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Polymarket front run bot Spent the last month building the backend for this bot which essentially acts the same way that high frequency trading bots work in the stock market It waits for a market buy order to come through where there is thin liquidity in the order book... meaning their market buy will push the price up of a YES/NO contract meaning that if my bot buys the contracts first then I can sell them at the high price to the market buy order before their orders have gone through Prediction markets are still early enough to find opportunities like this, just like how the early days of stock trading similar bots to this were invented It is essentially an arbitrage strategy, will make the bot public and free to a few people tomorrow so turn on notifications so you don’t miss itshow more

Ethan

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71,943 views • 8 months ago •via X (Twitter)

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This is Arbigab. The most advanced, off the shelf, profitable arbitrage trading bot for Polymarket & Kalshi. Built by senior developers and trading veterans, this software empowers beginners to capture their share of the market! To get the bot NOW or get more information, visit: Below is a live trading session using our rust trading engine for arbitrage on the BTC up/down 5 minutes market. It's a sample of 2 iterations. You can find this terminal on the website front page. It is connected to our production backend (with a 2 minutes delay).

This is Arbigab. The most advanced, off the shelf, profitable arbitrage trading bot for Polymarket & Kalshi. Built by senior developers and trading veterans, this software empowers beginners to capture their share of the market! To get the bot NOW or get more information, visit: Below is a live trading session using our rust trading engine for arbitrage on the BTC up/down 5 minutes market. It's a sample of 2 iterations. You can find this terminal on the website front page. It is connected to our production backend (with a 2 minutes delay).

Gabagool 22 Trading Bot

19,121 views • 5 months ago

I activated a bot that market makes on Polymarket and earns passive income from the spread Main function: Market Making In simple terms: The bot automatically places buy orders LOWER and sell orders HIGHER, earning from the difference (spread) > What the bot does: 1. Analyzes the market: - Checks current prices - Calculates optimal spread - Determines order size 2. Places orders 3. Waits for execution 4. Earns from the spread > Repeats the cycle: - Constantly updates orders - Monitors price - Manages position This two markets which I used to market-making:

I activated a bot that market makes on Polymarket and earns passive income from the spread Main function: Market Making In simple terms: The bot automatically places buy orders LOWER and sell orders HIGHER, earning from the difference (spread) > What the bot does: 1. Analyzes the market: - Checks current prices - Calculates optimal spread - Determines order size 2. Places orders 3. Waits for execution 4. Earns from the spread > Repeats the cycle: - Constantly updates orders - Monitors price - Manages position This two markets which I used to market-making:

cryptovcdegen

12,569 views • 7 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

🆕 Limit orders are now available for Crypto.com Sports and Prediction Trading 🎯 Automatically buy or sell contract at your target price 📖 Transparent, real-time order book to make informed decisions 😎 No need to monitor the market 📲 All it takes is a few quick taps Learn how to create your first Limit order in this video tutorial 👇

🆕 Limit orders are now available for Crypto.com Sports and Prediction Trading 🎯 Automatically buy or sell contract at your target price 📖 Transparent, real-time order book to make informed decisions 😎 No need to monitor the market 📲 All it takes is a few quick taps Learn how to create your first Limit order in this video tutorial 👇

Crypto.com

23,540 views • 11 months ago

The question of whether Polymarket will ban bots is not what you should be thinking about. The right question is how one Python bot manages to make $736K a week. I'm talking about the wallet SeriouslySirius. Its stats look like a glitch in the matrix 400K% ROI and over $3.8M in net profit. His profile: Here's how it works. There's no magic or gut feeling for picking winners. It's pure math and algorithms. The secret behind the strategy: It doesn't guess outcomes. The bot doesn't try to figure out who will win. It trades price differences. Only liquid markets. NFL and NBA. Huge volumes there so you can enter a $500K position without crashing the market instantly. Vegas as the benchmark. The bot is tied to Vegas bookmaker lines not to crowd emotions on Polymarket. Catching lag. This is the real juice. When a Vegas line moves by 0.5 to 1 point Polymarket lags for a few minutes. The bot sees this movement before everyone else and jumps into the trade while the platform price hasn't caught up yet. This gives 3 to 8 cents of guaranteed profit per dollar. Buying underdogs. If the crowd overvalues the favorite the bot buys the underdog below 50 cents and just waits for the market to correct the price. Will it get banned? Probably not. The bot doesn't break the system it makes it more efficient by adding liquidity. Essentially this is not a gambler but a high frequency hedge fund operating on sports events. This is an example of how Python code and understanding market mechanics beats any expert analysis. Copying this manually is almost impossible because you simply can't keep up with the robot in those 2 to 3 minutes when the opportunity window opens. But the logic itself of looking for price mismatches relative to Vegas is a solid approach. Tracking wallets that repeat this execution pattern is easier with PolyCop

Blaze

26,369 views • 7 months ago

The sports bot is still cooking This bot made $400k in 7 days This is the same Polymarket bot I mentioned before The one that printed over $4,000,000 last month, and it hasn’t slowed down RIGHT NOW - he is loading up aggressively on NBA Finals markets - odds there are clearly mispriced trader 'DrPufferfish' - $500k in active positions - 740 predictions total - over $4,000,000 in PnL profile: WHAT GIVES THIS BOT AN EDGE? It understood something early: sports markets on Polymarket are structurally broken It doesn’t predict outcomes. It abuses the order book The bot scans every live sports market, looks for wide spreads, and buys where liquidity is sloppy No waiting. Just execution That’s how these numbers happen Not magic. Not luck Just someone who realized where the edge actually is and took it before everyone else caught on

gavelsv.patron

14,474 views • 7 months ago

This guy built a trading bot with Claude and made $74,000 on Polymarket His bot trades the microstructure of short-term Up/Down markets through high-frequency accumulation of two-sided positions with directional exposure His strategy has six steps: 1. At the start of each 5-minute market, it records the current Bitcoin or Ethereum price 2. It then tracks the asset’s movement, remaining time, short-term momentum, and volatility 3. Based on this data, it calculates its own fair probability for Up and Down 4. It buys an outcome when the market price appears undervalued 5. If the asset’s price direction changes, the bot may first buy Up and then start buying Down 6. The opposite side partially hedges the accumulated position, while the remaining directional exposure creates the edge This guy’s Polymarket account: Using this strategy, he maintains positive expected value and consistently grows his deposit

This guy built a trading bot with Claude and made $74,000 on Polymarket His bot trades the microstructure of short-term Up/Down markets through high-frequency accumulation of two-sided positions with directional exposure His strategy has six steps: 1. At the start of each 5-minute market, it records the current Bitcoin or Ethereum price 2. It then tracks the asset’s movement, remaining time, short-term momentum, and volatility 3. Based on this data, it calculates its own fair probability for Up and Down 4. It buys an outcome when the market price appears undervalued 5. If the asset’s price direction changes, the bot may first buy Up and then start buying Down 6. The opposite side partially hedges the accumulated position, while the remaining directional exposure creates the edge This guy’s Polymarket account: Using this strategy, he maintains positive expected value and consistently grows his deposit

VALIX

25,505 views • 2 months ago

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

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

Moon Dev

11,948 views • 5 months ago

Anthropic want to launch CLAUDE RS automated trading bot for Polymarket After automating trading of the S&P500 they went further and are entering the cryptocurrency market For example they took a Polymarket bot that turned $1.60 into $1 000 000 in 4 month His account is BoneReader: Copytrading like Claude: How it works: - Claude monitors hundreds of wallets 24/7 - Evaluates win rates, market timing and sizing - Tests micro trades to find the best strategy - Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. This is the future. Manual trading is probably dead FOREVER. Like comment retweet and I will send you an open GitHub with a similar bot on which I managed to earn $4700 in 3 days Don’t forget to follow so I can DM you

Anthropic want to launch CLAUDE RS automated trading bot for Polymarket After automating trading of the S&P500 they went further and are entering the cryptocurrency market For example they took a Polymarket bot that turned $1.60 into $1 000 000 in 4 month His account is BoneReader: Copytrading like Claude: How it works: - Claude monitors hundreds of wallets 24/7 - Evaluates win rates, market timing and sizing - Tests micro trades to find the best strategy - Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. This is the future. Manual trading is probably dead FOREVER. Like comment retweet and I will send you an open GitHub with a similar bot on which I managed to earn $4700 in 3 days Don’t forget to follow so I can DM you

AdiiX

67,257 views • 5 months ago

My Polymarket bot takes 4 input parameters: > number of shares to buy > total price threshold that allows the hedge > dump threshold > number of minutes from the start of the round during which Leg 1 is allowed Profitability depends entirely on these parameters, so to determine the optimal parameter set, I need to backtest across many different configurations. The issue is that the API returns empty historical data for the “Bitcoin Up or Down” market (this happens for some markets). My solution is to build a bot that records live market data and saves it to a JSON file. I’ll let it run for a few days, then use this recorded data for backtesting. I’ll share the backtest results, so you can get a clear idea of the best-performing parameters.

My Polymarket bot takes 4 input parameters: > number of shares to buy > total price threshold that allows the hedge > dump threshold > number of minutes from the start of the round during which Leg 1 is allowed Profitability depends entirely on these parameters, so to determine the optimal parameter set, I need to backtest across many different configurations. The issue is that the API returns empty historical data for the “Bitcoin Up or Down” market (this happens for some markets). My solution is to build a bot that records live market data and saves it to a JSON file. I’ll let it run for a few days, then use this recorded data for backtesting. I’ll share the backtest results, so you can get a clear idea of the best-performing parameters.

The Smart Ape 🔥

38,100 views • 8 months ago

My Polymarket bot is finished! It’s fully automated, I just run it and let the magic happen. At the start of each "Bitcoin Up or Down" round, the bot only watches the market during the first 2 minutes (configurable). If, during that time, either UP or DOWN drops fast enough, a price drop of at least 15% over 3 seconds (configurable), the bot triggers Leg 1 and immediately buys the side that dumped. After this first buy, the bot will never buy the same side again. Instead, it waits for a hedge opportunity on the opposite side. The hedge (Leg 2) is triggered only when: Leg1 entry price + current opposite ask price auto on [sum=0.95] [move=0.15] [windowMin=2] > shares: number of shares bought each time (for both Leg 1 and Leg 2) > sum: total price threshold that allows the hedge > move: dump threshold (e.g. 0.15 = 15%) > windowMin: number of minutes from the start of the round during which Leg 1 is allowed In this example, I ran: auto on 10 0.95 0.15 4 The bot watched the market for the first 4 minutes and bought 10 DOWN shares at $0.35 after a 17% drop in 3 seconds. A few seconds later, it bought 10 UP shares at $0.56, because: 0.56 + 0.35 = 0.91 < 0.95 That locked in a clean 9% profit. Why limit the strategy to the first 4 minutes of the round? Because early in the cycle, the market still has time to dump further and then stabilize. The closer you get to the end of the round, the lower the probability of seeing large corrective moves. Early on, there’s still time for volatility to play out. You can watch the video, the first order triggers at 2:50, and the second order at 3:02. If you’re interested in the bot, DM me.

My Polymarket bot is finished! It’s fully automated, I just run it and let the magic happen. At the start of each "Bitcoin Up or Down" round, the bot only watches the market during the first 2 minutes (configurable). If, during that time, either UP or DOWN drops fast enough, a price drop of at least 15% over 3 seconds (configurable), the bot triggers Leg 1 and immediately buys the side that dumped. After this first buy, the bot will never buy the same side again. Instead, it waits for a hedge opportunity on the opposite side. The hedge (Leg 2) is triggered only when: Leg1 entry price + current opposite ask price auto on [sum=0.95] [move=0.15] [windowMin=2] > shares: number of shares bought each time (for both Leg 1 and Leg 2) > sum: total price threshold that allows the hedge > move: dump threshold (e.g. 0.15 = 15%) > windowMin: number of minutes from the start of the round during which Leg 1 is allowed In this example, I ran: auto on 10 0.95 0.15 4 The bot watched the market for the first 4 minutes and bought 10 DOWN shares at $0.35 after a 17% drop in 3 seconds. A few seconds later, it bought 10 UP shares at $0.56, because: 0.56 + 0.35 = 0.91 < 0.95 That locked in a clean 9% profit. Why limit the strategy to the first 4 minutes of the round? Because early in the cycle, the market still has time to dump further and then stabilize. The closer you get to the end of the round, the lower the probability of seeing large corrective moves. Early on, there’s still time for volatility to play out. You can watch the video, the first order triggers at 2:50, and the second order at 3:02. If you’re interested in the bot, DM me.

The Smart Ape 🔥

202,857 views • 8 months ago

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 views • 2 months ago

This trader built a trading bot with Claude and made $295,000 on Polymarket His bot makes 28.8 trades per hour or 1.58 trades per minute and trades the structure of related markets around the same underlying asset price His strategy is simple: > Compares the current ETH/SOL/XRP price with the price on Polymarket > Buys when it sees a gap between fair probability and the order book price > Uses arbitrage if there is edge This guy’s Polymarket account: Using this strategy, he generates consistent profit and grows his capital

This trader built a trading bot with Claude and made $295,000 on Polymarket His bot makes 28.8 trades per hour or 1.58 trades per minute and trades the structure of related markets around the same underlying asset price His strategy is simple: > Compares the current ETH/SOL/XRP price with the price on Polymarket > Buys when it sees a gap between fair probability and the order book price > Uses arbitrage if there is edge This guy’s Polymarket account: Using this strategy, he generates consistent profit and grows his capital

VALIX

77,394 views • 3 months ago

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 

13,658 views • 8 months ago

💭 IF THERE ARE STRONG $XRP ETF INFLOWS, WHY DOESN'T THE PRICE GO UP? This is a frequently asked question about various cryptos and their corresponding ETFs. Matt Hougan of Bitwise explains how his company purchases its cryptocurrencies. The purchases are done via an "OTC" trade. This is to prevent huge swings in the price and to essentially get them a "better deal" on such a large purchase. Once Bitwise selects its market maker, it will go into the market and buy the XRP off the exchange. So, they're the ones that are in the market buying the XRP. And then, they take that XRP and they send it to Bitwise's custodian. 📽️: Good Evening Crypto

💭 IF THERE ARE STRONG $XRP ETF INFLOWS, WHY DOESN'T THE PRICE GO UP? This is a frequently asked question about various cryptos and their corresponding ETFs. Matt Hougan of Bitwise explains how his company purchases its cryptocurrencies. The purchases are done via an "OTC" trade. This is to prevent huge swings in the price and to essentially get them a "better deal" on such a large purchase. Once Bitwise selects its market maker, it will go into the market and buy the XRP off the exchange. So, they're the ones that are in the market buying the XRP. And then, they take that XRP and they send it to Bitwise's custodian. 📽️: Good Evening Crypto

CryptosRus

138,528 views • 8 months ago

🚨 BREAKING NEWS ALMOST a BILLION paid for PFOF PAYMENT FOR ORDER FLOW‼️ Citadel Securities paid US $943 MILLION for retail US equity, options order flow in nine months. PAYMENT FOR ORDER FLOW (PFOF) is a practice where brokerage firms sell their clients’ trade orders to market makers instead of routing them directly to stock exchanges. This allows brokers to offer commission-free trading, but it creates conflicts of interest. Market makers profit by executing these trades at prices slightly unfavorable to retail investors, capturing the spread between buy and sell prices. This reduces price transparency and can lead to inferior trade execution for small investors. PFOF also concentrates market power in a few firms, increasing systemic risks and reducing competition. Overall, it distorts fair price discovery and undermines investor trust in the market. SUMMARY: Just another tool utilized by market makers to CHEAT RETAIL INVESTORS ‼️ Investors of: #DJT #GME #AMC HYMC MMTLP TSLA and others, WE HAVE THE SAME ENEMIES ‼️

🚨 BREAKING NEWS ALMOST a BILLION paid for PFOF PAYMENT FOR ORDER FLOW‼️ Citadel Securities paid US $943 MILLION for retail US equity, options order flow in nine months. PAYMENT FOR ORDER FLOW (PFOF) is a practice where brokerage firms sell their clients’ trade orders to market makers instead of routing them directly to stock exchanges. This allows brokers to offer commission-free trading, but it creates conflicts of interest. Market makers profit by executing these trades at prices slightly unfavorable to retail investors, capturing the spread between buy and sell prices. This reduces price transparency and can lead to inferior trade execution for small investors. PFOF also concentrates market power in a few firms, increasing systemic risks and reducing competition. Overall, it distorts fair price discovery and undermines investor trust in the market. SUMMARY: Just another tool utilized by market makers to CHEAT RETAIL INVESTORS ‼️ Investors of: #DJT #GME #AMC HYMC MMTLP TSLA and others, WE HAVE THE SAME ENEMIES ‼️

BlackManBoating $APE AMC #debtFREE2026 🚀MICHAEL🐐

62,201 views • 1 year ago

This guy built a trading bot with Claude and made $87,000 on Polymarket His bot trades the microstructure of short-term crypto Up/Down markets using high-frequency scalping, with elements of swing arbitrage and hedged trading His strategy is simple: > Compares the underlying asset price with the price on Polymarket and trades mispricings > First buys one side, then after the price moves, buys the opposite side so that Up + Down stays below $1 > Uses asymmetric sizing: small size on cheap tails, while most of the volume goes into the 60-97c range This guy’s Polymarket account: Using this strategy and clean execution, he turned $19.7k into $87.1k in one month of trading

This guy built a trading bot with Claude and made $87,000 on Polymarket His bot trades the microstructure of short-term crypto Up/Down markets using high-frequency scalping, with elements of swing arbitrage and hedged trading His strategy is simple: > Compares the underlying asset price with the price on Polymarket and trades mispricings > First buys one side, then after the price moves, buys the opposite side so that Up + Down stays below $1 > Uses asymmetric sizing: small size on cheap tails, while most of the volume goes into the 60-97c range This guy’s Polymarket account: Using this strategy and clean execution, he turned $19.7k into $87.1k in one month of trading

VALIX

21,254 views • 1 month ago

Why is Palantir so expensive? You don’t need to look at spreadsheets. Just consider this: The market knows NVIDIA sells the shovels for the AI goldrush. The market is realizing that AI isn’t being monetized at the commercial level because although it’s cool, it’s not unlocking any real insights yet. The market now anticipates that Palantir is selling the maps to find the gold…. Gold being AI-driven insights that actually solve difficult problems. Software that works. Since 2021, NVIDIA’s revenue has exploded from $16B to $96B. Palantir’s TTM revenue is $2.5B. The trajectory of Palantir has changed since AIP released in 2023, which is enabling the company to scale. If NVIDIA sells the shovels, and Palantir provides the maps, then the market believes Palantir will see the same explosion of growth within the commercial market, which the market believes has an almost unlimited TAM for Palantir. A lot of people missed out on NVIDIA. While Palantir’s market cap is expensive at $95B, it is nothing compared to NVIDIA’s $3.26T market cap in terms of size. The market doesn’t want to miss out on the next big thing. At this point, investors have thrown all standard methods of valuation out of the window… Those days were years ago. To me, at this point, buying the stock is betting on NVIDIA-like growth (No I’m not saying the company will shoot to a $3T market cap in 2 years — you get the point). If the company does not show this sort of revenue growth, the stock will be punished. This is the risk investors are willing to take. While I am very bullish on the company in the long run, I, like everyone else, have no clue what will actually happen in the short term. This is not a stock to play on the short term. This is why I continue to hold, regardless of how “expensive” the stock gets. I personally believe Palantir does in fact carry the potential to see explosive revenue growth to more than enough justify its current ratios. I’m not saying it will happen this quarter. But the potential is there. It’s a matter of when, in my opinion. I would never risk selling what I view as my golden ticket to wealth with the justification of “it’s too expensive, the price will come back down and I can buy even more then”. If the stock crashes, I can start buying more shares regardless — I don’t want to get greedy and try to time the market. I would never forgive myself if I sold and the stock ended up soaring so high that even after a crash, it would be far too expensive for me to get back in with my original position size (plus capital gains tax). I don’t care who agrees with me or who thinks I’m crazy for saying this — it’s a real risk to me and I’m not willing to take it. This is not me telling you to buy $PLTR. My average is $8.50. Only you can decide what is right, and your decision should be made on your own level of conviction from studying the company — nothing else. This is me telling you why it’s so expensive. Again, I believe that if the stock does not continue to crush earnings each quarter, even the slightest miss, the stock will be punished in the short term. For longs, it’s another opportunity to accumulate more. This is my opinion, of course. 5-10 years from now, we’ll see who was right. Chips & Ontology.

Why is Palantir so expensive? You don’t need to look at spreadsheets. Just consider this: The market knows NVIDIA sells the shovels for the AI goldrush. The market is realizing that AI isn’t being monetized at the commercial level because although it’s cool, it’s not unlocking any real insights yet. The market now anticipates that Palantir is selling the maps to find the gold…. Gold being AI-driven insights that actually solve difficult problems. Software that works. Since 2021, NVIDIA’s revenue has exploded from $16B to $96B. Palantir’s TTM revenue is $2.5B. The trajectory of Palantir has changed since AIP released in 2023, which is enabling the company to scale. If NVIDIA sells the shovels, and Palantir provides the maps, then the market believes Palantir will see the same explosion of growth within the commercial market, which the market believes has an almost unlimited TAM for Palantir. A lot of people missed out on NVIDIA. While Palantir’s market cap is expensive at $95B, it is nothing compared to NVIDIA’s $3.26T market cap in terms of size. The market doesn’t want to miss out on the next big thing. At this point, investors have thrown all standard methods of valuation out of the window… Those days were years ago. To me, at this point, buying the stock is betting on NVIDIA-like growth (No I’m not saying the company will shoot to a $3T market cap in 2 years — you get the point). If the company does not show this sort of revenue growth, the stock will be punished. This is the risk investors are willing to take. While I am very bullish on the company in the long run, I, like everyone else, have no clue what will actually happen in the short term. This is not a stock to play on the short term. This is why I continue to hold, regardless of how “expensive” the stock gets. I personally believe Palantir does in fact carry the potential to see explosive revenue growth to more than enough justify its current ratios. I’m not saying it will happen this quarter. But the potential is there. It’s a matter of when, in my opinion. I would never risk selling what I view as my golden ticket to wealth with the justification of “it’s too expensive, the price will come back down and I can buy even more then”. If the stock crashes, I can start buying more shares regardless — I don’t want to get greedy and try to time the market. I would never forgive myself if I sold and the stock ended up soaring so high that even after a crash, it would be far too expensive for me to get back in with my original position size (plus capital gains tax). I don’t care who agrees with me or who thinks I’m crazy for saying this — it’s a real risk to me and I’m not willing to take it. This is not me telling you to buy $PLTR. My average is $8.50. Only you can decide what is right, and your decision should be made on your own level of conviction from studying the company — nothing else. This is me telling you why it’s so expensive. Again, I believe that if the stock does not continue to crush earnings each quarter, even the slightest miss, the stock will be punished in the short term. For longs, it’s another opportunity to accumulate more. This is my opinion, of course. 5-10 years from now, we’ll see who was right. Chips & Ontology.

Jack Prescott

278,422 views • 1 year ago

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

Devs are leaking their Polymarket bots While everyone else is asking how to build one and earn passively People who actually cracked it are doing the opposite They’re dumping the edge before it disappears and print money on Polymarket ‘moondev’ built one of the fastest bots out there using Opus 4.5 Instead of flexing it, he tore it apart in public and showed exactly how these bots work - scan markets 24/7 - buy at the lowest possible price - sell with limit orders into the spread - repeat it a thousand times THE RESULTS? - 1266% ROI That’s the part people miss By showing the process, he also revealed the secret EXECUTION BEATS IDEAS Once the secret is public, the edge compresses fast What’s interesting is that this strategy is already being used elsewhere I found a bot running the same playbook trader 'distinct-baguette' - joined 2 months ago - over 21,000 predictions - $350,000 PnL No narratives. No prediction skill Just relentless execution Buy better than everyone else. Sell higher than everyone else. Let the code do the work That’s why devs are stepping away. Once enough people understand how this really works, it stops working Before you make your bot, ask yourself Do you want to learn how bots used to make money or figure out where the next edge is before it gets dumped too?

Devs are leaking their Polymarket bots While everyone else is asking how to build one and earn passively People who actually cracked it are doing the opposite They’re dumping the edge before it disappears and print money on Polymarket ‘moondev’ built one of the fastest bots out there using Opus 4.5 Instead of flexing it, he tore it apart in public and showed exactly how these bots work - scan markets 24/7 - buy at the lowest possible price - sell with limit orders into the spread - repeat it a thousand times THE RESULTS? - 1266% ROI That’s the part people miss By showing the process, he also revealed the secret EXECUTION BEATS IDEAS Once the secret is public, the edge compresses fast What’s interesting is that this strategy is already being used elsewhere I found a bot running the same playbook trader 'distinct-baguette' - joined 2 months ago - over 21,000 predictions - $350,000 PnL No narratives. No prediction skill Just relentless execution Buy better than everyone else. Sell higher than everyone else. Let the code do the work That’s why devs are stepping away. Once enough people understand how this really works, it stops working Before you make your bot, ask yourself Do you want to learn how bots used to make money or figure out where the next edge is before it gets dumped too?

gavelsv.patron

66,019 views • 7 months ago