Signal-to-Noise Ratio and Moving Average Directional Trading

Summary

The strategy calculates a signal-to-noise series from inverse closing prices over a chosen lookback, then smooths that series with a simple moving average. It takes a long position when the prior smoothed value is below the prior signal value, a short position when it is above, and closes when the comparison is equal. A reverse-trading option can invert the directional signals. The listed defaults are a 21-period lookback and seven-period smoothing. The document explains the intended role of smoothing and notes risks from lag, poor parameter choices, and abrupt price moves. It proposes stop losses, position sizing, alternative averages, and additional factors as possible enhancements. A short BTC/USDT futures backtest configuration is provided, but no performance evidence or risk metrics are reported. The stated signal-to-noise formula and its practical interpretation are not supported with empirical analysis, so the strategy’s claimed usefulness remains unverified.

Key ideas

• The signal is derived from the average inverse closing price over a lookback and transformed with a logarithm.
• A simple moving average smooths the signal series before directional comparisons.
• The prior signal and smoothed values determine long, short, or neutral positioning, with an option to reverse direction.
• The document gives parameter defaults and a short futures backtest setup but reports no outcomes.
• Lag, parameter selection, and sharp market moves may undermine signals; added risk controls are suggested.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.