. In large part no doubt to the huge increase in volume on PM’s, especially Opinion where many of the more profitable arbitrages have been. 5. The Profit So how much did I make? I started with a bankroll of $1,000 as I was skeptical initially how well the bot would work, first week I was able to close two 5% arbs. I then increased my bank roll and started sharing the bot with other traders. Since then I've been averaging five figures every month from my own trades + commissions. Anywhere between 12% to 20% per month in closed arbs, personally. To anyone reading this that wants to arbitraging these markets, i've released a version of the bot on AlertPilot! And for any VCs or betting syndicate that wants to trade these markets, my DMs are open. Aspiring trading bot makers, there is money out there if you can be creative in your strategies Have lots of plans for AlertPilot + the Arbitrage bot going into 2026. Happy new year everybody!

In 2025 I created an Arbitrage Bot for Kalshi Polymarket Opinion The results were actually quite surprising I will share how much I've been able to make using the bot at the end of the thread! But first, how does it even work? 1. The Strategy A lot of the viral trading bots on X for Prediction Markets are trying to trade just within Polymarket, mostly on highly volatile markets. Buying quickly / selling quickly, this works great if you’re a VC with an infinite budget for development and the fastest infrastructure positioned right next to Polymarkets servers, but doesn't work great for regular traders. I knew building a bot here is like trying to out sprint Usain Bolt wearing flip flops So instead if i wanted to make a bot it would have to be doing something I haven't seen anyone else do So after engaging 100% of my brain I remembered how I'd seen many of the same markets when browsing Kalshi that I'd previously seen on Polymarket. If the odds were different I'd actually be able to arbitrage the two platforms. After checking 20 or so pairs I found a few examples where the odds were different, proving my theory. So i started building 2. The Bot I began crafting an algorithm that collects all the Polymarket, Kalshi & Opinion markets and identifies any that are the same. In total that's over 6,000,000 markets, billions of potential combinations, from that i found around 6,000 that match. A lot of markets have the same title, but slight differences in the rules that means an arbitrage is not possible. For example ‘Will Trump meet XYZ person before ABC date’ - many of these exist between Poly Kalshi but Kalshi defines ‘meeting’ as online, or in real life, whilst Polymarket defines it strictly as in real life. To verify the matches I first used an algorithm that sees if the titles / rules are similar, then I feed every one of those potential pairs into an LLM that is prompted to approve / reject the potential match. This part sounds like it should be easy, but the LLMs were all so inconsistent. I’d pass the same market 10 times and it would reject it twice and approve it eight times. After a lot of prompt engineering I finally got it to a stage where it's at least 99% accurate. The bot then recreates locally all the orderbooks for the matched markets and looks for any pairs with YES + NO values of < $1 & calculate how much you can profitably buy of each side ( your EV ) 3. An Example ‘SpaceX IPO Closing Market Cap? 900B to 1T' This market exists on both Poly & Opinion, but right now the odds are different. YES / NO 4% / 97% - Polymarket 10% / 92% - Opinion Lets say you told the bot you wanted to trade $100 You’d split it $3.85 into Polymarket YES for 104.743 Shares $96.15 into Opinion NO for 104.743 Shares You spent $100, and you got 104.7 shares of each side And because 1 YES + 1 NO = $1 ( when the markets are identical ) Your expected profit is $4.7, because: value ( 104.7 shares * $1 ) - cost ( $100 ) = profit ( 4.7 Shares / $4.7 ) Then once the odds rebalance, usually a few days to a week, you can sell both sides and use the principal + the profit to take another arbitrage $100 isn't much, but imagine if you did $1000, or $10,000 every few days. Since creating the bot it has been finding around $350,000 in arbitrages from over 5,000 matching market pairs every month. That's more than I could ever take my self Assuming an average of 4% per arb (often more), It would take over $8,750,000 deployed to capture them all simultaneously That's why I initially shared the bot with some sharp sportsbook bettors for commission on their trades, eventually making it a public version that's on AlertPilot for anyone to use. 4. The Longevity Will this work forever? No, eventually a VC will come and eat our free lunch, it will become more competitive and the spreads wont be as high as they are now (+10% at times). My mantra here is just to make the most of it whilst I can, and release consistent updates so that it remains competitive against the competition. I already have a head start in that regard. I will say over the last 3 months of using the bot myself, plus adding traders / syndicates to the platform to trade as well, the amount of Arbitrages found has only increased. In large part no doubt to the huge increase in volume on PM’s, especially Opinion where many of the more profitable arbitrages have been. 5. The Profit So how much did I make? I started with a bankroll of $1,000 as I was skeptical initially how well the bot would work, first week I was able to close two 5% arbs. I then increased my bank roll and started sharing the bot with other traders. Since then I've been averaging five figures every month from my own trades + commissions. Anywhere between 12% to 20% per month in closed arbs, personally. To anyone reading this that wants to arbitraging these markets, i've released a version of the bot on AlertPilot! And for any VCs or betting syndicate that wants to trade these markets, my DMs are open. Aspiring trading bot makers, there is money out there if you can be creative in your strategies Have lots of plans for AlertPilot + the Arbitrage bot going into 2026. Happy new year everybody!

SecureZero is Hiring 

13,638 次观看 • 6 个月前

This guy works at coinbase. in his spare time he built the largest open dataset for polymarket and kalshi 72,100,000 trades. 7,680,000 markets. open source - figured out who actually makes money on prediction markets - wrote a research paper with the math to prove it - 3,100 stars on github just for that also built heimdall-rs - rust toolkit for evm bytecode analysis. 1,500 stars. serious dev 3,008 contributions in the last year while everyone's posting takes about polymarket - he's building the infrastructure underneath it → like + bookmark. you'll need this when you build your first polymarket bot

This guy works at coinbase. in his spare time he built the largest open dataset for polymarket and kalshi 72,100,000 trades. 7,680,000 markets. open source - figured out who actually makes money on prediction markets - wrote a research paper with the math to prove it - 3,100 stars on github just for that also built heimdall-rs - rust toolkit for evm bytecode analysis. 1,500 stars. serious dev 3,008 contributions in the last year while everyone's posting takes about polymarket - he's building the infrastructure underneath it → like + bookmark. you'll need this when you build your first polymarket bot

Archive

119,072 次观看 • 2 个月前

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 → $20,400. The crazy part? It didn’t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: “Read these 20 quant articles. Extract every strategy. Then figure out what they’re not saying.” 48 hours later, the bot was live. The articles talked about the usual things: • basic arbitrage • weather markets • simple spreads But the bot looked deeper. It analyzed 847 trades from top wallets, cross-referenced them with article timestamps, and found something interesting: The gap between what quants publish and what they actually trade. Examples: Articles say: wait for 5% mispricing. Top wallets enter at 2.3%. Articles say: avoid volatile markets. Top wallets make 80% of their profits during volatility spikes. Articles say: start small with $100. Successful bots compound 3–6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results • 127 trades executed • 71% win rate • $600 → $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets “too risky.” The bot saw 18 top wallets entering at the same time. Copytrade → What the bot actually does → scans quant articles for strategy mentions → tracks wallets belonging to the authors → compares what they write vs what they trade → trades the difference The edge isn’t reading quant articles. The edge is watching what happens after they publish them. Most people learn from what traders say. The bot learned from what they hide.

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 → $20,400. The crazy part? It didn’t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: “Read these 20 quant articles. Extract every strategy. Then figure out what they’re not saying.” 48 hours later, the bot was live. The articles talked about the usual things: • basic arbitrage • weather markets • simple spreads But the bot looked deeper. It analyzed 847 trades from top wallets, cross-referenced them with article timestamps, and found something interesting: The gap between what quants publish and what they actually trade. Examples: Articles say: wait for 5% mispricing. Top wallets enter at 2.3%. Articles say: avoid volatile markets. Top wallets make 80% of their profits during volatility spikes. Articles say: start small with $100. Successful bots compound 3–6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results • 127 trades executed • 71% win rate • $600 → $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets “too risky.” The bot saw 18 top wallets entering at the same time. Copytrade → What the bot actually does → scans quant articles for strategy mentions → tracks wallets belonging to the authors → compares what they write vs what they trade → trades the difference The edge isn’t reading quant articles. The edge is watching what happens after they publish them. Most people learn from what traders say. The bot learned from what they hide.

Discover

54,245 次观看 • 4 个月前

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

16,078 次观看 • 3 个月前

Chinese engineers built a Claude-powered bot called PHANTOM that turned $1.18 into $3.3 MILLION. Not signals. Not manual trading. Fully autonomous execution. Stats: • 37,063 trades • 71% win rate • Biggest trade: $180K Copy it here: How it works: Scans thousands of markets across Polymarket + Kalshi Detects mispricing before repricing happens Enters and exits automatically in seconds The system runs 3 different engines: Pairs Arbitrage YES 0.62 + NO 0.41 = instant edge Sentiment AI Scans X + breaking news before markets react Volatility Timing Enters before spikes and exits into movement Why sports and prediction markets are perfect for this: • Slow repricing • Wide spreads • Constant inefficiencies That’s where the millions came from. Humans can’t compete anymore. You can’t monitor 50+ markets at once. You hesitate. You sleep. The bot doesn’t. 24/7 execution. No emotions. No delays. By the time you click, the opportunity is already gone. Manual trading is dying. Automation already won. Want the full setup? Comment “GUIDE” Like + RT Follow Discover

Chinese engineers built a Claude-powered bot called PHANTOM that turned $1.18 into $3.3 MILLION. Not signals. Not manual trading. Fully autonomous execution. Stats: • 37,063 trades • 71% win rate • Biggest trade: $180K Copy it here: How it works: Scans thousands of markets across Polymarket + Kalshi Detects mispricing before repricing happens Enters and exits automatically in seconds The system runs 3 different engines: Pairs Arbitrage YES 0.62 + NO 0.41 = instant edge Sentiment AI Scans X + breaking news before markets react Volatility Timing Enters before spikes and exits into movement Why sports and prediction markets are perfect for this: • Slow repricing • Wide spreads • Constant inefficiencies That’s where the millions came from. Humans can’t compete anymore. You can’t monitor 50+ markets at once. You hesitate. You sleep. The bot doesn’t. 24/7 execution. No emotions. No delays. By the time you click, the opportunity is already gone. Manual trading is dying. Automation already won. Want the full setup? Comment “GUIDE” Like + RT Follow Discover

Discover

40,720 次观看 • 2 个月前

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

1,640,988 次观看 • 2 个月前

i told my bot to read 20 polymarket quant articles and build me a trading system $600 → $20,400 in one week the scary part? it found edges the articles never mentioned gave claude opus 4.6 a simple task: "read these 20 articles from polymarket quants, extract every strategy, find what they're NOT saying, and build me a bot" 48 hours later i had a system running the articles talked about: - arbitrage basics - weather markets - simple spreads but the bot found something else it analyzed 847 trades from top wallets cross-referenced with article timestamps found a pattern nobody wrote about the gap between what quants publish and what they actually trade example: > articles say "wait for 5% mispricing" top wallets enter at 2.3% > articles say "avoid volatile markets" top wallets make 80% of profit during volatility spikes > articles say "start with $100" successful bots compound at 3-6% per trade the bot ignored the public advice copied the actual behavior week 1 results: - 127 trades executed - 71% win rate - $600 → $20,400 biggest win: $4,100 on a 15min BTC marketthe articles said these markets are "too risky" the bot saw 18 top wallets entering simultaneously here's what it actually does: → scans articles for strategy mentions → tracks wallets that publish those articles → compares their written strategy vs actual trades → trades the difference, not the advice the edge isn't reading quant articles the edge is reading what quants do after they publish most people learn from what traders say the bot learned from what they hide am i the only one who thinks public alpha is just exit liquidity?

i told my bot to read 20 polymarket quant articles and build me a trading system $600 → $20,400 in one week the scary part? it found edges the articles never mentioned gave claude opus 4.6 a simple task: "read these 20 articles from polymarket quants, extract every strategy, find what they're NOT saying, and build me a bot" 48 hours later i had a system running the articles talked about: - arbitrage basics - weather markets - simple spreads but the bot found something else it analyzed 847 trades from top wallets cross-referenced with article timestamps found a pattern nobody wrote about the gap between what quants publish and what they actually trade example: > articles say "wait for 5% mispricing" top wallets enter at 2.3% > articles say "avoid volatile markets" top wallets make 80% of profit during volatility spikes > articles say "start with $100" successful bots compound at 3-6% per trade the bot ignored the public advice copied the actual behavior week 1 results: - 127 trades executed - 71% win rate - $600 → $20,400 biggest win: $4,100 on a 15min BTC marketthe articles said these markets are "too risky" the bot saw 18 top wallets entering simultaneously here's what it actually does: → scans articles for strategy mentions → tracks wallets that publish those articles → compares their written strategy vs actual trades → trades the difference, not the advice the edge isn't reading quant articles the edge is reading what quants do after they publish most people learn from what traders say the bot learned from what they hide am i the only one who thinks public alpha is just exit liquidity?

ZER

206,638 次观看 • 4 个月前

Chris Rabb, PA-03 candidate, says he wants to ban prediction markets like Kalshi and Polymarket "It's a poverty tax. And I'm anti-poverty. The last thing we need is more iterations of gaming at the expense of folks who are already on the margins. And there's a lot of influence in those industries on campaigns. Did I mention that I don't take corporate PAC money?"

Chris Rabb, PA-03 candidate, says he wants to ban prediction markets like Kalshi and Polymarket "It's a poverty tax. And I'm anti-poverty. The last thing we need is more iterations of gaming at the expense of folks who are already on the margins. And there's a lot of influence in those industries on campaigns. Did I mention that I don't take corporate PAC money?"

Popstonox

109,614 次观看 • 2 个月前

There's a way to win on Polymarket no matter who wins. Buy YES in one place, NO in another. If they don't add up to a dollar, you locked a profit. Before the event even happens. Here's how the arbitrage actually works and how to master it: This is the closest thing to free money on Polymarket. Every market has a YES and a NO. One of them MUST resolve to $1. The other goes to zero. So in theory, YES + NO should always cost exactly $1. But in thin or messy markets, they don't. Sometimes you can buy: > YES at 0.48 > NO at 0.49 > total cost: 0.97 This guy does it every day: [ He also uploaded a full guide on how to build the same bot. One side pays you $1 at resolution no matter what. He spends 97 cents to guarantee a dollar. That 3 cents is locked, risk-free. There's also the cross-market version. The same event sometimes has two separate markets at different prices. Buy the cheap YES in one, the cheap NO in the other, and pocket the gap. Sounds easy, right? But here's the honest part: These gaps close in about 2.7 seconds now. By the time you click by hand, a bot already took it. So the manual version only really survives in low-liquidity markets the bots ignore. The fast version? That lives in compiled code with a VPS sitting next to the exchange. If you can code, this is one of the cleanest edges i know. If you can't, stick to the thin markets where speed matters less. Good luck!

There's a way to win on Polymarket no matter who wins. Buy YES in one place, NO in another. If they don't add up to a dollar, you locked a profit. Before the event even happens. Here's how the arbitrage actually works and how to master it: This is the closest thing to free money on Polymarket. Every market has a YES and a NO. One of them MUST resolve to $1. The other goes to zero. So in theory, YES + NO should always cost exactly $1. But in thin or messy markets, they don't. Sometimes you can buy: > YES at 0.48 > NO at 0.49 > total cost: 0.97 This guy does it every day: [ He also uploaded a full guide on how to build the same bot. One side pays you $1 at resolution no matter what. He spends 97 cents to guarantee a dollar. That 3 cents is locked, risk-free. There's also the cross-market version. The same event sometimes has two separate markets at different prices. Buy the cheap YES in one, the cheap NO in the other, and pocket the gap. Sounds easy, right? But here's the honest part: These gaps close in about 2.7 seconds now. By the time you click by hand, a bot already took it. So the manual version only really survives in low-liquidity markets the bots ignore. The fast version? That lives in compiled code with a VPS sitting next to the exchange. If you can code, this is one of the cleanest edges i know. If you can't, stick to the thin markets where speed matters less. Good luck!

Dexter's Lab

11,583 次观看 • 1 个月前

This trader built a trading bot with Claude and made $223,000 on Polymarket His bot makes 113 trades per hour and trades the microstructure of short crypto Up/Down markets with a median size of $2.12 His strategy is simple: > Trades outcomes at 98-99.9c when the result is already obvious, but there is still edge left on Polymarket > Buys cheap tails at 1-5c in case the underlying asset moves in the final seconds > Sometimes builds arbitrage positions when it sees edge This guy’s Polymarket account: With this strategy and clean execution, he generates consistent profit and keeps growing his deposit

This trader built a trading bot with Claude and made $223,000 on Polymarket His bot makes 113 trades per hour and trades the microstructure of short crypto Up/Down markets with a median size of $2.12 His strategy is simple: > Trades outcomes at 98-99.9c when the result is already obvious, but there is still edge left on Polymarket > Buys cheap tails at 1-5c in case the underlying asset moves in the final seconds > Sometimes builds arbitrage positions when it sees edge This guy’s Polymarket account: With this strategy and clean execution, he generates consistent profit and keeps growing his deposit

VALIX

40,683 次观看 • 1 个月前

After hitting on two of their three picks last week on Kalshi , Colt Knost and Drew Stoltz are looking to stay hot at the Charles Schwab Challenge If you want to follow along this week we’re offering up $20 for your first $20 trade on the Kalshi App.

After hitting on two of their three picks last week on Kalshi , Colt Knost and Drew Stoltz are looking to stay hot at the Charles Schwab Challenge If you want to follow along this week we’re offering up $20 for your first $20 trade on the Kalshi App.

Subpar

11,543 次观看 • 1 个月前