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Crypto Swing Trading Algorithm (+29.4% compounding annual return)
PythonQuantConnect
About
This strategy focuses on trading major cryptocurrencies by combining long-term trend filters with structured breakout–retest logic. The system continuously monitors a basket of high-liquidity coins and identifies when market prices transition from bearish to bullish conditions. Once a trend shift is detected, it waits for confirmation through a controlled “retest” process before committing capital.
Risk is managed through position sizing, a cap on simultaneous holdings, and predefined exit conditions that balance profit targets, stop losses, and time-based rules. The use of volatility measures ensures trades are only taken under sufficiently active conditions, while portfolio exposure remains diversified across multiple assets.
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