paul-tudor-jones

Macro trend following rules apply moving-average filters across multiple timeframes to identify trend opportunities in crypto and traditional assets. The framework scans for entries, enforces risk discipline, and formulates a thesis for disciplined execution.

The 200-day moving average filter aligns macro regime signals to validate trend direction. Trend entries trigger only when price structure matches the moving-average framework, filtering out counter-trend trades and reducing false signals.

You can use this trend-following workflow for both crypto and equities. It applies PTJ-inspired trend scanning, entry rules, and risk-first position sizing across macro assets without dependency on asset-specific modifications.

The best way to size positions using a 1% risk model is through a risk-audit step that calculates lot size based on stop distance. This risk-first sizing ensures consistent exposure and repeatable performance across multiple timeframes.

You should not use macro trend-following strategies when market regimes lack clear directional alignment with moving-average filters. Choppy or range-bound conditions violate the trend-scan criteria and increase the risk of stop-outs.