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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 positionsshow more

VALIX

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99,514 views • 2 months ago •via X (Twitter)

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25 Comments

MCO Global2 months ago

my entire timeline is starting to feel a bit strange with all of these ai gen visuals

CryptoNinjas2 months ago

Managing inventory risk at that scale is impressive, especially with such small trade sizes.

VALIX2 months ago

Yes, it all comes down to his mathematical model

Meh2 months ago

Wallet, or it never happened.

Dze Gbn🐐2 months ago

Not free with money

Martin Petter2 months ago

@grok funktioniert es tatsächlich?

biektropic2 months ago

$40 trades become serious when the edge survives thousands of them

Ha Nguyen2 months ago

What? Please tell with me

Globalist Destroyer2 months ago

#Polymarket=bullshit

ElonSuxGewDiq2 months ago

@grol how real is this?

SHIFT2 months ago

The impressive part isn't the $40 average trade size. It's the pricing discipline. The bot isn't trying to predict whether BTC goes up or down. It's trying to repeatedly buy mispriced probability, manage inventory, and turn two sides into a near-$1 complete set.

THE KID™2 months ago

94.8c median combined VWAP is a 5 cent edge repeated a few thousand times. Everyone reading this is about to go build the signal half and wonder why it doesn't print.

Sung Jinwoo☀️2 months ago

those visuals are so useless and not necessary but damm... they look so good

SE2 months ago

@DowdEdward

Fluixo2 months ago

dang thats some serious alpha on polymarket

VALIX2 months ago

There are many trading algorithms like this on Polymarket. This is just one example

Manashi | PolymarketGTM2 months ago

Small trades, massive gains. HFT wins on Polymarket.

Discord God2 months ago

Price?

Gabagool 22 Trading Bot2 months ago

consistent fills below fair value is the arbitrage sweet spot. nice work.

ArbPrediction - Prediction Market Arbitrage2 months ago

Complete-set on one book is the clean intra-market version. The one that still sits is the same event on two books. YES on Poly, NO on Kalshi, sum under a dollar. Different crowds, so it doesn't get market-made away in two seconds.

JobSniff2 months ago

Wow this is pretty cool 😎.

Crypto HypeX2 months ago

The interesting part is how the strategy combines passive market making, inventory rebalancing, and complete-set formation instead of relying on directional bets alone. Consistently finding fills below fair value is a fascinating edge for short-term prediction markets.

s1rozha12 months ago

nice work

VALIX2 months ago

Thanks for your support, fam. I’m glad it was useful to you

Iron Mind2 months ago

Wow, I want to build the same algorithm

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

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VALIX

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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

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36,397 views • 2 months ago

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

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VALIX

12,905 views • 2 months ago

This guy built a two-sided trading bot on Polymarket and made $233,695 His algorithm trades short-term crypto Up/Down markets using asynchronous complete-set accumulation and dynamic inventory management: 1. Starts building inventory almost as soon as the market opens Its first purchase occurs a median of 33 seconds after the market opens It keeps buying through most of the trading window. In 5 minute markets, its last purchase occurs a median of 223 seconds after opening 2. Adds the opposite outcome to its position It bought both Up and Down in 88.76% of markets It starts buying the opposite side a median of 35 seconds after its first purchase. It then keeps switching between outcomes as the market reprices 3. Turns most of its inventory into complete sets 89.82% of the shares it buys can be matched into Up + Down pairs The average combined cost of a pair is 96.35c, giving it an edge of 3.65c But this is not pure arbitrage Only 58.66% of two-sided markets ended up with an average combined Up + Down cost below $1. The remaining 10.18% of shares are unpaired, leaving a directional residual Its Polymarket account: norm1e69 You can build your own trading bot here: (A trial is available after signing up) The algorithm’s main edge comes from asynchronous pairing: it keeps switching between Up and Down, matches most of its inventory into complete sets, and retains directional exposure through the unpaired remainder

This guy built a two-sided trading bot on Polymarket and made $233,695 His algorithm trades short-term crypto Up/Down markets using asynchronous complete-set accumulation and dynamic inventory management: 1. Starts building inventory almost as soon as the market opens Its first purchase occurs a median of 33 seconds after the market opens It keeps buying through most of the trading window. In 5 minute markets, its last purchase occurs a median of 223 seconds after opening 2. Adds the opposite outcome to its position It bought both Up and Down in 88.76% of markets It starts buying the opposite side a median of 35 seconds after its first purchase. It then keeps switching between outcomes as the market reprices 3. Turns most of its inventory into complete sets 89.82% of the shares it buys can be matched into Up + Down pairs The average combined cost of a pair is 96.35c, giving it an edge of 3.65c But this is not pure arbitrage Only 58.66% of two-sided markets ended up with an average combined Up + Down cost below $1. The remaining 10.18% of shares are unpaired, leaving a directional residual Its Polymarket account: norm1e69 You can build your own trading bot here: (A trial is available after signing up) The algorithm’s main edge comes from asynchronous pairing: it keeps switching between Up and Down, matches most of its inventory into complete sets, and retains directional exposure through the unpaired remainder

VALIX

179,305 views • 28 days ago

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

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 views • 1 month ago

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

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 views • 1 month ago

This guy built an HFT bot on Polymarket and made +$129,680 The bot trades 5 minute BTC Up/Down markets using complete-set accumulation and a directional residual: 1. Continuously accumulates both sides of each market It places BUY limit orders on both Up and Down and waits for BTC movements to change the outcome prices When one side becomes cheaper, the bot gets fills on that side. As the market reprices, it starts buying the opposite outcome at prices that keep the combined cost of Up and Down below $1 The weighted average cost of its complete sets is 98.43c, giving it an edge of 1.57c 2. Keeps part of the position directional After pairing, about 21.3% of the position value remains as unbalanced inventory. It chooses which outcome to hold based on its model’s signal Its Polymarket account: nagi777 Build your own trading bot here: (A trial is available after signing up) The bot’s main edge comes from two layers: most of its inventory is paired into complete sets costing less than $1, while the remainder is kept as a controlled directional residual

This guy built an HFT bot on Polymarket and made +$129,680 The bot trades 5 minute BTC Up/Down markets using complete-set accumulation and a directional residual: 1. Continuously accumulates both sides of each market It places BUY limit orders on both Up and Down and waits for BTC movements to change the outcome prices When one side becomes cheaper, the bot gets fills on that side. As the market reprices, it starts buying the opposite outcome at prices that keep the combined cost of Up and Down below $1 The weighted average cost of its complete sets is 98.43c, giving it an edge of 1.57c 2. Keeps part of the position directional After pairing, about 21.3% of the position value remains as unbalanced inventory. It chooses which outcome to hold based on its model’s signal Its Polymarket account: nagi777 Build your own trading bot here: (A trial is available after signing up) The bot’s main edge comes from two layers: most of its inventory is paired into complete sets costing less than $1, while the remainder is kept as a controlled directional residual

VALIX

52,531 views • 1 month ago

This guy built a market-making bot and made $355,245 on Polymarket His algorithm trades 5 minute BTC Up/Down markets using complete-set accumulation and inventory rebalancing: 1. Builds complete sets for less than $1 It continuously quotes Up and Down, adjusting its order prices as its fair probability estimates and the order book change Orders on both sides do not have to fill simultaneously. It can buy Up first and Down later It uses this repricing to build complete sets for less than $1. The average cost of a matched Up + Down pair is 96.73c, edge 3.27c 2. Retains a directional residual Approximately 81% of its inventory can be matched into Up + Down pairs. The remaining 19% is kept as a directional residual in line with its model’s signal Its Polymarket account: almach You can build your own trading bot here: (A trial is available after signing up) The main edge of this HFT algorithm comes from accumulating Up and Down at different times, while the small unpaired remainder maintains directional exposure

This guy built a market-making bot and made $355,245 on Polymarket His algorithm trades 5 minute BTC Up/Down markets using complete-set accumulation and inventory rebalancing: 1. Builds complete sets for less than $1 It continuously quotes Up and Down, adjusting its order prices as its fair probability estimates and the order book change Orders on both sides do not have to fill simultaneously. It can buy Up first and Down later It uses this repricing to build complete sets for less than $1. The average cost of a matched Up + Down pair is 96.73c, edge 3.27c 2. Retains a directional residual Approximately 81% of its inventory can be matched into Up + Down pairs. The remaining 19% is kept as a directional residual in line with its model’s signal Its Polymarket account: almach You can build your own trading bot here: (A trial is available after signing up) The main edge of this HFT algorithm comes from accumulating Up and Down at different times, while the small unpaired remainder maintains directional exposure

VALIX

23,014 views • 1 month ago

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

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 views • 29 days 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

69,430 views • 2 months ago

This guy built a trading bot on Polymarket with an average trade size of $9 Result: +$108,248 I analyzed its trades and found that its core strategy is based on dynamically accumulating both outcomes at different points throughout 5 minute BTC Up/Down markets It uses price swings within each market to buy each outcome when it becomes cheaper Here’s what that looks like in practice: > BTC declines sharply > Up falls to 42c, and the bot starts accumulating it > Then BTC rebounds > Down becomes cheaper, and the algorithm buys it at 55c Up + Down = 97c -> 3c edge These paired positions have an average edge of 2.7% But it does not always keep Up and Down perfectly balanced at a 1:1 ratio On top of its paired inventory, the algorithm often keeps a directional residual, which adds extra upside if that outcome wins Its Polymarket account: Jarvisen You can build your own trading bot here: (A trial is available after signing up) Stats: > Trades per active hour: 680 > Average trade size: $9.11 > Win rate: 69% The main edge of this HFT algorithm comes from volatility harvesting: it alternates between accumulating Up and Down, building paired inventory with a combined cost below $1 while keeping a small directional skew toward the cheaper side

This guy built a trading bot on Polymarket with an average trade size of $9 Result: +$108,248 I analyzed its trades and found that its core strategy is based on dynamically accumulating both outcomes at different points throughout 5 minute BTC Up/Down markets It uses price swings within each market to buy each outcome when it becomes cheaper Here’s what that looks like in practice: > BTC declines sharply > Up falls to 42c, and the bot starts accumulating it > Then BTC rebounds > Down becomes cheaper, and the algorithm buys it at 55c Up + Down = 97c -> 3c edge These paired positions have an average edge of 2.7% But it does not always keep Up and Down perfectly balanced at a 1:1 ratio On top of its paired inventory, the algorithm often keeps a directional residual, which adds extra upside if that outcome wins Its Polymarket account: Jarvisen You can build your own trading bot here: (A trial is available after signing up) Stats: > Trades per active hour: 680 > Average trade size: $9.11 > Win rate: 69% The main edge of this HFT algorithm comes from volatility harvesting: it alternates between accumulating Up and Down, building paired inventory with a combined cost below $1 while keeping a small directional skew toward the cheaper side

VALIX

22,562 views • 1 month ago

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

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 views • 18 days 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

372,634 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

62,739 views • 2 months ago

This guy used Grok Bot to build an HFT algorithm on Polymarket Result: +$617,464 over 128 days This algorithm trades 5 minute BTC and ETH Up/Down markets using asynchronous complete-set accumulation, inventory management, and a directional residual Several AI agents work together as one system: 1. Buys both outcomes The median gap between its first trades on each side is 7.5 seconds 2. Uses repricing to lower the combined cost As BTC or ETH moves, it keeps buying Up and Down at different prices to bring their combined average cost below $1: VWAP(Up) + VWAP(Down) Edge 2.07c 3. Keeps a directional residual The median ratio of the larger position to the smaller one is about 1.44 : 1 The excess shares form a directional position in the outcome its fair value model considers more likely This trader’s Polymarket account: x-MoneyForWhiskas Most profitable trades: $1,038 -> $3,496 (+236.8%) $1,578 -> $4,811 (+204.9%) $1,664 -> $4,233 (+154.5%) The algorithm’s edge has two layers: it builds complete sets for less than $1 per pair and keeps a directional residual alongside them

This guy used Grok Bot to build an HFT algorithm on Polymarket Result: +$617,464 over 128 days This algorithm trades 5 minute BTC and ETH Up/Down markets using asynchronous complete-set accumulation, inventory management, and a directional residual Several AI agents work together as one system: 1. Buys both outcomes The median gap between its first trades on each side is 7.5 seconds 2. Uses repricing to lower the combined cost As BTC or ETH moves, it keeps buying Up and Down at different prices to bring their combined average cost below $1: VWAP(Up) + VWAP(Down) Edge 2.07c 3. Keeps a directional residual The median ratio of the larger position to the smaller one is about 1.44 : 1 The excess shares form a directional position in the outcome its fair value model considers more likely This trader’s Polymarket account: x-MoneyForWhiskas Most profitable trades: $1,038 -> $3,496 (+236.8%) $1,578 -> $4,811 (+204.9%) $1,664 -> $4,233 (+154.5%) The algorithm’s edge has two layers: it builds complete sets for less than $1 per pair and keeps a directional residual alongside them

VALIX

22,106 views • 16 days ago