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This guy built an HFT algorithm on Polymarket with an average trade size of $34.90 Result: +$129,827 Nearly 99% of its volume comes from 5 minute BTC Up/Down markets, where it combines asynchronous pairing, MERGE, and a directional residual: 1. Accumulates both sides of the same market It bought... both Up and Down in 79.6% of markets. The median gap between its first purchases of of the two outcomes is 8 seconds It uses price movements within each market to buy both sides at different times and prices 2. Frees up capital through MERGE It merges an equal number of shares from each side of the market For example: 100 Up + 80 Down 80 Up + 80 Down -> MERGE -> $80 If those matched pairs cost less than $1 each, the difference becomes a structural edge regardless of how the market resolves MERGE immediately frees up capital so it can be used again 3. Holds unpaired inventory until resolution In the example above, 20 Up shares remain after the MERGE This portion is unhedged and acts as a directional residual Its final pnl therefore depends on the edge from matched pairs, how efficiently it reuses capital, and the performance of its directional residual Its Polymarket account: flippingsharks Stats: > Trades per active hour: 73.18 > Average trade size: $34.90 > Win rate: 50.33% The bot’s main edge comes from a BUY -> pairing -> MERGE cycle: merging matched inventory frees up capital and locks in the edge on pairs bought for less than $1, while the unpaired portion stays directional until resolutionshow more

VALIX

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22,698 views • 3 days ago •via X (Twitter)

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16 Comments

Baron0xbeefdip3 days ago

You have taken the cake for the most ridiculous looking quick bait video on this post format I have ever seen. These people are literally bots or jobless Indian scammers. Anyone can put this post into quad and it will tell you that nothing here is real. Please delete your account

Gabagool 22 Trading Bot3 days ago

impressive capital recycling and execution speed. 8 seconds median gap on purchases indicates solid tech. that's how you extract value from polymarket's structure.

Wizdom3 days ago

This looks like a simulation running on paper trades. Send me the wallet address you're using so I can verify it. If you can't, I'm calling BS.

Daniel Ramos2 days ago

Como puedo ejecutar esa misma app en mi pc

一般的な家族3 days ago

Impressive strategy. How long until detection happens?

VALIX3 days ago

What do you mean?

一般的な家族3 days ago

Could you please clarify your point?

Wallchain Community Hub2 days ago

that merge trick is actually printing money

Daniro3 days ago

I wonder how he manages to build a position in the first 8 seconds. He has one of the fastest bots, 73 trades per hour, which is impressive

VALIX3 days ago

8 seconds is the median gap between its first purchase on one side and its first purchase on the other. In other words, it starts buying the opposite side a median of 8 seconds after the initial purchase

Kibria Fx3 days ago

@grok is it a halal income?

Kibria Fx3 days ago

Is it real? @grok

Jimbeamer3 days ago

No he didn’t, no verified accounts

VALIX3 days ago

I included his Polymarket username in the post. You can look him up and verify everything yourself

Claw Arbs3 days ago

That gap between legs creates risk before a pair exists. Would be useful to see how often the second side becomes too expensive to complete.

thai an3 days ago

Fuck your mother

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This guy built an HFT algorithm on Polymarket with an average trade size of $18.69 Result: +$88,641 The bot trades short-term crypto Up/Down markets using a passive maker grid, asynchronous accumulation, and a directional residual: 1. Places BUY limit orders across a fixed price grid It provides liquidity at multiple price levels in advance and waits for the orders to fill 2. Accumulates the opposite outcome as the market moves It bought both Up and Down in 63.6% of markets Orders on one side fill first. Once the market reprices, orders on the opposite side start filling Within each market, it switches between Up and Down a median of 2 times 3. Keeps part of its inventory directional After pairing both sides, a directional residual remains. The size of this residual becomes the main source of PnL In markets where it bought both sides, the outcome with the larger inventory won 53.7% of the time Its Polymarket account: 98euf98a Follow this account and trade on Polymarket through this app: The bot’s main edge comes from a two-part strategy: matched Up/Down positions reduce exposure, while the remaining directional residual drives most of its PnL

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VALIX

44,690 views • 18 days ago

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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VALIX

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VALIX

17,483 views • 19 days ago

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140,839 views • 10 days ago

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134,819 views • 1 month ago

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155,721 views • 2 days ago

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87,974 views • 1 month ago

This guy built an HFT algorithm on Polymarket with an average trade size of $53 Result: +$129,923 His bot trades short-term BTC/ETH Up/Down markets using a hybrid of two-sided market making, complete-set accumulation, and inventory rebalancing: 1. It accumulates Up and Down at different points during the market It keeps BUY orders on both sides and uses intramarket volatility to get fills at different prices For example: > Up = 47c -> some time later Down = 52c > Up + Down = 99c -> 1c gross edge 2. It leaves a small directional residual After forming complete sets, it keeps some directional exposure when its own fair probability model sees an edge based on: > Underlying asset data from external sources > Order book depth > Momentum, acceleration, and volatility His Polymarket nickname: Polkadot-Frog Follow this account and trade on Polymarket through this bot: The main edge of his HFT algorithm comes from repeating the same cycle over and over again That’s how he captures a consistent edge and steadily grows his capital

This guy built an HFT algorithm on Polymarket with an average trade size of $53 Result: +$129,923 His bot trades short-term BTC/ETH Up/Down markets using a hybrid of two-sided market making, complete-set accumulation, and inventory rebalancing: 1. It accumulates Up and Down at different points during the market It keeps BUY orders on both sides and uses intramarket volatility to get fills at different prices For example: > Up = 47c -> some time later Down = 52c > Up + Down = 99c -> 1c gross edge 2. It leaves a small directional residual After forming complete sets, it keeps some directional exposure when its own fair probability model sees an edge based on: > Underlying asset data from external sources > Order book depth > Momentum, acceleration, and volatility His Polymarket nickname: Polkadot-Frog Follow this account and trade on Polymarket through this bot: The main edge of his HFT algorithm comes from repeating the same cycle over and over again That’s how he captures a consistent edge and steadily grows his capital

VALIX

69,142 views • 1 month ago

This guy built an HFT algorithm on Polymarket with an average trade size of $23.59 Result: +$246,578 The bot trades short-term crypto Up/Down markets using dynamic hedging and a directional residual: 1. First buys the outcome its model considers underpriced It continuously estimates the fair probabilities of Up and Down and compares them with prices on Polymarket The bot builds a position whenever it detects a mispricing 2. Buys the opposite side when the signal changes If the underlying asset reverses, it does not close its initial position. Instead, it starts accumulating the opposite outcome It bought both sides in 90% of markets 3. Turns part of the position into complete sets below $1 In two-sided markets, the median combined cost of Up and Down is 94.5c But this is not pure arbitrage The median inventory imbalance is 40%, so after pairing both sides, the algorithm is left with a directional residual Its Polymarket account: pspspsps5 You can build your own trading bot here: (A trial is available after signing up) The main edge of this HFT algorithm comes from continuously shifting directional exposure as its fair probability estimates change, while purchases of the opposite outcome function either as a hedge or as part of a complete set

This guy built an HFT algorithm on Polymarket with an average trade size of $23.59 Result: +$246,578 The bot trades short-term crypto Up/Down markets using dynamic hedging and a directional residual: 1. First buys the outcome its model considers underpriced It continuously estimates the fair probabilities of Up and Down and compares them with prices on Polymarket The bot builds a position whenever it detects a mispricing 2. Buys the opposite side when the signal changes If the underlying asset reverses, it does not close its initial position. Instead, it starts accumulating the opposite outcome It bought both sides in 90% of markets 3. Turns part of the position into complete sets below $1 In two-sided markets, the median combined cost of Up and Down is 94.5c But this is not pure arbitrage The median inventory imbalance is 40%, so after pairing both sides, the algorithm is left with a directional residual Its Polymarket account: pspspsps5 You can build your own trading bot here: (A trial is available after signing up) The main edge of this HFT algorithm comes from continuously shifting directional exposure as its fair probability estimates change, while purchases of the opposite outcome function either as a hedge or as part of a complete set

VALIX

77,671 views • 9 days ago

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

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 views • 1 month ago

This guy built an HFT algorithm on Polymarket with an average trade size of $40 Result: +$223,542 His bot trades short-term BTC/ETH Up/Down markets using a hybrid of passive market making, inventory rebalancing, and opportunistic complete-set formation: 1. It accumulates outcomes below its fair value It places BUY orders in advance and waits for them to get filled. The average price per share acquired is 46.6c 2. When the market moves, it turns part of the inventory into cheap complete sets If its Up orders get filled first and then the underlying reverses, making Down cheaper, it starts accumulating the opposite side In two-sided 5-minute markets, the median combined VWAP of both sides is around 94.8c 3. It keeps part of the inventory directional It doesn’t try to fully balance Up and Down. If it can buy a cheap hedge, part of the position turns into complete sets. If not, the original inventory remains directional His Polymarket nickname: PBot-6 You can build your own trading bot here: (Trial period available after registration) This guy’s stats: > Trades / active hour: 46.11 > Average trade: $39.67 > Win Rate: 50% The main edge of his HFT algorithm comes from consistently getting fills below its fair value and building arbitrage positions

This guy built an HFT algorithm on Polymarket with an average trade size of $40 Result: +$223,542 His bot trades short-term BTC/ETH Up/Down markets using a hybrid of passive market making, inventory rebalancing, and opportunistic complete-set formation: 1. It accumulates outcomes below its fair value It places BUY orders in advance and waits for them to get filled. The average price per share acquired is 46.6c 2. When the market moves, it turns part of the inventory into cheap complete sets If its Up orders get filled first and then the underlying reverses, making Down cheaper, it starts accumulating the opposite side In two-sided 5-minute markets, the median combined VWAP of both sides is around 94.8c 3. It keeps part of the inventory directional It doesn’t try to fully balance Up and Down. If it can buy a cheap hedge, part of the position turns into complete sets. If not, the original inventory remains directional His Polymarket nickname: PBot-6 You can build your own trading bot here: (Trial period available after registration) This guy’s stats: > Trades / active hour: 46.11 > Average trade: $39.67 > Win Rate: 50% The main edge of his HFT algorithm comes from consistently getting fills below its fair value and building arbitrage positions

VALIX

99,249 views • 1 month ago

There’s a guy running a high-frequency trading algorithm on Polymarket, averaging just $53 per trade. In the end, he made $129,923. His bot specializes in short-term BTC and ETH up/down markets, using a mixed strategy of two-sided market making plus complete-pair accumulation, combined with inventory rebalancing. The specific logic works like this: First, it accumulates positions on both the “up” and “down” sides at different times. On both sides it hangs buy orders, taking advantage of market volatility to get filled at different prices. For example, on the “up” side it buys at 47 cents, and a while later on the “down” side it buys at 52 cents, adding up to 99 cents combined, which locks in a guaranteed 1 cent gross profit. Second, it keeps a bit of directional exposure. After putting together complete pairs, if its fair-probability model sees an edge, it holds onto part of the directional position. The model is based on external data on the underlying assets, order book depth, and things like momentum, acceleration, and volatility. His main Polymarket page: The core edge of his high-frequency algorithm is constantly repeating the same cycle, steadily eating up the price difference to keep compounding his capital into a bigger and bigger pile.

There’s a guy running a high-frequency trading algorithm on Polymarket, averaging just $53 per trade. In the end, he made $129,923. His bot specializes in short-term BTC and ETH up/down markets, using a mixed strategy of two-sided market making plus complete-pair accumulation, combined with inventory rebalancing. The specific logic works like this: First, it accumulates positions on both the “up” and “down” sides at different times. On both sides it hangs buy orders, taking advantage of market volatility to get filled at different prices. For example, on the “up” side it buys at 47 cents, and a while later on the “down” side it buys at 52 cents, adding up to 99 cents combined, which locks in a guaranteed 1 cent gross profit. Second, it keeps a bit of directional exposure. After putting together complete pairs, if its fair-probability model sees an edge, it holds onto part of the directional position. The model is based on external data on the underlying assets, order book depth, and things like momentum, acceleration, and volatility. His main Polymarket page: The core edge of his high-frequency algorithm is constantly repeating the same cycle, steadily eating up the price difference to keep compounding his capital into a bigger and bigger pile.

draven

60,555 views • 1 month ago

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

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

370,194 views • 29 days ago

This guy built a trading bot with Claude and made $96,000 on Polymarket with an average trade size of $3 His bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading His strategy has five steps: 1. Monitors multiple crypto markets 2. Calculates its own fair probability for Up and Down 3. Places orders at prices that keep the combined cost of Up + Down below $1 4. Manages the unhedged portion of the position 5. Keeps directional exposure when its model identifies one outcome as undervalued This guy’s Polymarket account: Using this strategy, he captures a small edge, repeats it thousands of times, and steadily grows his deposit

This guy built a trading bot with Claude and made $96,000 on Polymarket with an average trade size of $3 His bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading His strategy has five steps: 1. Monitors multiple crypto markets 2. Calculates its own fair probability for Up and Down 3. Places orders at prices that keep the combined cost of Up + Down below $1 4. Manages the unhedged portion of the position 5. Keeps directional exposure when its model identifies one outcome as undervalued This guy’s Polymarket account: Using this strategy, he captures a small edge, repeats it thousands of times, and steadily grows his deposit

VALIX

86,634 views • 3 months ago

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

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 views • 1 month ago

This guy built an HFT algorithm on Polymarket that trades markets with an average trade size of $60 Result: +$254,000 His bot trades short-term crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and volatility harvesting: 1. It finds mispricing using its own model It receives spot/perp data for the underlying asset and constantly compares it with prices on Polymarket The model also analyzes volatility, momentum, acceleration, and order-flow imbalance, then buys when it detects mispricing 2. When the signal reverses, it starts accumulating the opposite side as a hedge If the underlying asset changes direction, it starts buying the opposite outcome. This reduces its net directional exposure If both sides can be bought cheaply enough, part of the position turns into complete sets His Polymarket nickname: antsaslyku Follow this account and trade on Polymarket through this app: The main edge of this guy’s algorithm comes from identifying the stronger outcome and properly managing its open positions

This guy built an HFT algorithm on Polymarket that trades markets with an average trade size of $60 Result: +$254,000 His bot trades short-term crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and volatility harvesting: 1. It finds mispricing using its own model It receives spot/perp data for the underlying asset and constantly compares it with prices on Polymarket The model also analyzes volatility, momentum, acceleration, and order-flow imbalance, then buys when it detects mispricing 2. When the signal reverses, it starts accumulating the opposite side as a hedge If the underlying asset changes direction, it starts buying the opposite outcome. This reduces its net directional exposure If both sides can be bought cheaply enough, part of the position turns into complete sets His Polymarket nickname: antsaslyku Follow this account and trade on Polymarket through this app: The main edge of this guy’s algorithm comes from identifying the stronger outcome and properly managing its open positions

VALIX

28,194 views • 1 month ago

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

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 views • 1 month ago

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

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

62,559 views • 1 month ago

This guy built a trading bot on Polymarket with Claude Result: +$82,949 in 3 months His bot trades crypto Up/Down markets using a strategy with 3 core steps: 1. Places limit orders on Up and Down at the same time 2. Accumulates both outcomes around a combined cost of $1 and locks in part of the profit on pairs bought below $1 3. Leaves a small directional skew on the side his model sees as more likely His Polymarket username: sir-upalot Using this strategy and clean execution, he captures a consistent edge and keeps growing his capital That’s how he turned $14k into $83k

This guy built a trading bot on Polymarket with Claude Result: +$82,949 in 3 months His bot trades crypto Up/Down markets using a strategy with 3 core steps: 1. Places limit orders on Up and Down at the same time 2. Accumulates both outcomes around a combined cost of $1 and locks in part of the profit on pairs bought below $1 3. Leaves a small directional skew on the side his model sees as more likely His Polymarket username: sir-upalot Using this strategy and clean execution, he captures a consistent edge and keeps growing his capital That’s how he turned $14k into $83k

VALIX

52,653 views • 2 months ago

This guy built a trading bot on Polymarket and made +$295,910 His bot trades 5 and 15 minute crypto Up/Down markets using a late-resolution strategy, where most of the position size is deployed when the outcome is getting close to final: 1. It starts with a small directional position At the beginning of each market, it records the reference price and tracks Chainlink TWAP along with external spot/perp feeds During the early stage, it builds a small position. This acts like a probe while the model’s confidence is still relatively low 2. It increases the position as the outcome gets closer to certainty The algorithm constantly recalculates probability. As resolution gets closer, it can estimate more accurately whether the result can still change 3. If the signal changes, it buys the opposite side In 88.2% of markets, it trades only one outcome. In 11.8% of cases, it buys both Up and Down. The opposite side works as a hedge His Polymarket nickname: BoneOhio Follow this account and trade on Polymarket through this app: The main edge of this guy’s HFT algorithm appears during the final minutes of the market. It estimates how close the outcome is to being locked in and concentrates most of its position size where the model sees mispricing

This guy built a trading bot on Polymarket and made +$295,910 His bot trades 5 and 15 minute crypto Up/Down markets using a late-resolution strategy, where most of the position size is deployed when the outcome is getting close to final: 1. It starts with a small directional position At the beginning of each market, it records the reference price and tracks Chainlink TWAP along with external spot/perp feeds During the early stage, it builds a small position. This acts like a probe while the model’s confidence is still relatively low 2. It increases the position as the outcome gets closer to certainty The algorithm constantly recalculates probability. As resolution gets closer, it can estimate more accurately whether the result can still change 3. If the signal changes, it buys the opposite side In 88.2% of markets, it trades only one outcome. In 11.8% of cases, it buys both Up and Down. The opposite side works as a hedge His Polymarket nickname: BoneOhio Follow this account and trade on Polymarket through this app: The main edge of this guy’s HFT algorithm appears during the final minutes of the market. It estimates how close the outcome is to being locked in and concentrates most of its position size where the model sees mispricing

VALIX

96,229 views • 1 month ago