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This guy used Grok Bot to build a Quant position scaling system and it made $1,375 a day The result is already +$235,199 PnL in 171 days with only $46 per average trade, repeating the same setup 25 times every hour across BTC "Up or Down" markets Several agents...

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Daniro

5,472 subscribers

74,055 Aufrufe • vor 6 Tagen •via X (Twitter)

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16 Kommentare

Profilbild von VALIX
VALIXvor 6 Tagen

I know this guy. He built one of the most profitable trading bots on Polymarket. I’ve been following him for a long time

Profilbild von Daniro
Danirovor 6 Tagen

His result is not a series of random events; for more than four months now he has been showing a steadily growing PNL

Profilbild von Keyser 🇺🇸
Keyser 🇺🇸vor 6 Tagen

Yes!!! Everybody’s doing it— I used a fly brain, piped it through an ant cluster then main framed it into the hive and got it to trade options— 666 agents printing money! It’s so easy and guaranteed— Just buy more tokens and be wealthy!

Profilbild von cinnamina
cinnaminavor 6 Tagen

This shows you don't need huge bets to make huge money

Profilbild von Daniro
Danirovor 6 Tagen

$46 average trade is not that much, but executions are repeated very often, which leads to the position growing over time

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 5 Tagen

@Dan1ro0 impressive numbers! Curious how you handle the risk side with that many trades per hour. That's where I always trip up in my projects.

Profilbild von Craig|A.R.
Craig|A.R.vor 5 Tagen

Because grok bot has been around for 171 days. Total AI slop

Profilbild von hello
hellovor 5 Tagen

Give me the prompt to make this

Profilbild von senkec
senkecvor 5 Tagen

guys this guy is full of shit, he is gettin paid he is posting this bullshit trash, dont get baited

Profilbild von Bob The Breeder
Bob The Breedervor 6 Tagen

This dashboard bullshit spam has got to fucking stop

Profilbild von TTD 🇮🇩
TTD 🇮🇩vor 5 Tagen

Agreed

Profilbild von M
Mvor 6 Tagen

@grok esto es cierto?

Profilbild von RavenWarrior
RavenWarriorvor 6 Tagen

How do I learn to do this?

Profilbild von Tinyossal Biononsense
Tinyossal Biononsensevor 5 Tagen

we are the operator of this AI as well

Profilbild von Eti Cyril
Eti Cyrilvor 5 Tagen

Can i get this bot too? I would love you to train me

Profilbild von Rashmil C Hassan
Rashmil C Hassanvor 5 Tagen

Fake

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This guy used Claude to build a Quant Bot and made +$115,533 on Polymarket Since Mar 25, this wallet has been averaging about $1,409 in profit per day while running at roughly 29 trades per hour 56,703 predictions with a 60% win rate in 82 days This trader’s Polymarket account: The bot strategy is simple: >It keeps scanning for markets where the price has not fully caught up yet >enters before the repricing is complete and keeps deploying the same setup across a huge number of entries >the edge on each trade is small, but the constant repetition is what pushes the curve higher over time Most profitable trades: $1,166 → $2,288 (+$1,122, +96.19%) $737 → $1,731 (+$994, +134.96%) $838 → $1,821 (+$983, +117.4%) It is a repeatable high-frequency process that keeps turning delayed pricing into steady PnL

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31,221 Aufrufe • vor 3 Monaten

This trader used Claude to build a Quant Bot and made +$78,118 on Polymarket Since Apr 28, this wallet has been averaging about $1,953 in profit per day and roughly 28 trades per hour This trader has put in $17.3K in deposits and is now sitting at roughly +450.4% ROI 26,505 predictions with a 64% win rate in 40 days This trader’s Polymarket account: The bot strategy is simple: >It does not need one huge move >It keeps picking off markets where the price is still wrong >Gets in before the odds fully catch up and runs the same setup again and again across a very large number of entries >That is how a small edge turns into a steep PnL curve Most profitable trades: $171 → $1,840 (+$1,668 +972.74%) $110 → $1,757 (+$1,647 +1,497.37%) $72 → $1,306 (+$1,234 +1,711.59%) What makes this stand out is not one lucky hit. It is the same repeatable pricing mistake, attacked early and recycled over and over until the gap closes
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This trader used Claude to build a Quant Bot and made +$78,118 on Polymarket Since Apr 28, this wallet has been averaging about $1,953 in profit per day and roughly 28 trades per hour This trader has put in $17.3K in deposits and is now sitting at roughly +450.4% ROI 26,505 predictions with a 64% win rate in 40 days This trader’s Polymarket account: The bot strategy is simple: >It does not need one huge move >It keeps picking off markets where the price is still wrong >Gets in before the odds fully catch up and runs the same setup again and again across a very large number of entries >That is how a small edge turns into a steep PnL curve Most profitable trades: $171 → $1,840 (+$1,668 +972.74%) $110 → $1,757 (+$1,647 +1,497.37%) $72 → $1,306 (+$1,234 +1,711.59%) What makes this stand out is not one lucky hit. It is the same repeatable pricing mistake, attacked early and recycled over and over until the gap closes

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This guy built an HFT algorithm and made +$249,869 on Polymarket His bot trades 5-minute BTC Up/Down markets using a hybrid of passive market making, complete-set accumulation, and directional residual: 1. It uses BTC price movements to build Up + Down positions for less than $1 After the first buy, it waits for the underlying asset to move and then starts accumulating the opposite side For example: > Up = 41c -> some time later Down = 54c > Up + Down = 95c -> 5c gross edge The average cost of its complete sets is 96.73c, which means the average structural edge is around 3.27c 2. It leaves a small directional residual Around 81% of its inventory in 5-minute markets consists of paired Up + Down positions. The remaining 19% stays directional If its fair-value model considers one side undervalued, it doesn’t have to fully hedge it and can keep additional exposure It’s Polymarket nickname: almach Stats: > Trades / active hour: 150 > Average trade: $33.50 > Win Rate: 49% Ultimately, the edge of this guy’s algorithm comes from buying Up and Down at different points during BTC price movements, then turning most of the inventory into complete sets that cost less than $1 It keeps a small remainder directional when it’s own fair probability still shows an edge

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This guy used Claude to build a Quant Bot and made +$589,139 on Polymarket. 25,388 predictions with a 63% win rate in 77 days. That comes out to roughly $7,651 in profit per day and almost 14 trades per hour. With $217K in deposits, he is now up 2.7x. About +271.5% ROI. The bot strategy is simple: It finds markets where the pricing is still off. Gets in before the odds fully catch up. Repeats the same setup again and again across many entries. The edge on each trade is small. But scale and repetition turn it into a massive result. Most profitable trades: $17,839 → $36,318 (+$18,478, +103.58%) $3,112 → $15,011 (+$11,898, +382.22%) $10,676 → $22,178 (+$11,502, +107.74%) What makes it work is not one huge trade. It is the same small advantage, applied fast, applied often, and repeated until the pricing gap is gone. I reverse-engineered it. Had Claude rebuild the same logic. One prompt. 90 minutes. Fully deployed. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word PROFIT 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you

Himanshu Kumar

85,774 Aufrufe • vor 3 Monaten

This is the rarest piece of HFT content on the internet - Robert Almgren walking through a real execution trade tick by tick He's the co-founder of Quantitative Brokers and the man who wrote the Almgren-Chriss model - the standard execution algorithm used at Goldman, Citadel, Two Sigma In this lecture he shows a live order from May 14 2018, every fill, every limit, every market reaction across 2 minutes and 40 seconds The article above is that exact same thinking applied to Polymarket - measure your edge in bits before you place a single trade Bookmark it & give it a watch tonight ↓
16:43

This is the rarest piece of HFT content on the internet - Robert Almgren walking through a real execution trade tick by tick He's the co-founder of Quantitative Brokers and the man who wrote the Almgren-Chriss model - the standard execution algorithm used at Goldman, Citadel, Two Sigma In this lecture he shows a live order from May 14 2018, every fill, every limit, every market reaction across 2 minutes and 40 seconds The article above is that exact same thinking applied to Polymarket - measure your edge in bits before you place a single trade Bookmark it & give it a watch tonight ↓

0xDipper

256,289 Aufrufe • vor 4 Monaten

This guy built an HFT algorithm on Polymarket with an average trade size of $23 Result: +$216,633 His bot trades crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and partial complete-set accumulation: 1. It looks for directional edge using its own fair probability It constantly compares its estimated probability of Up and Down with current Polymarket prices and enters positions when it sees mispricing 2. When the signal changes, it buys the opposite outcome Instead of closing the original position, it starts accumulating the other side. Part of the inventory gradually turns into paired Up + Down positions The median cost of a pair is around $0.945 3. It keeps a directional residual The median inventory imbalance is around 40% of total shares The matched part of the position captures structural edge, while the remaining inventory continues working in the direction of the model’s current signal His Polymarket nickname: pspspsps5 Follow this account and trade on Polymarket through this app: The main edge of this guy’s algorithm comes from combining two mechanics: First, it accumulates the outcome that its model considers undervalued. Then, when the market changes, it uses the opposite side as a dynamic hedge and builds complete sets
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This guy built an HFT algorithm on Polymarket with an average trade size of $23 Result: +$216,633 His bot trades crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and partial complete-set accumulation: 1. It looks for directional edge using its own fair probability It constantly compares its estimated probability of Up and Down with current Polymarket prices and enters positions when it sees mispricing 2. When the signal changes, it buys the opposite outcome Instead of closing the original position, it starts accumulating the other side. Part of the inventory gradually turns into paired Up + Down positions The median cost of a pair is around $0.945 3. It keeps a directional residual The median inventory imbalance is around 40% of total shares The matched part of the position captures structural edge, while the remaining inventory continues working in the direction of the model’s current signal His Polymarket nickname: pspspsps5 Follow this account and trade on Polymarket through this app: The main edge of this guy’s algorithm comes from combining two mechanics: First, it accumulates the outcome that its model considers undervalued. Then, when the market changes, it uses the opposite side as a dynamic hedge and builds complete sets

VALIX

36,397 Aufrufe • vor 19 Tagen

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.
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I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.

Oracle Boar

78,062 Aufrufe • vor 1 Monat

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!
0:41

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

Oracle Boar

155,656 Aufrufe • vor 2 Monaten

This trader made $303,000 on Polymarket using a trading bot, buying markets for $14 His trading bot makes 10.26 trades per minute or 615.6 trades per hour. It trades 5 and 15-min crypto markets and looks for micro inefficiencies His strategy is simple: > Tracks Up and Down prices within the same market and across related markets > When it sees an imbalance, it starts buying the undervalued side with limit orders > Sometimes uses arbitrage if it sees edge This guy’s Polymarket account: Using this strategy and good trade execution, he generates profit consistently
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This trader made $303,000 on Polymarket using a trading bot, buying markets for $14 His trading bot makes 10.26 trades per minute or 615.6 trades per hour. It trades 5 and 15-min crypto markets and looks for micro inefficiencies His strategy is simple: > Tracks Up and Down prices within the same market and across related markets > When it sees an imbalance, it starts buying the undervalued side with limit orders > Sometimes uses arbitrage if it sees edge This guy’s Polymarket account: Using this strategy and good trade execution, he generates profit consistently

VALIX

17,343 Aufrufe • vor 5 Monaten

This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move
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This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move

VALIX

362,710 Aufrufe • vor 12 Tagen

This trader built a bot with Claude Fable 5 that makes 876 trades per hour. Result: $226,000 profit on Polymarket. Starting capital: $2,366. Time frame: 1 month. The bot does high-frequency scalping and arbitrages 5-min and 15-min Bitcoin markets. Execution speed: 14.6 trades per minute. The strategy is simple: 1. Buys only with limit orders to control entry price Average market cost: $10 per position. No market orders. No slippage. Just precise entries. 2. Uses 5-min markets for arbitrage Average edge per trade: 7.27% The bot identifies mispriced outcomes and captures the spread before it closes. 3. Builds directional positions on 15-min markets Trigger: order book imbalance appears. The edge is reading order flow faster than everyone else and leaning into the side with momentum. The entire edge is execution speed + order book reading. While manual traders place 1-2 trades per hour, this bot completes 876. No hesitation. No emotion. Just high-frequency scalping repeating itself at scale. Some context: Most people try to predict where Bitcoin goes next. This system just identifies arbitrage windows on 5-min markets, builds directional positions when order book imbalance appears on 15-min markets, and captures micro-edges before they disappear. Limit order arbitrage + scalping turned $2,366 into $226,000 in 30 days. The system runs autonomous: → Claude Fable 5 handles decision logic → Monitors 5-min and 15-min BTC markets continuously → Executes limit orders when arbitrage edge appears → Builds directional positions on order book imbalance → Scalps micro-edges at 14.6 trades per minute No manual trading. No chart analysis. Just finding mispriced markets and exploiting the edge before anyone else. 💡 I'm sharing the complete Claude Fable 5 prompt and high-frequency scalping workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Fable" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.
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This trader built a bot with Claude Fable 5 that makes 876 trades per hour. Result: $226,000 profit on Polymarket. Starting capital: $2,366. Time frame: 1 month. The bot does high-frequency scalping and arbitrages 5-min and 15-min Bitcoin markets. Execution speed: 14.6 trades per minute. The strategy is simple: 1. Buys only with limit orders to control entry price Average market cost: $10 per position. No market orders. No slippage. Just precise entries. 2. Uses 5-min markets for arbitrage Average edge per trade: 7.27% The bot identifies mispriced outcomes and captures the spread before it closes. 3. Builds directional positions on 15-min markets Trigger: order book imbalance appears. The edge is reading order flow faster than everyone else and leaning into the side with momentum. The entire edge is execution speed + order book reading. While manual traders place 1-2 trades per hour, this bot completes 876. No hesitation. No emotion. Just high-frequency scalping repeating itself at scale. Some context: Most people try to predict where Bitcoin goes next. This system just identifies arbitrage windows on 5-min markets, builds directional positions when order book imbalance appears on 15-min markets, and captures micro-edges before they disappear. Limit order arbitrage + scalping turned $2,366 into $226,000 in 30 days. The system runs autonomous: → Claude Fable 5 handles decision logic → Monitors 5-min and 15-min BTC markets continuously → Executes limit orders when arbitrage edge appears → Builds directional positions on order book imbalance → Scalps micro-edges at 14.6 trades per minute No manual trading. No chart analysis. Just finding mispriced markets and exploiting the edge before anyone else. 💡 I'm sharing the complete Claude Fable 5 prompt and high-frequency scalping workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Fable" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.

Himanshu Kumar

56,295 Aufrufe • vor 1 Monat

This trader made +$265,478 on Polymarket with his HFT algorithm and a median trade size of $29 His bot trades the microstructure of short-term crypto Up/Down markets, combining late-resolution sniping with hedging Its strategy: 1. Constantly recalculates Up/Down probability based on order book depth, reference price, and spot feeds 2. As the signal gets confirmed, it increases the position: the median first buy is 91¢, while the final buy is 99¢ 3. In 88.2% of markets, it buys only one outcome, while using the opposite side as a hedge when the signal changes It waits for the moment when there is no longer enough time left for the outcome to change, then increases its position in the almost-confirmed side His Polymarket nickname: BoneOhio You can build your own trading bot here: (Trial period available after registration) The main edge of this guy’s algorithm appears closer to resolution, when the outcome is already almost determined, but the winning side can still be bought for 98-99¢ That’s how he steadily grows his capital
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This trader made +$265,478 on Polymarket with his HFT algorithm and a median trade size of $29 His bot trades the microstructure of short-term crypto Up/Down markets, combining late-resolution sniping with hedging Its strategy: 1. Constantly recalculates Up/Down probability based on order book depth, reference price, and spot feeds 2. As the signal gets confirmed, it increases the position: the median first buy is 91¢, while the final buy is 99¢ 3. In 88.2% of markets, it buys only one outcome, while using the opposite side as a hedge when the signal changes It waits for the moment when there is no longer enough time left for the outcome to change, then increases its position in the almost-confirmed side His Polymarket nickname: BoneOhio You can build your own trading bot here: (Trial period available after registration) The main edge of this guy’s algorithm appears closer to resolution, when the outcome is already almost determined, but the winning side can still be bought for 98-99¢ That’s how he steadily grows his capital

VALIX

44,885 Aufrufe • vor 27 Tagen