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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¢,...

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VALIX

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134,819 Aufrufe • vor 1 Monat •via X (Twitter)

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26 Kommentare

Profilbild von baqardie
baqardievor 1 Monat

spam

Profilbild von sonicdr1p
sonicdr1pvor 1 Monat

Never sells, just keeps scooping both sides under $1 and parks the leftover as direction. 50% wr is irrelevant when the pairs are cheap. The sphere is carrying the whole video.

Profilbild von VALIX
VALIXvor 1 Monat

Yeah, that’s true. Win rate really doesn’t matter here because his algorithm builds two-sided positions and captures a consistent micro edge by trading the market’s microstructure

Profilbild von Hasnain Trader
Hasnain Tradervor 1 Monat

@grok audit this?

Profilbild von Trash Mortis
Trash Mortisvor 1 Monat

WHY IS THE UI VIBE CODED

Profilbild von Bill
Billvor 1 Monat

I want to know more

Profilbild von Emeline Hex
Emeline Hexvor 1 Monat

Let's say 10000 of these are running on several stock portfolios.... Where are all those Shares coming from?

Profilbild von VALIX
VALIXvor 1 Monat

What do you mean?

Profilbild von kanu | crypto
kanu | cryptovor 1 Monat

wow..

Profilbild von Blinkydotcom
Blinkydotcomvor 1 Monat

How do u make these

Profilbild von Tradoor0
Tradoor0vor 1 Monat

For the non-quants guys, you can just setup a Tradoor bot btw

Profilbild von X-MafiA
X-MafiAvor 1 Monat

Me!!

Profilbild von Odyssey_Snip
Odyssey_Snipvor 1 Monat

@grok cái này là gì..liệu có spam ko ???

Profilbild von Roman
Romanvor 1 Monat

ai slop?

Profilbild von HARDBASIS
HARDBASISvor 1 Monat

The common thread in every one of these breakdowns is queue position. Two-sided making, volatility harvesting, complete-set accumulation all pay because the book is visible and being early in it is worth money. Strip the queue out of a venue and most of that edge turns back into arithmetic rather than speed.

Profilbild von Quantradin | Learn Agentic Trading
Quantradin | Learn Agentic Tradingvor 1 Monat

thats impressive

Profilbild von I dont know
I dont knowvor 1 Monat

beautiful User Interface with solid functionality is Iron Man. haha

Profilbild von Amit Barnawal
Amit Barnawalvor 1 Monat

What is name of the softwear

Profilbild von kozh ./
kozh ./vor 1 Monat

He is make big profit with it

Profilbild von VALIX
VALIXvor 1 Monat

Yeah, that’s true. But we shouldn’t forget that he likely had significant costs before this to build and test the algorithm

Profilbild von Ahmed musaraf
Ahmed musarafvor 1 Monat

What is this Master

Profilbild von Zealous ₿rass
Zealous ₿rassvor 1 Monat

@grok expanciate pls

Profilbild von Fx Trader
Fx Tradervor 1 Monat

Get Free Tradeify 25K account

Profilbild von Sani Surrati
Sani Surrativor 1 Monat

Crypto

Profilbild von shabbir kabir
shabbir kabirvor 1 Monat

brilliant strategy. is this work design in claude or kimi? do you have the prompt setup?

Profilbild von Vitorinha 🌶️
Vitorinha 🌶️vor 1 Monat

🚀 LOVABLE CRÉDITOS INFINITOS ♾️ Crie sites incríveis sem se preocupar com créditos! Acesso ilimitado para você criar, testar e transformar suas ideias em realidade. 🔥👇.

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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
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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

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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 underpriced

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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

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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

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

VALIX

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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.
0:25

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

60,555 Aufrufe • vor 1 Monat

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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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

17,782 Aufrufe • vor 27 Tagen

This guy built an HFT algorithm on Polymarket with an average trade size of $34.90 Result: +$129,827 Nearly 99% of its volume comes from 5 minute BTC Up/Down markets, where it combines asynchronous pairing, MERGE, and a directional residual: 1. Accumulates both sides of the same market It bought both Up and Down in 79.6% of markets. The median gap between its first purchases of of the two outcomes is 8 seconds It uses price movements within each market to buy both sides at different times and prices 2. Frees up capital through MERGE It merges an equal number of shares from each side of the market For example: 100 Up + 80 Down 80 Up + 80 Down -> MERGE -> $80 If those matched pairs cost less than $1 each, the difference becomes a structural edge regardless of how the market resolves MERGE immediately frees up capital so it can be used again 3. Holds unpaired inventory until resolution In the example above, 20 Up shares remain after the MERGE This portion is unhedged and acts as a directional residual Its final pnl therefore depends on the edge from matched pairs, how efficiently it reuses capital, and the performance of its directional residual Its Polymarket account: flippingsharks Stats: > Trades per active hour: 73.18 > Average trade size: $34.90 > Win rate: 50.33% The bot’s main edge comes from a BUY -> pairing -> MERGE cycle: merging matched inventory frees up capital and locks in the edge on pairs bought for less than $1, while the unpaired portion stays directional until resolution
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This guy built an HFT algorithm on Polymarket with an average trade size of $34.90 Result: +$129,827 Nearly 99% of its volume comes from 5 minute BTC Up/Down markets, where it combines asynchronous pairing, MERGE, and a directional residual: 1. Accumulates both sides of the same market It bought both Up and Down in 79.6% of markets. The median gap between its first purchases of of the two outcomes is 8 seconds It uses price movements within each market to buy both sides at different times and prices 2. Frees up capital through MERGE It merges an equal number of shares from each side of the market For example: 100 Up + 80 Down 80 Up + 80 Down -> MERGE -> $80 If those matched pairs cost less than $1 each, the difference becomes a structural edge regardless of how the market resolves MERGE immediately frees up capital so it can be used again 3. Holds unpaired inventory until resolution In the example above, 20 Up shares remain after the MERGE This portion is unhedged and acts as a directional residual Its final pnl therefore depends on the edge from matched pairs, how efficiently it reuses capital, and the performance of its directional residual Its Polymarket account: flippingsharks Stats: > Trades per active hour: 73.18 > Average trade size: $34.90 > Win rate: 50.33% The bot’s main edge comes from a BUY -> pairing -> MERGE cycle: merging matched inventory frees up capital and locks in the edge on pairs bought for less than $1, while the unpaired portion stays directional until resolution

VALIX

22,698 Aufrufe • vor 11 Tagen

This guy built an HFT algorithm on Polymarket with an average trade size of $35.88 Result: +$470,883 His algorithm trades short-term crypto Up/Down markets. It combines directional trading and dynamic hedging, while forming complete sets with part of its inventory: 1. Finds undervalued outcomes using its own fair value estimates It factors in the underlying asset’s price relative to the opening price, the time remaining, momentum, volatility, the speed of price movements, and spot/perp data If its model values Up at 65c and the price on Polymarket is 55c, it starts building a position 2. Buys the opposite side when the market changes direction If the underlying asset reverses direction, it starts buying the opposite outcome to reduce its net directional exposure This hedges part of its existing position 3. Turns the hedge into a complete set If each matched Up + Down pair costs less than $1, that portion of the position has a structural edge regardless of how the market resolves It keeps the unpaired remainder as a directional residual on the side its model considers undervalued Its Polymarket account: mo-money You can build your own trading bot here: (A trial is available after signing up) The bot’s main edge comes from a combination of fair-value entry and dynamic hedging: it first builds a position in an undervalued outcome, then uses the opposite side to reduce exposure or form a complete set
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This guy built an HFT algorithm on Polymarket with an average trade size of $35.88 Result: +$470,883 His algorithm trades short-term crypto Up/Down markets. It combines directional trading and dynamic hedging, while forming complete sets with part of its inventory: 1. Finds undervalued outcomes using its own fair value estimates It factors in the underlying asset’s price relative to the opening price, the time remaining, momentum, volatility, the speed of price movements, and spot/perp data If its model values Up at 65c and the price on Polymarket is 55c, it starts building a position 2. Buys the opposite side when the market changes direction If the underlying asset reverses direction, it starts buying the opposite outcome to reduce its net directional exposure This hedges part of its existing position 3. Turns the hedge into a complete set If each matched Up + Down pair costs less than $1, that portion of the position has a structural edge regardless of how the market resolves It keeps the unpaired remainder as a directional residual on the side its model considers undervalued Its Polymarket account: mo-money You can build your own trading bot here: (A trial is available after signing up) The bot’s main edge comes from a combination of fair-value entry and dynamic hedging: it first builds a position in an undervalued outcome, then uses the opposite side to reduce exposure or form a complete set

VALIX

84,459 Aufrufe • vor 9 Tagen

He built a trading bot on Polymarket with Claude Result: +$154,263 in 2 months His bot trades short-term crypto Up/Down markets using a high-frequency algorithm built around 3 elements: 1. Uses limit orders 2. Identifies market direction with its own probability model 3. Buys both sides of the market to manage directional exposure His Polymarket username: std0 Using directional trading, partial market making, and clean execution, he consistently grows his capital
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He built a trading bot on Polymarket with Claude Result: +$154,263 in 2 months His bot trades short-term crypto Up/Down markets using a high-frequency algorithm built around 3 elements: 1. Uses limit orders 2. Identifies market direction with its own probability model 3. Buys both sides of the market to manage directional exposure His Polymarket username: std0 Using directional trading, partial market making, and clean execution, he consistently grows his capital

VALIX

32,244 Aufrufe • vor 2 Monaten

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange
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This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

VALIX

98,892 Aufrufe • vor 4 Monaten

This guy built a trading bot with Claude and made $671,000 on Polymarket His bot trades Up/Down markets at high frequency and combines asynchronous two-sided arbitrage with short-term directional trading His Polymarket account: His strategy is simple: > Places limit orders on both sides of crypto markets > Buys Up and Down one after another when each side temporarily becomes undervalued > At the same time, keeps a directional skew toward the side his model sees as more likely Using this strategy, he captures a consistent edge, repeats it thousands of times, and keeps growing his capital
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This guy built a trading bot with Claude and made $671,000 on Polymarket His bot trades Up/Down markets at high frequency and combines asynchronous two-sided arbitrage with short-term directional trading His Polymarket account: His strategy is simple: > Places limit orders on both sides of crypto markets > Buys Up and Down one after another when each side temporarily becomes undervalued > At the same time, keeps a directional skew toward the side his model sees as more likely Using this strategy, he captures a consistent edge, repeats it thousands of times, and keeps growing his capital

VALIX

21,839 Aufrufe • vor 2 Monaten

He used Claude to build a trading bot on Polymarket Result: +$162,512 in 3 months His bot trades the microstructure of crypto Up/Down markets, using a hybrid of 3 elements: 1. Uses limit orders 2. Buys opposite outcomes at different moments so that Up + Down is below $1 3. When his algorithm gives a strong signal, it builds a directional position by overweighting one side His Polymarket username: gansinimen Using this strategy and clean execution, he made +$162k with an average buy size of $33
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He used Claude to build a trading bot on Polymarket Result: +$162,512 in 3 months His bot trades the microstructure of crypto Up/Down markets, using a hybrid of 3 elements: 1. Uses limit orders 2. Buys opposite outcomes at different moments so that Up + Down is below $1 3. When his algorithm gives a strong signal, it builds a directional position by overweighting one side His Polymarket username: gansinimen Using this strategy and clean execution, he made +$162k with an average buy size of $33

VALIX

47,336 Aufrufe • vor 2 Monaten

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
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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

370,823 Aufrufe • vor 1 Monat