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This Polymarket bot is printing It doesn’t try to predict outcomes It waits for panic and overselling, then buys the opposite side

0xMarioNawfal

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63,781 Aufrufe • vor 7 Monaten •via X (Twitter)

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This guy built a trading bot with Claude and made $127,000 on Polymarket His trading bot makes 196.8 trades per hour and buys markets for $15.6. It trades mispricing on short crypto Up/Down markets with an average entry price of 0.559 His strategy is simple: > Buys with limit orders > Compares current BTC/ETH prices with Polymarket prices and looks for undervalued outcomes > Buys the opposite side as a hedge or to flip the position This guy’s Polymarket account: He captures a consistent micro edge and repeats this hundreds of times, growing his capital

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OpenClaw was printing $600k+ month then it went NEGATIVE overnight. Polymarket quietly removed the 500ms taker delay on crypto markets. No announcement. No warning. Half the bots broke. This one started bleeding. But after that article? It adapted… and now it’s printing again Bot:

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27,587 Aufrufe • vor 5 Monaten

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VALIX

159,128 Aufrufe • vor 5 Tagen

This guy built a trading bot with Claude and made $87,000 on Polymarket His bot trades the microstructure of short-term crypto Up/Down markets using high-frequency scalping, with elements of swing arbitrage and hedged trading His strategy is simple: > Compares the underlying asset price with the price on Polymarket and trades mispricings > First buys one side, then after the price moves, buys the opposite side so that Up + Down stays below $1 > Uses asymmetric sizing: small size on cheap tails, while most of the volume goes into the 60-97c range This guy’s Polymarket account: Using this strategy and clean execution, he turned $19.7k into $87.1k in one month of trading

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VALIX

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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

17,483 Aufrufe • vor 22 Tagen

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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

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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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Polymarket arbitrage — the truth nobody is telling you. Everyone is trying to build this right now. Most won’t get it running. We’ve been running it live — this is what it actually looks like. You don’t predict outcomes. You capture spreads. Fully automated. Running on Solana. Watch the video before this gets crowded.

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