Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

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 setshow more

VALIX

11,533 subscribers

84,459 views • 4 days ago •via X (Twitter)

Finance Education Science & Technology

Anya Rossi• Live Now

Private livecam show

29 Comments

Daniro4 days ago

This guy combines directional trading and dynamic hedging very successfully

VALIX4 days ago

Yes, it’s a very common strategy among trading bots on Polymarket, and this guy has implemented it really well

Wallchain Community Hub4 days ago

small size printing insane numbers

Gabagool 22 Trading Bot4 days ago

Achieving that level of profit from such small average trades means their execution is top-tier. Finding those structural edges by completing sets, combined with dynamic hedging, is a highly effective approach, but it demands serious speed and system stability to scale.

Solana Scout4 days ago

i mean, $470k off $36 average fills is insane

VALIX3 days ago

Yes, but it achieves that result by capturing a small, consistent edge across tens of thousands of trades

Solana Scout3 days ago

yeah the fill size is what makes it real. $36 average means he's actually getting filled, not just posting limit orders into the void. 13k trades at that clip is a real system, not a lucky run

Fapah4 days ago

wild looks

محسن4 days ago

@gorok درباره تصویر توضیح بده

محسن4 days ago

@grok درباره تصویر توضیح بده

Kairo4 days ago

The edge isn’t the $35 trade. It’s buying the cheap side, then using the other side to lock a set under a dollar. The rest is just leftover conviction.

Alex Lee3 days ago

$35 average trades turning into $470k is nasty 😭

Mohamed Alrashedi3 days ago

Be carful this is a SCAM

Deadly Assassin3 days ago

@grok is it true?

MoneyMagnet3 days ago

how do l also get th bot

Kai Lennox3 days ago

$35 average trades adding up to $470k still sounds fake 😭

Larry Pu3 days ago

Amazing

Swift Tun3 days ago

this is crazy AI bullshit, thanks

Barreira Damião3 days ago

Muito claro.

zael3 days ago

@grok כמה עולה לבנות מערכת כזו וכמה עולה להחזיק אותה

An$h3 days ago

$35 trades printing 470k is unhinged

tootooc4 days ago

$35 average size to +$470k is a volume and hedging game, not a directional one. The complete-set part is the clever bit, it locks some inventory into a known payout. Anyone trying to copy it should model fees and slippage first; short-duration markets eat more than people expect.

Enano Loco4 days ago

Me regalan 1 usdt para operar soy nuevo tengo 18 años

Jangra3 days ago

yeah, context switching tax is brutal. i feel it most mid-code — need the ai loop tight or i lose the whole thread. maybe that's why nailing the exact broken step beats blind retry 🫡

Cole4 days ago

kinda love that at that trade size the boring complete-set side probably carries more of the pnl than the directional calls

Dinatale John4 days ago

is it true? @grok ?

Victoria 🤍3 days ago

Well said

swapcherry4 days ago

$470K ON $35 TICKETS LFGGGG

lp77224 days ago

能挣钱的不会公开，公开的绝对挣不到钱

Related Videos

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

132,267 views • 1 month ago

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

77,671 views • 12 days ago

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 views • 1 month 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 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

370,194 views • 1 month ago

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

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

VALIX

44,690 views • 21 days ago

This guy built a trading bot with Claude and made $74,000 on Polymarket His bot trades the microstructure of short-term Up/Down markets through high-frequency accumulation of two-sided positions with directional exposure His strategy has six steps: 1. At the start of each 5-minute market, it records the current Bitcoin or Ethereum price 2. It then tracks the asset’s movement, remaining time, short-term momentum, and volatility 3. Based on this data, it calculates its own fair probability for Up and Down 4. It buys an outcome when the market price appears undervalued 5. If the asset’s price direction changes, the bot may first buy Up and then start buying Down 6. The opposite side partially hedges the accumulated position, while the remaining directional exposure creates the edge This guy’s Polymarket account: Using this strategy, he maintains positive expected value and consistently grows his deposit

This guy built a trading bot with Claude and made $74,000 on Polymarket His bot trades the microstructure of short-term Up/Down markets through high-frequency accumulation of two-sided positions with directional exposure His strategy has six steps: 1. At the start of each 5-minute market, it records the current Bitcoin or Ethereum price 2. It then tracks the asset’s movement, remaining time, short-term momentum, and volatility 3. Based on this data, it calculates its own fair probability for Up and Down 4. It buys an outcome when the market price appears undervalued 5. If the asset’s price direction changes, the bot may first buy Up and then start buying Down 6. The opposite side partially hedges the accumulated position, while the remaining directional exposure creates the edge This guy’s Polymarket account: Using this strategy, he maintains positive expected value and consistently grows his deposit

VALIX

25,607 views • 3 months ago

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

99,249 views • 1 month ago

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

140,839 views • 13 days ago

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

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

VALIX

17,483 views • 22 days ago

This guy built a late-resolution bot on Polymarket and made $98,842 His algorithm almost always waits until the final seconds of 5 minute BTC Up/Down markets before building a directional position: 1. Monitors the market for most of the trading window and enters near resolution 98.2% of its purchases occur in the final minute The median first entry occurs 56 seconds before the market ends For the first four minutes, it tracks BTC’s price movements. It then starts buying its chosen outcome in small amounts 2. Buys the more likely outcome if it still considers it undervalued 89.8% of its fills are at 50c+ More than half of its purchases are at 80c+, and those trades account for 65.9% of its total volume 3. Uses the opposite outcome to adjust net exposure It bought both sides in 29.55% of markets If it holds 100 Up shares and buys 40 Down shares, part of the position becomes hedged, while 60 Up shares remain directional If it then buys another 140 Down shares, its original Up position is fully hedged, and the directional residual shifts to Down Buying the opposite outcome lets it reduce or fully reverse its directional exposure Its Polymarket account: NIULAI4 Stats: > Trades per active hour: 53.89 > Average trade size: $26.56 > Win rate: 81.42% NIULAI4’s main edge comes from late-entry probability trading: it waits for a stronger BTC signal near the end of the market, buys the undervalued outcome, and uses the opposite side to rapidly adjust its exposure if conditions change

This guy built a late-resolution bot on Polymarket and made $98,842 His algorithm almost always waits until the final seconds of 5 minute BTC Up/Down markets before building a directional position: 1. Monitors the market for most of the trading window and enters near resolution 98.2% of its purchases occur in the final minute The median first entry occurs 56 seconds before the market ends For the first four minutes, it tracks BTC’s price movements. It then starts buying its chosen outcome in small amounts 2. Buys the more likely outcome if it still considers it undervalued 89.8% of its fills are at 50c+ More than half of its purchases are at 80c+, and those trades account for 65.9% of its total volume 3. Uses the opposite outcome to adjust net exposure It bought both sides in 29.55% of markets If it holds 100 Up shares and buys 40 Down shares, part of the position becomes hedged, while 60 Up shares remain directional If it then buys another 140 Down shares, its original Up position is fully hedged, and the directional residual shifts to Down Buying the opposite outcome lets it reduce or fully reverse its directional exposure Its Polymarket account: NIULAI4 Stats: > Trades per active hour: 53.89 > Average trade size: $26.56 > Win rate: 81.42% NIULAI4’s main edge comes from late-entry probability trading: it waits for a stronger BTC signal near the end of the market, buys the undervalued outcome, and uses the opposite side to rapidly adjust its exposure if conditions change

VALIX

159,883 views • 5 days ago

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital

VALIX

84,178 views • 1 month ago

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

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

VALIX

50,580 views • 1 month 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 • 2 months 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 • 2 months ago

This guy built an HFT bot on Polymarket with a $50 average trade size Result: +$220,792 His bot trades 5-minute BTC/ETH Up/Down markets using a hybrid of inventory rebalancing, dynamic hedging, and accumulating cheap complete sets: 1. It builds complete sets so that Up + Down costs less than $1 It uses limit orders to buy different sides during different phases of the underlying asset’s movement Average cost of a matched complete set: $0.9387. Edge = 6.13¢ 2. It leaves directional residual on top of the hedged inventory Part of the capital gets a structural edge through pairing, while the rest keeps exposure on the side the algorithm sees as stronger For example: 200 Up + 150 Down 150 Up + 150 Down form complete sets, while the remaining 50 Up stay as a directional position You can build your own trading bot here: (Free trial available after registration) Stats: > Trades / active hour: 284 > Average trade: $49.8 > Win Rate: 50% His Polymarket nickname: hot-garbage This guy’s edge is built on two main layers: he turns most of his inventory into Up + Down < $1, while using the unmatched remainder as a directional position Using this strategy, he captures a consistent edge, repeats it thousands of times, and steadily grows his PnL

This guy built an HFT bot on Polymarket with a $50 average trade size Result: +$220,792 His bot trades 5-minute BTC/ETH Up/Down markets using a hybrid of inventory rebalancing, dynamic hedging, and accumulating cheap complete sets: 1. It builds complete sets so that Up + Down costs less than $1 It uses limit orders to buy different sides during different phases of the underlying asset’s movement Average cost of a matched complete set: $0.9387. Edge = 6.13¢ 2. It leaves directional residual on top of the hedged inventory Part of the capital gets a structural edge through pairing, while the rest keeps exposure on the side the algorithm sees as stronger For example: 200 Up + 150 Down 150 Up + 150 Down form complete sets, while the remaining 50 Up stay as a directional position You can build your own trading bot here: (Free trial available after registration) Stats: > Trades / active hour: 284 > Average trade: $49.8 > Win Rate: 50% His Polymarket nickname: hot-garbage This guy’s edge is built on two main layers: he turns most of his inventory into Up + Down < $1, while using the unmatched remainder as a directional position Using this strategy, he captures a consistent edge, repeats it thousands of times, and steadily grows his PnL

VALIX

87,974 views • 1 month ago

This guy built a trading bot on Polymarket with Claude Result: +$187,955 in 3 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 6 core elements: 1. At the start of each new 5-minute market, it gets the starting BTC price and compares it with the price at the end of the interval 2. Then it uses an external data source and constantly estimates the probability of Up or Down 3. For the calculation, it uses volatility, short-term momentum, price change speed, trading volume, and order imbalance 4. After that, the algorithm compares its own probability estimate with the price on Polymarket and buys the undervalued outcome 5. If BTC reverses, the model starts seeing the opposite outcome as more likely and buys it 6. By the end of the market, it holds a certain amount of both Up and Down, but one side is overweighted, and the final imbalance becomes its directional position His Polymarket username: 0xAAAAA Using this strategy and clean execution, he turned $8.6k into $188k His best trades: $573.85 -> $2,400.00 (+318.23%) $801.35 -> $2,400.00 (+199.49%) $927.26 -> $2,600.00 (+180.39%)

This guy built a trading bot on Polymarket with Claude Result: +$187,955 in 3 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 6 core elements: 1. At the start of each new 5-minute market, it gets the starting BTC price and compares it with the price at the end of the interval 2. Then it uses an external data source and constantly estimates the probability of Up or Down 3. For the calculation, it uses volatility, short-term momentum, price change speed, trading volume, and order imbalance 4. After that, the algorithm compares its own probability estimate with the price on Polymarket and buys the undervalued outcome 5. If BTC reverses, the model starts seeing the opposite outcome as more likely and buys it 6. By the end of the market, it holds a certain amount of both Up and Down, but one side is overweighted, and the final imbalance becomes its directional position His Polymarket username: 0xAAAAA Using this strategy and clean execution, he turned $8.6k into $188k His best trades: $573.85 -> $2,400.00 (+318.23%) $801.35 -> $2,400.00 (+199.49%) $927.26 -> $2,600.00 (+180.39%)

VALIX

13,971 views • 2 months 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 • 2 months ago

He built a trading bot on Polymarket with Claude Result: +$201,827 in 1.5 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 5 core elements: 1. Calculates a fair value for Up and Down, then buys the undervalued outcome 2. To do this, it analyzes the current deviation from the starting price, the order book, short-term momentum, current volatility, and movement speed 3. If the underlying asset starts moving in the opposite direction, it buys the second side 4. Buying the second outcome works either as a hedge or as a way to build a paired position below $1 5. It leaves the unhedged remainder as a directional position if its model sees that outcome as more likely His Polymarket username: mo-money Using this strategy, he captures a consistent edge and keeps growing his capital That’s how he turned $19.7k into $201.8k in 1.5 months of trading His best trades: $151.64 -> $1,322.07 (+771.83%) $225.00 -> $1,749.64 (+677.63%) $222.00 -> $1,376.68 (+520.12%)

He built a trading bot on Polymarket with Claude Result: +$201,827 in 1.5 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 5 core elements: 1. Calculates a fair value for Up and Down, then buys the undervalued outcome 2. To do this, it analyzes the current deviation from the starting price, the order book, short-term momentum, current volatility, and movement speed 3. If the underlying asset starts moving in the opposite direction, it buys the second side 4. Buying the second outcome works either as a hedge or as a way to build a paired position below $1 5. It leaves the unhedged remainder as a directional position if its model sees that outcome as more likely His Polymarket username: mo-money Using this strategy, he captures a consistent edge and keeps growing his capital That’s how he turned $19.7k into $201.8k in 1.5 months of trading His best trades: $151.64 -> $1,322.07 (+771.83%) $225.00 -> $1,749.64 (+677.63%) $222.00 -> $1,376.68 (+520.12%)

VALIX

19,371 views • 2 months 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

86,634 views • 3 months ago