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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...

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VALIX

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28,194 次观看 • 1 个月前 •via X (Twitter)

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This guy built a trading bot on Polymarket with an average trade size of $28.64 Result: +$183,980 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and volatility harvesting: 1. It looks for edge using its own fair-value model The model takes into account distance from the opening price, volatility, momentum, acceleration, order flow, and external spot/perp data It enters a position when it detects mispricing. As the signal gets stronger, it gradually increases its position 2. When the price reverses, it builds a hedge using the opposite outcome If the underlying asset changes direction, it doesn’t sell its existing inventory. Instead, it starts buying the opposite side This turns part of the existing position into a hedge, while its new directional exposure shifts according to the current fair-value estimate You can build your own trading bot here: (Trial period available after registration) This HFT algorithm’s Polymarket nickname: std0 Its main edge comes from constantly repricing probabilities and properly managing its positions
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This guy built a trading bot on Polymarket with an average trade size of $28.64 Result: +$183,980 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and volatility harvesting: 1. It looks for edge using its own fair-value model The model takes into account distance from the opening price, volatility, momentum, acceleration, order flow, and external spot/perp data It enters a position when it detects mispricing. As the signal gets stronger, it gradually increases its position 2. When the price reverses, it builds a hedge using the opposite outcome If the underlying asset changes direction, it doesn’t sell its existing inventory. Instead, it starts buying the opposite side This turns part of the existing position into a hedge, while its new directional exposure shifts according to the current fair-value estimate You can build your own trading bot here: (Trial period available after registration) This HFT algorithm’s Polymarket nickname: std0 Its main edge comes from constantly repricing probabilities and properly managing its positions

VALIX

132,547 次观看 • 1 个月前

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

371,614 次观看 • 1 个月前

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
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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

27,486 次观看 • 1 个月前

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
0:27

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

78,946 次观看 • 1 个月前

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 次观看 • 1 个月前

This guy built an HFT bot on Polymarket with an average trade size of $60 Result: +$222,374 Its bot trades short-term crypto Up/Down markets through a hybrid of directional trading and dynamic hedging: 1. It looks for directional edge through its own fair probability It gets data on the underlying asset from external sources and compares it with the price on Polymarket Its model includes momentum, acceleration, volatility, order-flow imbalance, and time to resolution If it sees an edge, it starts building a position and increases it while the signal remains active 2. When the signal changes, it hedges the position with the opposite outcome If the price movement reverses, the algorithm starts buying the other side This reduces net exposure while also using new price moves to accumulate the second side If it can buy cheap enough, part of the inventory turns into a complete set where Up + Down costs less than $1 3. It keeps a large directional residual In two-sided markets, the median size of the smaller side is only around 36% of the larger side The hedge covers only part of the position, while the main remainder continues working in the direction of its model’s signal His Polymarket nickname: antsaslyku Stats: > Trades / active hour: 132.3 > Average trade: $60.02 > Win Rate: 55% This guy’s main edge is built on a combination of two mechanics: it tries to identify the stronger outcome before the market, and when the signal changes, it turns part of the position into a hedge or a cheap complete set
0:30

This guy built an HFT bot on Polymarket with an average trade size of $60 Result: +$222,374 Its bot trades short-term crypto Up/Down markets through a hybrid of directional trading and dynamic hedging: 1. It looks for directional edge through its own fair probability It gets data on the underlying asset from external sources and compares it with the price on Polymarket Its model includes momentum, acceleration, volatility, order-flow imbalance, and time to resolution If it sees an edge, it starts building a position and increases it while the signal remains active 2. When the signal changes, it hedges the position with the opposite outcome If the price movement reverses, the algorithm starts buying the other side This reduces net exposure while also using new price moves to accumulate the second side If it can buy cheap enough, part of the inventory turns into a complete set where Up + Down costs less than $1 3. It keeps a large directional residual In two-sided markets, the median size of the smaller side is only around 36% of the larger side The hedge covers only part of the position, while the main remainder continues working in the direction of its model’s signal His Polymarket nickname: antsaslyku Stats: > Trades / active hour: 132.3 > Average trade: $60.02 > Win Rate: 55% This guy’s main edge is built on a combination of two mechanics: it tries to identify the stronger outcome before the market, and when the signal changes, it turns part of the position into a hedge or a cheap complete set

VALIX

12,905 次观看 • 2 个月前

This guy built an HFT algorithm on Polymarket with an average trade size of $35.88 Result: +$470,883 His algorithm trades short-term crypto Up/Down markets. It combines directional trading and dynamic hedging, while forming complete sets with part of its inventory: 1. Finds undervalued outcomes using its own fair value estimates It factors in the underlying asset’s price relative to the opening price, the time remaining, momentum, volatility, the speed of price movements, and spot/perp data If its model values Up at 65c and the price on Polymarket is 55c, it starts building a position 2. Buys the opposite side when the market changes direction If the underlying asset reverses direction, it starts buying the opposite outcome to reduce its net directional exposure This hedges part of its existing position 3. Turns the hedge into a complete set If each matched Up + Down pair costs less than $1, that portion of the position has a structural edge regardless of how the market resolves It keeps the unpaired remainder as a directional residual on the side its model considers undervalued Its Polymarket account: mo-money You can build your own trading bot here: (A trial is available after signing up) The bot’s main edge comes from a combination of fair-value entry and dynamic hedging: it first builds a position in an undervalued outcome, then uses the opposite side to reduce exposure or form a complete set
0:25

This guy built an HFT algorithm on Polymarket with an average trade size of $35.88 Result: +$470,883 His algorithm trades short-term crypto Up/Down markets. It combines directional trading and dynamic hedging, while forming complete sets with part of its inventory: 1. Finds undervalued outcomes using its own fair value estimates It factors in the underlying asset’s price relative to the opening price, the time remaining, momentum, volatility, the speed of price movements, and spot/perp data If its model values Up at 65c and the price on Polymarket is 55c, it starts building a position 2. Buys the opposite side when the market changes direction If the underlying asset reverses direction, it starts buying the opposite outcome to reduce its net directional exposure This hedges part of its existing position 3. Turns the hedge into a complete set If each matched Up + Down pair costs less than $1, that portion of the position has a structural edge regardless of how the market resolves It keeps the unpaired remainder as a directional residual on the side its model considers undervalued Its Polymarket account: mo-money You can build your own trading bot here: (A trial is available after signing up) The bot’s main edge comes from a combination of fair-value entry and dynamic hedging: it first builds a position in an undervalued outcome, then uses the opposite side to reduce exposure or form a complete set

VALIX

88,925 次观看 • 22 天前

This guy built an HFT algorithm on Polymarket with an average trade size of $60 and a 55% win rate Result: +$311,667 His bot trades short-term crypto Up/Down markets using a combination of directional trading and dynamic hedging: 1. Looks for mispricing using its model For each market, it records the reference price and uses fast spot/perp feeds to track the underlying asset Its model continuously recalculates outcome probabilities based on price relative to the reference, momentum, acceleration, volatility, time to resolution, and order flow Its signal looks like this: > Model Edge = p_model(outcome) - PM price For example: > p_model(Up) = 67c > Current Up price = 60c Model Edge = 7c As long as this gap remains, it keeps buying that side 2. Uses the opposite outcome to adjust its inventory If the market reverses and its fair probability estimate shifts toward the other side, it often buys the opposite outcome This reduces net exposure and, at favorable prices, can turn part of the position into complete sets costing less than $1 each Matched inventory acts as a hedge, while the remainder stays directional Its Polymarket account: antsaslyku The algorithm uses external price feeds to continuously update its fair probability estimates. Buying the opposite outcome lets it hedge its inventory while continuing to follow its directional signal
0:28

This guy built an HFT algorithm on Polymarket with an average trade size of $60 and a 55% win rate Result: +$311,667 His bot trades short-term crypto Up/Down markets using a combination of directional trading and dynamic hedging: 1. Looks for mispricing using its model For each market, it records the reference price and uses fast spot/perp feeds to track the underlying asset Its model continuously recalculates outcome probabilities based on price relative to the reference, momentum, acceleration, volatility, time to resolution, and order flow Its signal looks like this: > Model Edge = p_model(outcome) - PM price For example: > p_model(Up) = 67c > Current Up price = 60c Model Edge = 7c As long as this gap remains, it keeps buying that side 2. Uses the opposite outcome to adjust its inventory If the market reverses and its fair probability estimate shifts toward the other side, it often buys the opposite outcome This reduces net exposure and, at favorable prices, can turn part of the position into complete sets costing less than $1 each Matched inventory acts as a hedge, while the remainder stays directional Its Polymarket account: antsaslyku The algorithm uses external price feeds to continuously update its fair probability estimates. Buying the opposite outcome lets it hedge its inventory while continuing to follow its directional signal

VALIX

21,850 次观看 • 18 天前

This trader made $132,356 on Polymarket using trading bot, buying markets for $11 His bot trades 5-minute crypto Up/Down markets and combines high-frequency directional trading with dynamic hedging Its strategy is simple: > Finds mispricing with its probability model and buys the outcome where it sees an edge > Increases the position if the signal is confirmed, and partially reduces exposure when the signal weakens > When the underlying asset reverses, it buys the opposite side as a hedge His Polymarket nickname: trinity42 You can build your own trading bot here: (Free trial available after registration) Using its strategy and high-quality execution, this guy turned $2,000 into $132,356 in 4 months of trading
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This trader made $132,356 on Polymarket using trading bot, buying markets for $11 His bot trades 5-minute crypto Up/Down markets and combines high-frequency directional trading with dynamic hedging Its strategy is simple: > Finds mispricing with its probability model and buys the outcome where it sees an edge > Increases the position if the signal is confirmed, and partially reduces exposure when the signal weakens > When the underlying asset reverses, it buys the opposite side as a hedge His Polymarket nickname: trinity42 You can build your own trading bot here: (Free trial available after registration) Using its strategy and high-quality execution, this guy turned $2,000 into $132,356 in 4 months of trading

VALIX

50,580 次观看 • 2 个月前

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

85,048 次观看 • 2 个月前

This guy built an HFT algorithm on Polymarket and made +$304,915 His bot trades 5-minute BTC Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for mispricing using its own fair-value model The model constantly tracks BTC relative to the opening price, momentum, acceleration, and volatility, while comparing PM prices with spot prices from external sources If the price on Polymarket lags behind its fair-value estimate, it starts buying the corresponding outcome 2. When the signal changes, it starts accumulating the opposite side If the underlying asset changes direction, it doesn’t sell the existing position. Instead, it starts buying the opposite outcome The opposite outcome reduces net exposure and works as a dynamic hedge, while the majority of the remaining position stays directional His nickname: 0xAAAAA The signal is generated before the trade even happens: first, the model reads BTC movements on external markets, then uses that data to estimate the probability of Up and Down But if you want to trade the actual BTC/ETH price movement rather than a binary outcome, you can take a look at KCEX: The exchange currently offers zero fees on some spot/perp pairs, as well as 0% fees on the first 100 withdrawals per month across all assets With $1M in trading volume, even a 0.1% fee turns into $1,000 in costs. That’s why zero fees can provide a significant advantage to the edge of any trading strategy
0:26

This guy built an HFT algorithm on Polymarket and made +$304,915 His bot trades 5-minute BTC Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for mispricing using its own fair-value model The model constantly tracks BTC relative to the opening price, momentum, acceleration, and volatility, while comparing PM prices with spot prices from external sources If the price on Polymarket lags behind its fair-value estimate, it starts buying the corresponding outcome 2. When the signal changes, it starts accumulating the opposite side If the underlying asset changes direction, it doesn’t sell the existing position. Instead, it starts buying the opposite outcome The opposite outcome reduces net exposure and works as a dynamic hedge, while the majority of the remaining position stays directional His nickname: 0xAAAAA The signal is generated before the trade even happens: first, the model reads BTC movements on external markets, then uses that data to estimate the probability of Up and Down But if you want to trade the actual BTC/ETH price movement rather than a binary outcome, you can take a look at KCEX: The exchange currently offers zero fees on some spot/perp pairs, as well as 0% fees on the first 100 withdrawals per month across all assets With $1M in trading volume, even a 0.1% fee turns into $1,000 in costs. That’s why zero fees can provide a significant advantage to the edge of any trading strategy

VALIX

39,031 次观看 • 1 个月前

This guy built a trading bot on Polymarket with an average trade size of $72.40 Result: +$196,060 His algorithm trades BTC and ETH markets using directional trading, market making, and dynamic inventory management: 1. Builds a position gradually and manages it as prices change It buys Up or Down in small amounts, then adjusts its position size as the underlying asset’s price changes If the outcome it bought rises in price, it can sell part of its inventory and hold the rest if it still considers that outcome undervalued 2. Uses the opposite side as a hedge or to build complete sets It bought both sides in 71.6% of markets For example: > Up = 32c > Down = 67c > Up + Down = 99c That pair provides a 1c edge regardless of the result It also buys the opposite outcome to hedge or reverse its position 3. Keeps part of its inventory directional If it holds different numbers of shares on each side, the unpaired portion stays open For example: > 200 Up > 130 Down 130 Up + 130 Down form a neutral position. The remaining 70 Up shares stay directional Its Polymarket account: 0xdb5 The algorithm’s main edge comes from a combination of complete sets, hedging, and a directional residual
0:30

This guy built a trading bot on Polymarket with an average trade size of $72.40 Result: +$196,060 His algorithm trades BTC and ETH markets using directional trading, market making, and dynamic inventory management: 1. Builds a position gradually and manages it as prices change It buys Up or Down in small amounts, then adjusts its position size as the underlying asset’s price changes If the outcome it bought rises in price, it can sell part of its inventory and hold the rest if it still considers that outcome undervalued 2. Uses the opposite side as a hedge or to build complete sets It bought both sides in 71.6% of markets For example: > Up = 32c > Down = 67c > Up + Down = 99c That pair provides a 1c edge regardless of the result It also buys the opposite outcome to hedge or reverse its position 3. Keeps part of its inventory directional If it holds different numbers of shares on each side, the unpaired portion stays open For example: > 200 Up > 130 Down 130 Up + 130 Down form a neutral position. The remaining 70 Up shares stay directional Its Polymarket account: 0xdb5 The algorithm’s main edge comes from a combination of complete sets, hedging, and a directional residual

VALIX

24,517 次观看 • 11 天前

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
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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

62,693 次观看 • 2 个月前

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
0:25

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

69,398 次观看 • 1 个月前

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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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

VALIX

44,860 次观看 • 1 个月前

This guy built an asynchronous complete-set bot and made +$111,945 on Polymarket with a 50% win rate I analyzed its trades and found that its main strategy is based on gradually accumulating both sides of the same market In 88.76% of markets, it bought both Up and Down It looks something like this: > First, the bot accumulates one side > After the underlying asset moves, it starts buying the opposite outcome > Then it switches between both sides several times as the market reprices > This way, it tries to build a position where Up + Down < $1 The average cost of these complete sets is 98.69c, which gives an edge of about 1.31c But this is not pure arbitrage. Part of its inventory remains directional, with the side determined by its model’s signal Its Polymarket nickname: norm1e69 The main edge of this trading bot comes from switching between both outcomes to build complete sets below $1, while keeping the unpaired inventory as a directional residual
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This guy built an asynchronous complete-set bot and made +$111,945 on Polymarket with a 50% win rate I analyzed its trades and found that its main strategy is based on gradually accumulating both sides of the same market In 88.76% of markets, it bought both Up and Down It looks something like this: > First, the bot accumulates one side > After the underlying asset moves, it starts buying the opposite outcome > Then it switches between both sides several times as the market reprices > This way, it tries to build a position where Up + Down < $1 The average cost of these complete sets is 98.69c, which gives an edge of about 1.31c But this is not pure arbitrage. Part of its inventory remains directional, with the side determined by its model’s signal Its Polymarket nickname: norm1e69 The main edge of this trading bot comes from switching between both outcomes to build complete sets below $1, while keeping the unpaired inventory as a directional residual

VALIX

17,859 次观看 • 1 个月前

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
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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

96,485 次观看 • 1 个月前

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 次观看 • 5 个月前

This guy built a trading bot on Polymarket with Claude Result: +$143,740 in 3 months His bot trades crypto Up/Down markets using a strategy built around 3 elements: 1. Compares current Polymarket prices with the underlying asset price from external sources 2. Buys the more likely outcome based on his model 3. When market conditions change, hedges the original entry by buying the opposite side His Polymarket username: antsaslyku Using this strategy and clean execution, he captures a consistent edge and repeats it thousands of times That’s how he turned $68k into $143.7k
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This guy built a trading bot on Polymarket with Claude Result: +$143,740 in 3 months His bot trades crypto Up/Down markets using a strategy built around 3 elements: 1. Compares current Polymarket prices with the underlying asset price from external sources 2. Buys the more likely outcome based on his model 3. When market conditions change, hedges the original entry by buying the opposite side His Polymarket username: antsaslyku Using this strategy and clean execution, he captures a consistent edge and repeats it thousands of times That’s how he turned $68k into $143.7k

VALIX

14,753 次观看 • 3 个月前

He built a trading bot on Polymarket with Claude Result: +$810,028 in 3 months His bot trades the microstructure of crypto Up/Down markets using a hybrid strategy with 3 stages: 1. After a market opens, it chooses one side based on its probability model and starts building a position 2. If the asset’s movement changes, it buys the opposite outcome as a hedge 3. If it sees arbitrage, it builds a full set of Up and Down. Otherwise, it keeps the directional skew His Polymarket account: Using this strategy and clean execution, he turned $100k into $810k
0:25

He built a trading bot on Polymarket with Claude Result: +$810,028 in 3 months His bot trades the microstructure of crypto Up/Down markets using a hybrid strategy with 3 stages: 1. After a market opens, it chooses one side based on its probability model and starts building a position 2. If the asset’s movement changes, it buys the opposite outcome as a hedge 3. If it sees arbitrage, it builds a full set of Up and Down. Otherwise, it keeps the directional skew His Polymarket account: Using this strategy and clean execution, he turned $100k into $810k

VALIX

18,729 次观看 • 2 个月前