# Пов'язані статті щодо Quant

Making a Profit of $100,000 from 'Mosquito Meat' with 170 High-Frequency Trades per Day?

A quantitative trading bot, planktonXD, generated over $106,000 in profit on Polymarket within a year by executing more than 61,000 predictions—averaging 170 trades per day. Instead of betting on high-risk "black swan" events, it employed a high-frequency market-making and arbitrage strategy, focusing on small, consistent gains with minimal drawdowns. The bot capitalized on mispriced odds in low-liquidity markets—such as regional esports matches and crypto price predictions—by placing tiny bets on highly improbable outcomes that were statistically undervalued. For example, it achieved returns as high as 23,750% on a VALORANT match and 9,285% on a SOL price prediction by buying nearly worthless shares that surged during market panics or emotional mispricings. Key takeaways include the power of compounding small gains, the necessity of automated tools and API access, and the importance of probability management over high-risk bets. The strategy highlights that success in prediction markets lies not in forecasting outcomes, but in exploiting liquidity gaps and probabilistic edges.

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