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Aegis Quantum Strategy (AQS) is a quantitative trading engine for cryptocurrency markets. Quantitative trading means making buy and sell decisions automatically based on mathematical signals rather than gut feel. AQS layers four types of signals together to decide when and how much to trade. The four layers are: macro sentiment (35% weight), which watches the VIX, a measure of market wide stress, on chain and market structure (40%), which analyzes funding rate crowding and open interest divergence in crypto derivatives, predictive market delta (15%), which tracks momentum from prediction markets, and narrative momentum (10%), which performs real time sentiment analysis. Each layer produces a signal and AQS combines them into a unified score that drives trading decisions. Position sizing uses ATR (Average True Range, a measure of recent price swings) combined with the Kelly Criterion, a formula for bet sizing based on historical win rates. Risk management includes multi tier circuit breakers: VIX based trading halts, maximum drawdown protection, and cooldown periods after losses. An AI predictive engine integrates with large language models, DeepSeek and GPT are named in the source, for short term price direction forecasting. The engine connects to the OKX exchange via API keys, sends notifications via Telegram, and generates an interactive HTML dashboard and visual performance reports. Written in Python, this is a tool for experienced traders or developers experimenting with algorithmic crypto trading. The README notes it is for educational purposes only.