Multi-Timeframe Moving Average Signals with Flexible Methods
Summary
This strategy compares price with a moving average calculated on a selectable daily, weekly, or monthly timeframe. Users can choose among SMA, EMA, WMA, HMA, and SMMA, as well as the review frequency and moving-average length. Its stated signal rule is to enter long when the comparison price is at or above the average and close a long position when it is below; decisions are made at period boundaries, with positions closed at the end of the backtest.
The document gives no performance results. Published settings identify a BTC/USDT futures backtest spanning late 2019 to late 2024, but the text does not report its returns or risk metrics. The source also raises implementation questions: despite describing crossovers and multiple confirmations, it compares price and average levels, and the stored period-end values may be used at the next period boundary. Fixed percentage sizing can expose the account to substantial risk, while moving-average lag and choppy markets can produce late or repeated signals. Backtesting across assets and parameter choices is advised before live use.
Key ideas
- The strategy offers five moving-average methods and daily, weekly, or monthly calculation timeframes.
- It evaluates price relative to the selected average at configurable period boundaries.
- A price below the average closes a long position, while a price at or above it permits a long entry.
- The published backtest settings concern BTC/USDT futures, but no performance evidence is reported.
- Lag, sideways-market signals, conflicting timeframes, and fixed percentage sizing are cited as risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.