Dual Moving Average Pullback Entries with Overbought and Oversold Filters
Summary
This document outlines a long-only pullback strategy using a long-period and a short-period simple moving average. It describes the long average as a broad trend reference and the short average as a measure of nearer-term movement. The stated entry condition looks for price above the long average but below the short average, subject to additional limits on the gap between the averages. The source includes default lengths of 280 and 13, plus a stop-loss input, and gives BTC/USDT futures backtest settings covering roughly one year on a daily chart.
The exit rules in the source close a position when price rises above the short average while falling below the prior bar’s low, or when the configured loss threshold is exceeded. The prose also discusses overbought and oversold filters, though their role is not clearly represented in the code. No backtest results or performance measures are supplied. The document flags mistimed pullbacks, slow responses to trend changes, and poor parameter choices as risks; it suggests volume, volatility, position sizing, and alternative stop methods for further study.
Key ideas
- The strategy uses a long simple moving average for trend context and a shorter one to identify pullback conditions.
- Its source enters long when price is above the long average and below the short average, subject to gap constraints.
- Exits use a price condition involving the short average and prior bar, or a configured stop-loss threshold.
- The prose mentions overbought and oversold filters, but their implementation is not clear in the source.
- The published backtest configuration does not include performance results, so efficacy cannot be assessed from this document.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.