Volatility-Normalised Momentummomentum in units of its own noise
Raw momentum is a trap: a fixed percentage move is enormous in a quiet market and entirely ordinary in a volatile one. A fixed threshold has no idea which regime it is in.
The fix: z = ROC(20) ÷ the 60-bar standard deviation of that ROC. The signal is now measured in units of its own noise. Entry when z crosses the threshold of ±1.5.
Position size scales with 1 ÷ volatility as well, so every signal carries the same risk.
- Category
- Momentum · Statistical
- Timeframe
- M15 primary · M30 secondary
- Suitable pairs
- USDJPY · EURUSD · GBPUSD · AUDUSD · XAUUSD — or a basket of them
- Session
- Signal at the bar close · session-independent
- Indicators / tools
- ROC(20) · rolling 60-bar standard deviation of ROC · ATR(14). Implemented in Pine or Python.
Valid setup
Exact rules
Entry
- ROC(20) = (close[0] ÷ close[−20] − 1) × 100.
- SD = the rolling 60-bar standard deviation of that ROC series.
- z = ROC ÷ SD.
- Long when z crosses above +1.5. Short when z crosses below −1.5.
- Enter at the next bar's open. Position size = account risk ÷ (2 × ATR(14)), then multiplied by the target-volatility scalar.
Stop loss
- Entry ∓ 2 × ATR(14).
- With the volatility-scaled position size this gives constant monetary risk on every trade — which is the entire point of the design.
- Risk 0.5%–1%.
Take profit / exit
- Primary exit: z falls back below +0.5, for a long.
- This is an exit driven by a statistic. Price may still be rising when you leave — that is the design, not a bug. You are trading momentum, not direction.
- Structural reference: 2R. A trailing ATR stop is an optional variant.
Build Volatility-Normalised Momentum
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More from Momentum
Trading carries risk and most retail accounts lose money. Nothing on this page is financial advice or a recommendation to trade. The chart is an illustration of the rules on constructed candles — it is not a record of a trade and not a backtest.
