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Jane Street visualization This is what $324K in 25 days actually looks like on Polymarket I started tracking a fresh 15-minute market from the second it opened. The visualization reveals: Bot enters one leg after market opens. Waits for spread dislocation. Enters the opposite side when price shifts. Total... show more

gemchanger

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1,161,830 views • 8 months ago •via X (Twitter)

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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

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

43,283 views • 7 days ago

I activated a bot that market makes on Polymarket and earns passive income from the spread Main function: Market Making In simple terms: The bot automatically places buy orders LOWER and sell orders HIGHER, earning from the difference (spread) > What the bot does: 1. Analyzes the market: - Checks current prices - Calculates optimal spread - Determines order size 2. Places orders 3. Waits for execution 4. Earns from the spread > Repeats the cycle: - Constantly updates orders - Monitors price - Manages position This two markets which I used to market-making:

I activated a bot that market makes on Polymarket and earns passive income from the spread Main function: Market Making In simple terms: The bot automatically places buy orders LOWER and sell orders HIGHER, earning from the difference (spread) > What the bot does: 1. Analyzes the market: - Checks current prices - Calculates optimal spread - Determines order size 2. Places orders 3. Waits for execution 4. Earns from the spread > Repeats the cycle: - Constantly updates orders - Monitors price - Manages position This two markets which I used to market-making:

cryptovcdegen

12,569 views • 7 months 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

16,979 views • 7 days ago

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

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

VALIX

26,313 views • 23 days ago

This guy built a trading bot on Polymarket with Claude Result: +$228,209 in 4 months His bot trades the microstructure of crypto Up/Down markets using a strategy with 5 core elements: 1. Compares the current asset price from external sources with the price on Polymarket 2. Enters a position when his model sees one side is undervalued 3. If the asset’s direction changes, it starts buying the opposite outcome or fully flips the position 4. Constantly rebalances positions based on new information 5. Buying both sides works either as a hedge or as an arbitrage opportunity His Polymarket username: nj23adsknml3 Using high-frequency directional trading with constant position rebalancing, he turned $9.5k into $228k

This guy built a trading bot on Polymarket with Claude Result: +$228,209 in 4 months His bot trades the microstructure of crypto Up/Down markets using a strategy with 5 core elements: 1. Compares the current asset price from external sources with the price on Polymarket 2. Enters a position when his model sees one side is undervalued 3. If the asset’s direction changes, it starts buying the opposite outcome or fully flips the position 4. Constantly rebalances positions based on new information 5. Buying both sides works either as a hedge or as an arbitrage opportunity His Polymarket username: nj23adsknml3 Using high-frequency directional trading with constant position rebalancing, he turned $9.5k into $228k

VALIX

19,104 views • 1 month ago

This trader turned Grok Bot into a Polymarket Market Maker and it made $1,205 a day The result is already +$136,183 PnL with only $41 per average trade while recycling the same setup 20 times every hour across BTC "Up or Down" markets Six AI agents work together as one algorithm: 1. The system looks for Up + Down < 100¢ Instead of entering both sides together, it uses BTC volatility to accumulate them separately For example: Down at 43¢ + Up later at 55¢ = 98¢ total cost (2¢ locked on every complete set) 2. The agents continuously reprice both outcomes The pricing model updates after every BTC move: P(t) = P(t-1) + ΔSignal If one side is trading below the model price, the bot adds it. If the opposite side later offers a better entry, the system shifts inventory toward it and converts part of the position into complete sets This trader’s Polymarket account: Polkadot-Frog 55,427 predictions with a 50% win rate Most profitable trades: $2,876 → $6,330 (+$3,454) $1,576 → $4,898 (+$3,323) $1,806 → $5,126 (+$3,320) The edge comes from continuously changing the position instead of staying committed to the first side it buys

This trader turned Grok Bot into a Polymarket Market Maker and it made $1,205 a day The result is already +$136,183 PnL with only $41 per average trade while recycling the same setup 20 times every hour across BTC "Up or Down" markets Six AI agents work together as one algorithm: 1. The system looks for Up + Down < 100¢ Instead of entering both sides together, it uses BTC volatility to accumulate them separately For example: Down at 43¢ + Up later at 55¢ = 98¢ total cost (2¢ locked on every complete set) 2. The agents continuously reprice both outcomes The pricing model updates after every BTC move: P(t) = P(t-1) + ΔSignal If one side is trading below the model price, the bot adds it. If the opposite side later offers a better entry, the system shifts inventory toward it and converts part of the position into complete sets This trader’s Polymarket account: Polkadot-Frog 55,427 predictions with a 50% win rate Most profitable trades: $2,876 → $6,330 (+$3,454) $1,576 → $4,898 (+$3,323) $1,806 → $5,126 (+$3,320) The edge comes from continuously changing the position instead of staying committed to the first side it buys

Daniro

17,946 views • 21 days ago

He built a trading bot on Polymarket with Claude Result: +$77,123 in 1 month His bot trades the microstructure of short-term crypto Up/Down markets using a hybrid high-frequency strategy with 3 core elements: 1. After a market opens, it chooses a side based on its own probability model and builds the position with limit orders 2. When the underlying asset’s movement changes, it buys the opposite outcome as a hedge or as a reversal 3. Holds the position until the market ends, capturing a consistent edge from the final directional skew His Polymarket account: Using this strategy, he captures a consistent edge and keeps growing his capital

He built a trading bot on Polymarket with Claude Result: +$77,123 in 1 month His bot trades the microstructure of short-term crypto Up/Down markets using a hybrid high-frequency strategy with 3 core elements: 1. After a market opens, it chooses a side based on its own probability model and builds the position with limit orders 2. When the underlying asset’s movement changes, it buys the opposite outcome as a hedge or as a reversal 3. Holds the position until the market ends, capturing a consistent edge from the final directional skew His Polymarket account: Using this strategy, he captures a consistent edge and keeps growing his capital

VALIX

11,216 views • 1 month ago

My Polymarket bot is finished! It’s fully automated, I just run it and let the magic happen. At the start of each "Bitcoin Up or Down" round, the bot only watches the market during the first 2 minutes (configurable). If, during that time, either UP or DOWN drops fast enough, a price drop of at least 15% over 3 seconds (configurable), the bot triggers Leg 1 and immediately buys the side that dumped. After this first buy, the bot will never buy the same side again. Instead, it waits for a hedge opportunity on the opposite side. The hedge (Leg 2) is triggered only when: Leg1 entry price + current opposite ask price auto on [sum=0.95] [move=0.15] [windowMin=2] > shares: number of shares bought each time (for both Leg 1 and Leg 2) > sum: total price threshold that allows the hedge > move: dump threshold (e.g. 0.15 = 15%) > windowMin: number of minutes from the start of the round during which Leg 1 is allowed In this example, I ran: auto on 10 0.95 0.15 4 The bot watched the market for the first 4 minutes and bought 10 DOWN shares at $0.35 after a 17% drop in 3 seconds. A few seconds later, it bought 10 UP shares at $0.56, because: 0.56 + 0.35 = 0.91 < 0.95 That locked in a clean 9% profit. Why limit the strategy to the first 4 minutes of the round? Because early in the cycle, the market still has time to dump further and then stabilize. The closer you get to the end of the round, the lower the probability of seeing large corrective moves. Early on, there’s still time for volatility to play out. You can watch the video, the first order triggers at 2:50, and the second order at 3:02. If you’re interested in the bot, DM me.

My Polymarket bot is finished! It’s fully automated, I just run it and let the magic happen. At the start of each "Bitcoin Up or Down" round, the bot only watches the market during the first 2 minutes (configurable). If, during that time, either UP or DOWN drops fast enough, a price drop of at least 15% over 3 seconds (configurable), the bot triggers Leg 1 and immediately buys the side that dumped. After this first buy, the bot will never buy the same side again. Instead, it waits for a hedge opportunity on the opposite side. The hedge (Leg 2) is triggered only when: Leg1 entry price + current opposite ask price auto on [sum=0.95] [move=0.15] [windowMin=2] > shares: number of shares bought each time (for both Leg 1 and Leg 2) > sum: total price threshold that allows the hedge > move: dump threshold (e.g. 0.15 = 15%) > windowMin: number of minutes from the start of the round during which Leg 1 is allowed In this example, I ran: auto on 10 0.95 0.15 4 The bot watched the market for the first 4 minutes and bought 10 DOWN shares at $0.35 after a 17% drop in 3 seconds. A few seconds later, it bought 10 UP shares at $0.56, because: 0.56 + 0.35 = 0.91 < 0.95 That locked in a clean 9% profit. Why limit the strategy to the first 4 minutes of the round? Because early in the cycle, the market still has time to dump further and then stabilize. The closer you get to the end of the round, the lower the probability of seeing large corrective moves. Early on, there’s still time for volatility to play out. You can watch the video, the first order triggers at 2:50, and the second order at 3:02. If you’re interested in the bot, DM me.

The Smart Ape 🔥

202,898 views • 9 months ago

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

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

131,090 views • 17 days ago

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

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

VALIX

95,756 views • 19 days ago

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

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

VALIX

15,778 views • 1 month ago

This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move

This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move

VALIX

367,581 views • 18 days ago

A Python script pulled $325K from the same price gap over and over. It appears every few seconds. This bot catches it first. I found distinct-baguette buried in a leaderboard. Another crypto bot grinding 15 minute windows. Almost closed the tab. Then I saw the win rate. 80%. That is low for a profitable bot. Way too low. Something was off. Turns out I was looking at it wrong. → Account: This bot does not predict anything. Does not care if BTC goes up or down. Does not read charts. Does not time entries. It just watches one thing: prices that do not add up. Sounds weird until you see the trick. Polymarket 15 minute windows have two sides. YES and NO. One of them always pays $1. So YES + NO should always equal $1. That is just math. But when markets move fast, prices slip. YES at 48 cents. NO at 49 cents. Total: 97 cents. The bot sees this. Buys both sides. Waits. Market closes. One side pays $1. Spent 97 cents. Keeps the 3 cent difference. Does not matter who wins. The script checks Polymarket every few seconds. BTC. SOL. XRP. Anything with volume. The moment prices slip under 99 cents combined, it fires. Three cents per trade. Repeat it tens of thousands of times. That is how you get to $325K. The 80% win rate finally made sense. He is not trying to pick winners. He is locking profit before the bet even resolves. Everyone else bets on outcomes. This bot bets on broken math.

A Python script pulled $325K from the same price gap over and over. It appears every few seconds. This bot catches it first. I found distinct-baguette buried in a leaderboard. Another crypto bot grinding 15 minute windows. Almost closed the tab. Then I saw the win rate. 80%. That is low for a profitable bot. Way too low. Something was off. Turns out I was looking at it wrong. → Account: This bot does not predict anything. Does not care if BTC goes up or down. Does not read charts. Does not time entries. It just watches one thing: prices that do not add up. Sounds weird until you see the trick. Polymarket 15 minute windows have two sides. YES and NO. One of them always pays $1. So YES + NO should always equal $1. That is just math. But when markets move fast, prices slip. YES at 48 cents. NO at 49 cents. Total: 97 cents. The bot sees this. Buys both sides. Waits. Market closes. One side pays $1. Spent 97 cents. Keeps the 3 cent difference. Does not matter who wins. The script checks Polymarket every few seconds. BTC. SOL. XRP. Anything with volume. The moment prices slip under 99 cents combined, it fires. Three cents per trade. Repeat it tens of thousands of times. That is how you get to $325K. The 80% win rate finally made sense. He is not trying to pick winners. He is locking profit before the bet even resolves. Everyone else bets on outcomes. This bot bets on broken math.

Marlow

154,382 views • 8 months ago

This guy built a Quant Resolution model and it made $2,191 a day on Polymarket The result is already +$363,748 PnL in 166 days with only $38 per average trade, repeating the same setup 10 times every hour across BTC “Up or Down” markets Several AI agents can split the workflow between probability, sizing and execution: 1. The model measures how far BTC is from the reference price A simplified version looks like: z = (S - K) / (σ√T) Where: S = current BTC price K = reference price σ = volatility T = time left That z-score is converted into the probability of BTC finishing Up or Down 2. It trades the gap between model probability and Polymarket Model Up = 64% Market Up = 54¢ Edge = 10¢ If the gap is large enough, the system enters As the market catches up to the model estimate, the edge disappears This trader’s Polymarket account: powerwinner Follow this account and trade on Polymarket through this bot: 41,268 predictions with a 51% win rate Most profitable trades: $683 → $3,420 (+$2,737) $396 → $3,040 (+$2,644) $531 → $3,040 (+$2,509) A setup like this can be coordinated with Grok Bot, while external feeds provide live BTC data and execution

This guy built a Quant Resolution model and it made $2,191 a day on Polymarket The result is already +$363,748 PnL in 166 days with only $38 per average trade, repeating the same setup 10 times every hour across BTC “Up or Down” markets Several AI agents can split the workflow between probability, sizing and execution: 1. The model measures how far BTC is from the reference price A simplified version looks like: z = (S - K) / (σ√T) Where: S = current BTC price K = reference price σ = volatility T = time left That z-score is converted into the probability of BTC finishing Up or Down 2. It trades the gap between model probability and Polymarket Model Up = 64% Market Up = 54¢ Edge = 10¢ If the gap is large enough, the system enters As the market catches up to the model estimate, the edge disappears This trader’s Polymarket account: powerwinner Follow this account and trade on Polymarket through this bot: 41,268 predictions with a 51% win rate Most profitable trades: $683 → $3,420 (+$2,737) $396 → $3,040 (+$2,644) $531 → $3,040 (+$2,509) A setup like this can be coordinated with Grok Bot, while external feeds provide live BTC data and execution

Daniro

11,565 views • 10 days ago

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

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

VALIX

27,231 views • 1 month ago

CITADEL HAS STARTED TRADING ON POLYMARKET I’ve been studying wallets that farm crypto markets on Polymarket I found one that looks very institutional wallet 'A1d29' potentially a large hedge fund trader - 8 predictions - $310,000 PNL - huge win rate THE STRATEGY IS WEIRDLY CLEAN 1. Only daily markets (no 15-min noise) 2. The moment the market opens slam a large buy 3. Build a position like it’s being deployed from a fund This wallet trade rarely Only on days when there’s clear info about a move That’s why you see $300k-$400k swings on daily BTC/SOL directions If it goes wrong, they don’t panic sell like retail They do the fund playbook - Split size - Open the opposite side - Unwind / sell into the book This is exactly how big players can shape the tape on thin markets and still get paid I use Bullpen to put this wallet on track, waiting for the next guaranteed entry

CITADEL HAS STARTED TRADING ON POLYMARKET I’ve been studying wallets that farm crypto markets on Polymarket I found one that looks very institutional wallet 'A1d29' potentially a large hedge fund trader - 8 predictions - $310,000 PNL - huge win rate THE STRATEGY IS WEIRDLY CLEAN 1. Only daily markets (no 15-min noise) 2. The moment the market opens slam a large buy 3. Build a position like it’s being deployed from a fund This wallet trade rarely Only on days when there’s clear info about a move That’s why you see $300k-$400k swings on daily BTC/SOL directions If it goes wrong, they don’t panic sell like retail They do the fund playbook - Split size - Open the opposite side - Unwind / sell into the book This is exactly how big players can shape the tape on thin markets and still get paid I use Bullpen to put this wallet on track, waiting for the next guaranteed entry

gavelsv.patron

31,771 views • 7 months ago

How MiroFish helped me make $669/day on Polymarket One week ago I plugged a swarm intelligence engine into my Polymarket bot. It simulates 2,847 digital humans before every trade. The bot watches how they behave, then bets against the real crowd. 338 trades. $4,266 profit. One position returned 1,655% in five minutes. The engine is called MiroFish. It doesn't predict price. It predicts how people will react and on a prediction market, that's the only thing that matters. I feed it market context. It builds a parallel world. Thousands of AI agents argue, form groups, shift opinions. When their consensus diverges from what Polymarket is pricing, the bot enters. 5-minute windows. BTC, ETH, SOL, XRP. I've been running the bot live on What MiroFish actually is: > Built in 10 days by a 20-year-old undergraduate in Beijing using vibe coding > Hit #1 on GitHub's global trending above OpenAI, Google, and Microsoft > Backed by Chen Tianqiao, former richest man in China, who committed $4.1M within 24 hours of seeing one demo > Runs on OASIS by CAMEL-AI with GraphRAG knowledge graphs and Zep Cloud memory The edge is simple. Polymarket is a crowd behavior market. MiroFish is a crowd behavior simulator. Nobody is connecting the two yet.

How MiroFish helped me make $669/day on Polymarket One week ago I plugged a swarm intelligence engine into my Polymarket bot. It simulates 2,847 digital humans before every trade. The bot watches how they behave, then bets against the real crowd. 338 trades. $4,266 profit. One position returned 1,655% in five minutes. The engine is called MiroFish. It doesn't predict price. It predicts how people will react and on a prediction market, that's the only thing that matters. I feed it market context. It builds a parallel world. Thousands of AI agents argue, form groups, shift opinions. When their consensus diverges from what Polymarket is pricing, the bot enters. 5-minute windows. BTC, ETH, SOL, XRP. I've been running the bot live on What MiroFish actually is: > Built in 10 days by a 20-year-old undergraduate in Beijing using vibe coding > Hit #1 on GitHub's global trending above OpenAI, Google, and Microsoft > Backed by Chen Tianqiao, former richest man in China, who committed $4.1M within 24 hours of seeing one demo > Runs on OASIS by CAMEL-AI with GraphRAG knowledge graphs and Zep Cloud memory The edge is simple. Polymarket is a crowd behavior market. MiroFish is a crowd behavior simulator. Nobody is connecting the two yet.

BuBBliK

125,310 views • 6 months ago

One automated wallet made $68K catching price gaps that appear every few seconds. It never predicts direction. It owns both. I found SynthDataDotCo buried in Polymarket's BTC hourly markets. Generic name, generic avatar, grinding the same 1-hour windows over and over. Almost skipped it. → Account: Then I saw the win rate. 99%. On 10,526 markets. That is not trading. That is something else. Turns out I was looking at it wrong. This wallet does not bet on Bitcoin going up or down. Does not care about price action. Does not time anything. It just watches one thing: moments when both sides cost less than a dollar combined. Sounds broken until you see how it works. Polymarket hourly windows have two outcomes. Up and Down. One of them always pays $1. So Up + Down should equal $1. That is just math. But prices slip. Up sits at 64 cents. Down sits at 33 cents. Total: 97 cents. The wallet sees this, buys both sides, and waits. Market closes. One side pays $1. Spent 97 cents. Keeps 3 cents. Does not matter which direction wins. And that is just the floor. As prices swing, it sells whichever side pumps and reloads whichever side dumps. Up hits 72 cents, sold. Down drops to 25 cents, bought. Skimming every move in between. Three months of this. $32 million in volume. A PnL chart that climbs like a staircase. Everyone else is trying to guess where Bitcoin goes next. This wallet made the question irrelevant.

Blaze

31,249 views • 8 months ago

We built the ultimate arbitrage machine. it literally scans every prediction market into one single dashboard: > live tracking for spreads across Polymarket, Kalshi, Drift & 12+ platforms > real-time price feeds from every market > executes both sides in you profit no matter who wins > 24/7 automated scanning > free to use - we only take a cut when you profit while you're reading news and picking sides, this is running in the background. we didn't build a bot. we built infrastructure.

We built the ultimate arbitrage machine. it literally scans every prediction market into one single dashboard: > live tracking for spreads across Polymarket, Kalshi, Drift & 12+ platforms > real-time price feeds from every market > executes both sides in you profit no matter who wins > 24/7 automated scanning > free to use - we only take a cut when you profit while you're reading news and picking sides, this is running in the background. we didn't build a bot. we built infrastructure.

PolyArbiter

354,779 views • 6 months ago

This trader built a trading bot with Claude and made $197,000 on Polymarket His bot makes 167.4 trades per hour or 2.79 trades per minute and combines arbitrage, market making, and scalping on price repricing His strategy is simple: > Tracks live BTC, ETH, SOL, and XRP moves and catches when Polymarket lags > When an imbalance appears in the order book, buys the cheap side > If it sees arbitrage edge, buys the opposite side and turns the position into an arbitrage pair His Polymarket account: Using this strategy, he generates consistent profit and grows his capital

This trader built a trading bot with Claude and made $197,000 on Polymarket His bot makes 167.4 trades per hour or 2.79 trades per minute and combines arbitrage, market making, and scalping on price repricing His strategy is simple: > Tracks live BTC, ETH, SOL, and XRP moves and catches when Polymarket lags > When an imbalance appears in the order book, buys the cheap side > If it sees arbitrage edge, buys the opposite side and turns the position into an arbitrage pair His Polymarket account: Using this strategy, he generates consistent profit and grows his capital

VALIX

82,817 views • 4 months ago