Systematic Trend Following for Crypto with Python

Trend following is the oldest systematic strategy in finance. The principle is brutally simple: buy what is going up, short what is going down, and cut losses fast. Implementing a proper python algo trading trend system requires discipline in both design and execution.

Entry Signals: Channel Breakout

A Donchian Channel breakout is the classic entry. Go long when price breaks above the 20-day high. Go short when price breaks below the 20-day low. Simple, robust, and time-tested.

df["high_20"] = df["high"].rolling(20).max()\ndf["signal"] = (df["close"] > df["high_20"].shift(1)).astype(int)

ATR-Based Position Sizing

Size your position so that one ATR (Average True Range) of adverse movement equals 1% of equity. This adapts your position to current market volatility and is a core technique in any serious algo trading course.

Trailing Stops

Exit when price retraces a multiple of ATR from the highest point since entry. This lets profits run while protecting against reversals—the hallmark of crypto futures algo trading trend systems.