Beginner Level
What Is It?
Trend following is a trading strategy that buys assets rising in price and sells (or shorts) assets falling in price. It seeks to capture sustained directional movements rather than predict turning points. The motto: "Cut losses short, let winners run."
Origin
Trend following has ancient roots in speculation. Modern systematic approaches developed with commodities trading (Dunn, Henry, 1970s). Turtle Traders (Dennis, 1983) demonstrated teachable rules. Managed futures industry built on trend following foundations.
Why It Matters
Trend following provides crisis alpha—positive returns during equity drawdowns when diversification often fails. It works across asset classes and timeframes. Understanding trend dynamics explains momentum factor performance and market behavior.
Intermediate Level
Market Mechanics
Core concept: prices contain information; trends persist due to behavioral biases (herding, anchoring, disposition effect). Entry signals: breakouts, moving average crosses. Exit signals: trailing stops, reversals. Position sizing based on volatility. Diversification across markets reduces risk.
How It Behaves
Trend following experiences long periods of small losses (whipsaws) punctuated by large gains during strong trends. Sharpe ratios are typically 0.5-1.0 with positive skew. Performance varies by market environment—strong trends favor the strategy, choppy markets hurt.
Key Data to Watch
- Moving average slopes and crossovers
- Breakout levels and confirmations
- ATR (volatility) for position sizing
- Correlation between positions
- Trend strength indicators (ADX)
- Drawdown and recovery periods
Advanced Level
Institutional Behavior
CTAs (Commodity Trading Advisors) offer trend following to institutions. Systematic hedge funds employ sophisticated variants. Risk parity strategies incorporate trend overlays. Machine learning enhances signal detection. Capacity constraints limit strategy size.
Professional Use Cases
- Managed futures allocation
- Trend overlay on traditional portfolios
- Risk management through crisis alpha
- Multi-asset momentum strategies
- Alternative risk premia harvesting
AI Interpretation in Systems Like Arkhe
- Trend Agent: Identifies trends across timeframes and asset classes
- Risk Agent: Manages position sizes and portfolio heat
- Execution Agent: Implements entries and exits with minimal slippage
Key Takeaways
Trend following is a robust strategy with proven crisis alpha characteristics. Understanding its mechanics, drawdown patterns, and diversification requirements enables effective implementation as standalone or overlay strategy.