Moving Average Crossover Entries with ATR-Based Risk Levels

Summary

This strategy uses a 9-period and a 55-period simple moving average to generate directional crossover signals: an upward cross opens a long, and a downward cross is described as a short signal. It also uses a 14-period ATR to set volatility-scaled risk levels and specifies a risk-reward ratio of two to one. The document presents the method as a simple, adjustable trend-following framework.

The source code, however, only submits a long entry and an exit linked to that entry; it does not implement the described short trade. Its stop and profit order arguments also appear to use price levels where TradingView expects distances, so the written risk logic may not be realized as stated. The published BTC/USDT futures test spans about a year, but no performance results are included. The text notes crossover lag, false signals in ranging conditions, and sensitivity to moving-average and ATR settings, and suggests testing parameters and filters.

Key ideas

• A short and a long simple moving average provide crossover signals.
• The described framework uses ATR to scale stop and target levels to volatility.
• The source implementation does not appear to enter the described short positions.
• The published test configuration gives no performance outcomes.
• Parameter sensitivity, crossover lag, and false signals in sideways markets are stated risks.

Tags

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