Building an NRTR Reversal Trading System with Hedging and Risk Controls
Summary
This article describes an MQL5 expert advisor built around the Nick Rypock Trailing Reverse channel. The channel uses an Average True Range calculation and a configurable multiplier to define volatility-adaptive support levels. A transition to rising support triggers a buy, while a transition to falling support triggers a sell, framing the entries as trend-following responses to potential reversals. Hedging can allow opposing positions, and a configurable position cap limits the number of open trades.
The implementation outline includes fixed or automatically calculated position sizes based on balance, equity, or free margin; fixed-point or ATR-based stop-loss and take-profit settings; and trailing or virtual closure routines. The article says the program was compiled and backtested, but the supplied text includes no backtest report values or test details sufficient to assess performance. It presents a customizable EA framework, not evidence that the NRTR rules are profitable. The author cautions that the system is educational and that live trading can incur losses.
Key ideas
- The NRTR channel uses ATR-scaled boundaries to adapt support levels to volatility.
- New upward support transitions trigger long entries, while downward transitions trigger short entries.
- The EA includes optional hedging and a cap on open positions.
- Position sizing can be fixed or based on balance, equity, or free margin.
- Stops, targets, and trailing behavior can use fixed points or volatility-related settings.
- The article provides no numerical backtest results in the supplied text.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.