🤖 Profiting from automated trading in prediction markets

🤖 Profiting from automated trading in prediction markets

Background
🔹 A trader uses automated systems to pursue short-term trades in prediction markets
🔹 The method focuses on identifying gaps between the market price and the true probability-based value

Focus
📊 The algorithm uses price data, momentum, volatility and order flow to calculate the probability of each outcome
⚡️ When it spots a price gap, it enters a trade and adjusts its position as conditions change
🔄 Hedging by buying the opposite outcome is also part of the strategy

Implications
💡 Processing and reaction speed can matter a great deal in very short-term trades
⚠️ Reported profits do not guarantee the performance can be repeated in the future

Conclusion
🧐 This example shows that combining probability-driven algorithms, speed and risk management can change the structure of automated trading

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