Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

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...

Dan1ro0's profile picture

Daniro

5,472 subscribers

74,055 görüntüleme • 6 gün önce •via X (Twitter)

FinansBilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

16 Yorum

VALIX profil fotoğrafı
VALIX6 gün önce

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

Daniro profil fotoğrafı
Daniro6 gün önce

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

Keyser 🇺🇸 profil fotoğrafı
Keyser 🇺🇸6 gün önce

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!

cinnamina profil fotoğrafı
cinnamina6 gün önce

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

Daniro profil fotoğrafı
Daniro6 gün önce

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

Hussain Hashim | Building SundayBack profil fotoğrafı
Hussain Hashim | Building SundayBack5 gün önce

@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.

Craig|A.R. profil fotoğrafı
Craig|A.R.5 gün önce

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

hello profil fotoğrafı
hello5 gün önce

Give me the prompt to make this

senkec profil fotoğrafı
senkec5 gün önce

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

Bob The Breeder profil fotoğrafı
Bob The Breeder6 gün önce

This dashboard bullshit spam has got to fucking stop

TTD 🇮🇩 profil fotoğrafı
TTD 🇮🇩5 gün önce

Agreed

M profil fotoğrafı
M6 gün önce

@grok esto es cierto?

RavenWarrior profil fotoğrafı
RavenWarrior6 gün önce

How do I learn to do this?

Tinyossal Biononsense profil fotoğrafı
Tinyossal Biononsense5 gün önce

we are the operator of this AI as well

Eti Cyril profil fotoğrafı
Eti Cyril5 gün önce

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

Rashmil C Hassan profil fotoğrafı
Rashmil C Hassan5 gün önce

Fake

Benzer Videolar

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange
0:36

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

VALIX

98,892 görüntüleme • 4 ay önce

This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears
0:26

This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears

Daniro

54,383 görüntüleme • 3 ay önce

This trader made +$177,981 on Polymarket with his HFT algorithm, with an average trade of $28 His bot makes around 150 trades per hour, or 2.5 trades per minute. It trades BTC, ETH, and SOL Up/Down markets, constantly comparing its own fair probability with the price on Polymarket Its strategy: 1. Buys the side where its model sees an edge 2. Continues increasing the position as the price moves, until the mispricing fully disappears 3. When the signal reverses, it buys the opposite outcome and turns part of the inventory into a dynamic hedge His nickname: std0 Follow this account and trade on Polymarket through this bot: Stats: > Total Deposit: $3.7K > Win Rate: 52% > PnL: +$178k Using this strategy and high-quality execution, he captures a micro edge and repeats it thousands of times That’s how he reached a 4,810% ROI in 5 months of trading
0:25

This trader made +$177,981 on Polymarket with his HFT algorithm, with an average trade of $28 His bot makes around 150 trades per hour, or 2.5 trades per minute. It trades BTC, ETH, and SOL Up/Down markets, constantly comparing its own fair probability with the price on Polymarket Its strategy: 1. Buys the side where its model sees an edge 2. Continues increasing the position as the price moves, until the mispricing fully disappears 3. When the signal reverses, it buys the opposite outcome and turns part of the inventory into a dynamic hedge His nickname: std0 Follow this account and trade on Polymarket through this bot: Stats: > Total Deposit: $3.7K > Win Rate: 52% > PnL: +$178k Using this strategy and high-quality execution, he captures a micro edge and repeats it thousands of times That’s how he reached a 4,810% ROI in 5 months of trading

VALIX

62,058 görüntüleme • 28 gün önce

This trader built a trading bot on Polymarket and made +$149,305 His bot trades 5-minute crypto Up/Down markets using its own probability model and dynamic exposure management: 1. It looks for undervalued outcomes based on its model It pulls underlying asset data from external sources, compares it with the current Polymarket price, and enters a position when it sees mispricing The model factors in distance from the reference price, momentum, volatility, time to resolution, and order flow 2. When the signal weakens, it reduces the position or adds the opposite outcome If the initial edge disappears, it can partially reduce the position If the signal fully reverses, it starts buying the opposite outcome as a dynamic hedge His Polymarket nickname: trinity42 Follow this account and trade on Polymarket through this app: The main edge of this algorithm comes from the accuracy of its probability model and effective position management through hedging
0:25

This trader built a trading bot on Polymarket and made +$149,305 His bot trades 5-minute crypto Up/Down markets using its own probability model and dynamic exposure management: 1. It looks for undervalued outcomes based on its model It pulls underlying asset data from external sources, compares it with the current Polymarket price, and enters a position when it sees mispricing The model factors in distance from the reference price, momentum, volatility, time to resolution, and order flow 2. When the signal weakens, it reduces the position or adds the opposite outcome If the initial edge disappears, it can partially reduce the position If the signal fully reverses, it starts buying the opposite outcome as a dynamic hedge His Polymarket nickname: trinity42 Follow this account and trade on Polymarket through this app: The main edge of this algorithm comes from the accuracy of its probability model and effective position management through hedging

VALIX

26,313 görüntüleme • 17 gün önce

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital
0:30

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital

VALIX

84,178 görüntüleme • 1 ay önce

This guy built an HFT bot on Polymarket with Claude Result: +$174,125 in 2 months His bot trades 5 and 15-minute crypto Up/Down markets using a directional strategy with a dynamic hedge: 1. Constantly calculates its own probability for Up and Down 2. Buys the side where its model sees an edge 3. When the underlying asset reverses, it doesn’t close the position. Instead, it starts accumulating the opposite outcome This is how the algorithm constantly changes its net exposure inside each market The opposite side is used as a dynamic hedge, while the remaining exposure forms the directional position > Average trade: $14.68 > Trades/active hour: 131 > Win Rate: 52% His Polymarket account: This bot constantly recalculates probabilities and adapts its position to every new market move Using this strategy, it captures a micro edge and steadily grows its capital Save this so you don’t lose it
0:26

This guy built an HFT bot on Polymarket with Claude Result: +$174,125 in 2 months His bot trades 5 and 15-minute crypto Up/Down markets using a directional strategy with a dynamic hedge: 1. Constantly calculates its own probability for Up and Down 2. Buys the side where its model sees an edge 3. When the underlying asset reverses, it doesn’t close the position. Instead, it starts accumulating the opposite outcome This is how the algorithm constantly changes its net exposure inside each market The opposite side is used as a dynamic hedge, while the remaining exposure forms the directional position > Average trade: $14.68 > Trades/active hour: 131 > Win Rate: 52% His Polymarket account: This bot constantly recalculates probabilities and adapts its position to every new market move Using this strategy, it captures a micro edge and steadily grows its capital Save this so you don’t lose it

VALIX

27,231 görüntüleme • 1 ay önce

He built a trading bot on Polymarket with Claude Result: +$66,295 in 1 month His bot trades short-term crypto Up/Down markets using a strategy with 4 core elements: 1. Right after a market opens, it calculates the probability of Up and Down 2. If its own estimate differs from the price on Polymarket, it buys the undervalued outcome 3. When the move is confirmed, it increases the position, even if the price has become more expensive 4. If the signal changes, it starts buying the opposite side as a hedge or to flip the position His Polymarket username: uninformedfloww He captures a consistent edge through a large number of trades with positive expected value That’s how he made +$66k in one month
0:28

He built a trading bot on Polymarket with Claude Result: +$66,295 in 1 month His bot trades short-term crypto Up/Down markets using a strategy with 4 core elements: 1. Right after a market opens, it calculates the probability of Up and Down 2. If its own estimate differs from the price on Polymarket, it buys the undervalued outcome 3. When the move is confirmed, it increases the position, even if the price has become more expensive 4. If the signal changes, it starts buying the opposite side as a hedge or to flip the position His Polymarket username: uninformedfloww He captures a consistent edge through a large number of trades with positive expected value That’s how he made +$66k in one month

VALIX

15,778 görüntüleme • 1 ay önce

THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window
0:23

THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window

Yarchi

22,966 görüntüleme • 3 ay önce

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
0:26

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

Daniro

31,221 görüntüleme • 3 ay önce

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
0:26

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

Daniro

22,807 görüntüleme • 3 ay önce

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
0:25

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

VALIX

46,302 görüntüleme • 20 gün önce

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
0:26

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 görüntüleme • 3 ay önce

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 görüntüleme • 4 ay önce

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
0:25

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 görüntüleme • 19 gün önce

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.
0:39

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 görüntüleme • 1 ay önce

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 görüntüleme • 2 ay önce

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
0:38

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 görüntüleme • 5 ay önce

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
0:28

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 görüntüleme • 12 gün önce

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.
0:21

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 görüntüleme • 1 ay önce

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
0:27

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 görüntüleme • 27 gün önce