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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 PnLshow more

VALIX

11,554 subscribers

44,860 просмотров • 1 месяц назад •via X (Twitter)

Наука и технологии Финансы

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Комментарии: 9

Фото профиля かな

かな1 месяц назад

いい一日を

Фото профиля Silas Oliveira

Silas Oliveira1 месяц назад

Que plataforma é essa

Фото профиля Ilgin Osmanoglu

Ilgin Osmanoglu1 месяц назад

😀😀😀

Фото профиля Shark Radar

Shark Radar1 месяц назад

$18.69 avg on a maker grid isn't a wallet you mirror. you're either running the latency stack or you're the inventory filling it.

Фото профиля bappy

bappy1 месяц назад

"High-frequency trading bots on Polymarket demand microsecond precision and zero data exposure. Scaling HFT systems without latency bottlenecks requires a robust on-premise AI engine delivering <150ms execution and zero-byte data leakage."

Фото профиля REIZO

REIZO1 месяц назад

Clever maker grid plus residual tilt. Tiny $18 trades compounding into $88k. Prediction market HFT works

Фото профиля sofi

sofi1 месяц назад

So real

Фото профиля Didijoy

Didijoy1 месяц назад

The two-sided grid plus that leftover directional residual is a pretty smart way to stay in the game without needing to be right on every single market. Most people just try to pick Up or Down and get wrecked on the first reversal — this thing just keeps collecting fills and lets the small leftover inventory do the heavy lifting. $18 average size turning into 88k is the part that actually hits different.

Фото профиля sophia v

sophia v1 месяц назад

Well said!

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This guy built a passive grid bot on Polymarket and made $87,305 His algorithm trades short-term Up/Down markets using a fixed price grid, two-sided accumulation, and a directional residual: 1. Places BUY limit orders on a 10-cent grid 95.2% of its fills occur at price levels spaced 10c apart It provides liquidity at fixed price levels in advance and waits for market repricing to fill its orders 2. Buys the opposite outcome as the market moves It bought both Up and Down in 63.6% of markets The median number of switches between sides is 2 per market In total, 59.8% of all shares can be matched into Up + Down pairs 3. The directional residual provides the main edge Matched Up + Down pairs mainly reduce exposure, while the remaining unpaired shares stay directional In two-sided markets, its larger position was on the right side 53.7% of the time Its Polymarket account: 98euf98a You can build your own trading bot here: (A trial is available after signing up) The algorithm’s main edge comes from a passive 10-cent grid and managing directional skew: paired inventory makes the position safer, while the unpaired remainder retains a small statistical advantage

This guy built a passive grid bot on Polymarket and made $87,305 His algorithm trades short-term Up/Down markets using a fixed price grid, two-sided accumulation, and a directional residual: 1. Places BUY limit orders on a 10-cent grid 95.2% of its fills occur at price levels spaced 10c apart It provides liquidity at fixed price levels in advance and waits for market repricing to fill its orders 2. Buys the opposite outcome as the market moves It bought both Up and Down in 63.6% of markets The median number of switches between sides is 2 per market In total, 59.8% of all shares can be matched into Up + Down pairs 3. The directional residual provides the main edge Matched Up + Down pairs mainly reduce exposure, while the remaining unpaired shares stay directional In two-sided markets, its larger position was on the right side 53.7% of the time Its Polymarket account: 98euf98a You can build your own trading bot here: (A trial is available after signing up) The algorithm’s main edge comes from a passive 10-cent grid and managing directional skew: paired inventory makes the position safer, while the unpaired remainder retains a small statistical advantage

VALIX

39,851 просмотров • 28 дней назад

This guy used Grok Bot to build an asynchronous arbitrage system on Polymarket Result: +$1,340,486 It makes 340 trades per active hour in crypto Up/Down markets, combining market making, pairing, and a directional residual Several Grok Bot AI agents work together as one algorithm, making $7,406 per day: 1. Buys Up and Down at different times It places BUY limit orders on both sides of the market in advance and waits for temporary price dislocations The goal is: Avg Up price + Avg Down price Up price + fees → BUY Up This trader’s Polymarket account: The system’s main edge comes from combining asynchronous pairing with short-term repricing: > It buys each side at different points as the market moves > Locks in an edge on low-cost Up + Down pairs > Keeps additional directional exposure where its model identifies mispricing

This guy used Grok Bot to build an asynchronous arbitrage system on Polymarket Result: +$1,340,486 It makes 340 trades per active hour in crypto Up/Down markets, combining market making, pairing, and a directional residual Several Grok Bot AI agents work together as one algorithm, making $7,406 per day: 1. Buys Up and Down at different times It places BUY limit orders on both sides of the market in advance and waits for temporary price dislocations The goal is: Avg Up price + Avg Down price Up price + fees → BUY Up This trader’s Polymarket account: The system’s main edge comes from combining asynchronous pairing with short-term repricing: > It buys each side at different points as the market moves > Locks in an edge on low-cost Up + Down pairs > Keeps additional directional exposure where its model identifies mispricing

VALIX

11,415 просмотров • 11 дней назад

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

52,595 просмотров • 1 месяц назад

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

78,946 просмотров • 1 месяц назад

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 resolution

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 resolution

VALIX

22,698 просмотров • 1 месяц назад

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 просмотров • 1 месяц назад

This guy built an HFT algorithm on Polymarket with an average trade size of $38.62 Result: +$489,494 The bot trades 5 minute BTC and ETH Up/Down markets using two-sided accumulation, complete sets, and a directional residual: 1. Starts accumulating both sides almost immediately The bot first buys one side and begins buying the opposite outcome almost immediately The median delay between its first Up and Down purchases is 7.5 seconds It then continues accumulating both sides as prices change within the market 2. Builds complete sets below $1 The main goal of the paired inventory is to achieve: VWAP(Up) + VWAP(Down) < $1 Its average combined VWAP is 97.93c, giving it an edge of 2.07c 3. Keeps a directional residual on top of the hedge The bot does not try to maintain a 1:1 balance between Up and Down In paired markets, the median ratio between the larger and smaller sides of its inventory is 1.44× If its fair probability leans more strongly toward Up or Down, the algorithm increases its inventory on that side while keeping the opposite outcome as a hedge leg Its Polymarket account: x-MoneyForWhiskas The bot’s main edge comes from combining complete sets with directional skew: the core position is hedged through Up + Down below $1, while additional inventory remains on the side its model considers underpriced

This guy built an HFT algorithm on Polymarket with an average trade size of $38.62 Result: +$489,494 The bot trades 5 minute BTC and ETH Up/Down markets using two-sided accumulation, complete sets, and a directional residual: 1. Starts accumulating both sides almost immediately The bot first buys one side and begins buying the opposite outcome almost immediately The median delay between its first Up and Down purchases is 7.5 seconds It then continues accumulating both sides as prices change within the market 2. Builds complete sets below $1 The main goal of the paired inventory is to achieve: VWAP(Up) + VWAP(Down) < $1 Its average combined VWAP is 97.93c, giving it an edge of 2.07c 3. Keeps a directional residual on top of the hedge The bot does not try to maintain a 1:1 balance between Up and Down In paired markets, the median ratio between the larger and smaller sides of its inventory is 1.44× If its fair probability leans more strongly toward Up or Down, the algorithm increases its inventory on that side while keeping the opposite outcome as a hedge leg Its Polymarket account: x-MoneyForWhiskas The bot’s main edge comes from combining complete sets with directional skew: the core position is hedged through Up + Down below $1, while additional inventory remains on the side its model considers underpriced

VALIX

142,654 просмотров • 1 месяц назад

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 просмотров • 24 дней назад

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 просмотров • 2 месяцев назад

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 просмотров • 1 месяц назад

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 просмотров • 1 месяц назад

This guy used Grok Bot to build an asynchronous complete-set trading system on Polymarket Result: +$319,430 The system makes 131 trades an hour in short-term crypto Up/Down markets, with an average trade size of $30.58 Several Grok Bot AI agents work together as one algorithm: 1. Builds positions on both sides It bought both Up and Down in 88.76% of markets The median gap between its first trades on each side is 35 seconds It then keeps switching between them as the market reprices, turning directional inventory into matched Up/Down pairs Average cost per pair: > Up + Down before fees = 96.35¢ > Up + Down after taker fees = 98.69¢ > Structural edge = 1.31¢ 2. Builds directional positions Only 58.66% of two-sided markets ended up with an average cost per pair below $1 after fees Some shares remain directional and provide an additional edge Its Polymarket account: norm1e69 The system’s main edge comes from asynchronous pairing: > It uses repricing to turn part of its Up and Down inventory into complete sets It holds the unpaired remainder as a directional position until resolution

This guy used Grok Bot to build an asynchronous complete-set trading system on Polymarket Result: +$319,430 The system makes 131 trades an hour in short-term crypto Up/Down markets, with an average trade size of $30.58 Several Grok Bot AI agents work together as one algorithm: 1. Builds positions on both sides It bought both Up and Down in 88.76% of markets The median gap between its first trades on each side is 35 seconds It then keeps switching between them as the market reprices, turning directional inventory into matched Up/Down pairs Average cost per pair: > Up + Down before fees = 96.35¢ > Up + Down after taker fees = 98.69¢ > Structural edge = 1.31¢ 2. Builds directional positions Only 58.66% of two-sided markets ended up with an average cost per pair below $1 after fees Some shares remain directional and provide an additional edge Its Polymarket account: norm1e69 The system’s main edge comes from asynchronous pairing: > It uses repricing to turn part of its Up and Down inventory into complete sets It holds the unpaired remainder as a directional position until resolution

VALIX

15,972 просмотров • 14 дней назад

This trader built a two-sided inventory bot on Polymarket with an average trade size of $10.51 Result: +$306,781 His algorithm trades 15 minute BTC and ETH Up/Down markets using asynchronous pairing, volatility harvesting, and inventory management: 1. Buys both sides at different times It keeps BUY limit orders open on both sides and waits for the market to move BTC falls -> Up gets cheaper -> it buys Up Then BTC rebounds -> Down gets cheaper -> it buys Down 2. Uses volatility to build complete sets It alternates between buying the two outcomes when their prices dip, using volatility within each market The goal is to buy both outcomes for a combined cost below $1 per pair 3. Keeps a directional residual About 86% of the shares it buys can be matched into Up + Down pairs It holds the remaining shares as a directional position until resolution Its Polymarket account: aswfadq1555 You can build your own trading bot here: (A trial is available after signing up) Stats: > Trades per active hour: 324 > Average trade size: $10.51 > Win rate: 50% The algorithm’s main edge comes from volatility harvesting. It uses market movements to buy Up and Down at different times, then matches part of its inventory into complete sets and keeps the rest directional

This trader built a two-sided inventory bot on Polymarket with an average trade size of $10.51 Result: +$306,781 His algorithm trades 15 minute BTC and ETH Up/Down markets using asynchronous pairing, volatility harvesting, and inventory management: 1. Buys both sides at different times It keeps BUY limit orders open on both sides and waits for the market to move BTC falls -> Up gets cheaper -> it buys Up Then BTC rebounds -> Down gets cheaper -> it buys Down 2. Uses volatility to build complete sets It alternates between buying the two outcomes when their prices dip, using volatility within each market The goal is to buy both outcomes for a combined cost below $1 per pair 3. Keeps a directional residual About 86% of the shares it buys can be matched into Up + Down pairs It holds the remaining shares as a directional position until resolution Its Polymarket account: aswfadq1555 You can build your own trading bot here: (A trial is available after signing up) Stats: > Trades per active hour: 324 > Average trade size: $10.51 > Win rate: 50% The algorithm’s main edge comes from volatility harvesting. It uses market movements to buy Up and Down at different times, then matches part of its inventory into complete sets and keeps the rest directional

VALIX

31,561 просмотров • 28 дней назад

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

99,514 просмотров • 2 месяцев назад

This guy built an HFT algorithm on Polymarket with an average trade size of $10 Result: +$262,402 His bot trades 15-minute BTC/ETH Up/Down markets using a hybrid of two-sided market making, volatility harvesting, and asynchronous complete-set accumulation: 1. It builds positions where Up + Down Buys Up at 42¢, then later buys Down at 53¢ > Complete set = 95¢ -> 5¢ gross edge 2. It leaves a directional residual on top of the paired inventory For example: > Buys 100 Up + 150 Down > 100 Up + 100 Down form complete sets, while the remaining 50 Down maintain directional exposure Around 86% of all purchased shares are part of the paired position, while the remaining inventory acts as the directional layer of the strategy His Polymarket nickname: aswfadq1555 You can build your own trading bot here: (Trial period available after registration) This guy’s stats: > Trades / active hour: 324 > Average trade: $10.51 > Win Rate: 50% The main edge of his HFT algorithm comes from using volatility within 15-minute markets to asynchronously accumulate Up and Down for less than $1. The unmatched remainder is kept as directional exposure Using this strategy and his algorithm, this guy steadily grows his capital

This guy built an HFT algorithm on Polymarket with an average trade size of $10 Result: +$262,402 His bot trades 15-minute BTC/ETH Up/Down markets using a hybrid of two-sided market making, volatility harvesting, and asynchronous complete-set accumulation: 1. It builds positions where Up + Down Buys Up at 42¢, then later buys Down at 53¢ > Complete set = 95¢ -> 5¢ gross edge 2. It leaves a directional residual on top of the paired inventory For example: > Buys 100 Up + 150 Down > 100 Up + 100 Down form complete sets, while the remaining 50 Down maintain directional exposure Around 86% of all purchased shares are part of the paired position, while the remaining inventory acts as the directional layer of the strategy His Polymarket nickname: aswfadq1555 You can build your own trading bot here: (Trial period available after registration) This guy’s stats: > Trades / active hour: 324 > Average trade: $10.51 > Win Rate: 50% The main edge of his HFT algorithm comes from using volatility within 15-minute markets to asynchronously accumulate Up and Down for less than $1. The unmatched remainder is kept as directional exposure Using this strategy and his algorithm, this guy steadily grows his capital

VALIX

135,222 просмотров • 2 месяцев назад

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 просмотров • 2 месяцев назад

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 просмотров • 1 месяц назад

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

69,440 просмотров • 2 месяцев назад

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

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

VALIX

46,302 просмотров • 2 месяцев назад

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

86,712 просмотров • 4 месяцев назад