Indicators
McGinley Dynamic Indicator Explained
How the McGinley Dynamic self-adjusts to never separate far from price, avoiding the whipsaws of fixed moving averages, in Setup.Cash.
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John McGinley designed the McGinley Dynamic to fix the core flaw of moving averages: they're calibrated for one speed of market, then the market changes speed. His line includes a self-adjustment factor that accelerates in fast markets and brakes in slow ones — so it hugs price without being outrun.
How It Works
- A dynamic smoothing factor divides by the ratio of price to the line, raised to the 4th power.
- When price races away, the divisor shrinks and the line speeds up to follow.
- In quiet markets it slows down, smoothing more instead of wandering.
How to Trade It
Traders use the McGinley Dynamic exactly like an EMA — price crosses, slope filters, pullback levels — but with noticeably fewer 'the market gapped and the average took ten bars to notice' failures. It's a drop-in EMA replacement worth A/B testing in any existing system.
Building It in Setup.Cash
Add McGinley Dynamic in the strategy builder — the length input controls its sensitivity — and use its value in any entry, exit, or filter condition. You can also combine it with other tools in the Indicators Lab or via the AI indicator generator. Compare with VIDYA and KAMA. For the full category overview, see the advanced trend library guide.
Trend tools reward patience: pick one, pair it with a volatility or regime filter, and backtest before trading it live.
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Use Setup.Cash to create, backtest, and paper trade rule-based strategies without relying on guesswork. Not financial advice. Trading involves risk.