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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 underpricedshow more

VALIX

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134,375 views • 4 days ago •via X (Twitter)

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31 Comments

Retard3 days ago

The system is so complex, that's awesome

????3 days ago

Bullshit

The Engineers Workpad3 days ago

BS

BG凡70小白3 days ago

这波套利思路确实有点东西

ArMan3 days ago

@grok is it real?

Indian Equity Investor3 days ago

If an ordinary laymen able to build it then only we can trust these exaggerated advertisement. If anyone build a customized olymarket, then it's truly a winning tool. Otherwise it's just a scam

Trash Mortis3 days ago

1st off Polymarket is not profitable unless your insider trading second off, that vibe coded slop is not tricking anyone bro.

Mordern psychology3 days ago

where is the evidence?

Brjan | AI Builder3 days ago

an HFT bot pulling in that kind of profit is wild, do you think it’s scalable?

Angel 𝔽rAI π²(❖,❖) base.eth3 days ago

Ganas 24 operaciones 1 con una sola que pierdas borras 60.

Vasya 1КК3 days ago

It’s just beautiful; I don’t know how to put it into words.

Ayoub Ben3 days ago

@grok is this true

Jay3 days ago

More look like a coronavirus

MahFuz MunNa3 days ago

Awesome!

0xSLEEPY3 days ago

这视频做的好宏大的感觉

Michał Stankiewicz3 days ago

@grok fact check post

Fx24.ir3 days ago

@grok راجع به این توضیح بده

Crio Songo3 days ago

Really impressive result. Starting with tiny average trades and hitting almost half a million profit is insane.

Mo Knows3 days ago

Yes

岩崎美穂3 days ago

そんなに稼げるなんて、理想的な仕事環境だね！私も音楽聴きながらやってみたいな。

Wallchain Community Hub3 days ago

absolute chad printing money with micro trades

Smorty4 days ago

Avg trade $38.62 printing +$489k on 5-min BTC/ETH Up/Down is the tell. Complete-set arb scales when the pin is mechanical.

w3bmast3r3 days ago

absolute click bait

TeRa4Yo2🧩3 days ago

This is fucink bitiful 💠👏😲

babyzah3 days ago

@grok could i make a bot like this

MASA3 days ago

How often does the unhedged tilt get caught offside?

Ueslei Douglas3 days ago

Incrível

Hash3 days ago

@grok where are all these loser AI “influencers” getting their “UI” system videos made

OnlineInvestWatch3 days ago

Awesome!

notgwapo3 days ago

sounds wild, man. that's some serious gains from a $38 move lol. curious how consistent that setup is over time. 🔥

Soph k,3 days ago

This is so true

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

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VALIX

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

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VALIX

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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

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VALIX

36,397 views • 1 month ago

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

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46,302 views • 1 month ago

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VALIX

87,974 views • 1 month ago

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

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This guy built an HFT algorithm on Polymarket that trades markets with an average trade size of $60 Result: +$254,000 His bot trades short-term crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and volatility harvesting: 1. It finds mispricing using its own model It receives spot/perp 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

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28,194 views • 25 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

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

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69,050 views • 1 month ago

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

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

VALIX

86,436 views • 3 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 • 22 days ago

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

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

VALIX

18,729 views • 1 month ago

He used Claude to build a trading bot on Polymarket Result: +$110,343 in 1.5 months His bot trades short-term crypto Up/Down markets, combining a hybrid of 2 components: 1. Temporal arbitrage between Up and Down: the bot accumulates both sides at different moments, trying to get the combined cost below $1 2. Directional residual: when his algorithm gives a strong signal, the bot increases one side and creates a directional skew His Polymarket username: bosona Using this strategy, clean execution, and a strong mathematical model, he turned $20k into $110k

He used Claude to build a trading bot on Polymarket Result: +$110,343 in 1.5 months His bot trades short-term crypto Up/Down markets, combining a hybrid of 2 components: 1. Temporal arbitrage between Up and Down: the bot accumulates both sides at different moments, trying to get the combined cost below $1 2. Directional residual: when his algorithm gives a strong signal, the bot increases one side and creates a directional skew His Polymarket username: bosona Using this strategy, clean execution, and a strong mathematical model, he turned $20k into $110k

VALIX

36,453 views • 2 months ago

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

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

draven

60,523 views • 1 month ago

This guy gave Grok Bot access to Polymarket and it made $2,484 a day The result is already +$250,904 PnL while averaging only $34 per trade and repeating the same Temporal Arb setup 27 times every hour across BTC "Up or Down" markets 6 AI agents work together as one algorithm: 1. They hunt for Up + Down 2¢ locked edge on every complete set 2. The model decides what to buy next and what to leave directional After every BTC move, the agents update fair probability through Bayes: P(A|B) = P(B|A) × P(A) / P(B) - If one side trades below its calculated probability, the bot adds it As the opposite side becomes attractive, it builds complete sets while keeping any remaining exposure directional only while the model still sees an edge This trader’s Polymarket account: almach Most profitable trades: $707 → $2,490 (+$1,782) $1,478 → $3,179 (+$1,701) $408 → $2,011 (+$1,602) The bot keeps repeating the same cycle by using short term BTC volatility to build complete sets below 100¢ while preserving directional exposure when its model still sees an edge

This guy gave Grok Bot access to Polymarket and it made $2,484 a day The result is already +$250,904 PnL while averaging only $34 per trade and repeating the same Temporal Arb setup 27 times every hour across BTC "Up or Down" markets 6 AI agents work together as one algorithm: 1. They hunt for Up + Down 2¢ locked edge on every complete set 2. The model decides what to buy next and what to leave directional After every BTC move, the agents update fair probability through Bayes: P(A|B) = P(B|A) × P(A) / P(B) - If one side trades below its calculated probability, the bot adds it As the opposite side becomes attractive, it builds complete sets while keeping any remaining exposure directional only while the model still sees an edge This trader’s Polymarket account: almach Most profitable trades: $707 → $2,490 (+$1,782) $1,478 → $3,179 (+$1,701) $408 → $2,011 (+$1,602) The bot keeps repeating the same cycle by using short term BTC volatility to build complete sets below 100¢ while preserving directional exposure when its model still sees an edge

Daniro

24,221 views • 29 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

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

62,490 views • 1 month ago

This trader made +$265,478 on Polymarket with his HFT algorithm and a median trade size of $29 His bot trades the microstructure of short-term crypto Up/Down markets, combining late-resolution sniping with hedging Its strategy: 1. Constantly recalculates Up/Down probability based on order book depth, reference price, and spot feeds 2. As the signal gets confirmed, it increases the position: the median first buy is 91¢, while the final buy is 99¢ 3. In 88.2% of markets, it buys only one outcome, while using the opposite side as a hedge when the signal changes It waits for the moment when there is no longer enough time left for the outcome to change, then increases its position in the almost-confirmed side His Polymarket nickname: BoneOhio You can build your own trading bot here: (Trial period available after registration) The main edge of this guy’s algorithm appears closer to resolution, when the outcome is already almost determined, but the winning side can still be bought for 98-99¢ That’s how he steadily grows his capital

This trader made +$265,478 on Polymarket with his HFT algorithm and a median trade size of $29 His bot trades the microstructure of short-term crypto Up/Down markets, combining late-resolution sniping with hedging Its strategy: 1. Constantly recalculates Up/Down probability based on order book depth, reference price, and spot feeds 2. As the signal gets confirmed, it increases the position: the median first buy is 91¢, while the final buy is 99¢ 3. In 88.2% of markets, it buys only one outcome, while using the opposite side as a hedge when the signal changes It waits for the moment when there is no longer enough time left for the outcome to change, then increases its position in the almost-confirmed side His Polymarket nickname: BoneOhio You can build your own trading bot here: (Trial period available after registration) The main edge of this guy’s algorithm appears closer to resolution, when the outcome is already almost determined, but the winning side can still be bought for 98-99¢ That’s how he steadily grows his capital

VALIX

44,885 views • 1 month ago

He built a trading bot on Polymarket with Claude Result: +$198,045 in 4 months His bot trades the microstructure of short-term crypto Up/Down markets using a hybrid high-frequency strategy with 3 core elements: 1. Builds a directional position by choosing the Up or Down outcome that is currently undervalued relative to his model 2. If the market movement changes, it starts buying the opposite side as a hedge or to flip the position 3. If it sees an arbitrage opportunity, it builds a full set of Up and Down His Polymarket account: Using this strategy, he captures a consistent edge and repeats it thousands of times That’s how he keeps growing his capital

He built a trading bot on Polymarket with Claude Result: +$198,045 in 4 months His bot trades the microstructure of short-term crypto Up/Down markets using a hybrid high-frequency strategy with 3 core elements: 1. Builds a directional position by choosing the Up or Down outcome that is currently undervalued relative to his model 2. If the market movement changes, it starts buying the opposite side as a hedge or to flip the position 3. If it sees an arbitrage opportunity, it builds a full set of Up and Down His Polymarket account: Using this strategy, he captures a consistent edge and repeats it thousands of times That’s how he keeps growing his capital

VALIX

28,577 views • 1 month ago