Multi-Timeframe Crypto Pullback Trading with SMA Filters
Summary
This strategy describes long entries in Bitcoin, Binance Coin, and Ethereum during pullbacks within an uptrend, using hourly through four-hour charts. A long-period simple moving average defines the broader trend, while a shorter average helps identify price dips. The rules seek prices above the longer average but below the shorter one, then filter the pullback by its depth before entering. The described exit is a move back above the shorter average or a stop loss.
The document supplies example moving-average and pullback-filter settings, plus a published backtest configuration for Bitcoin futures. It gives no performance results, so the configuration does not establish profitability. It also notes sensitivity to parameter choices, false signals from short-term noise, reversal risk, slippage, and trading costs. The narrative mentions candlestick and oversold confirmations, but the provided strategy rules do not implement those checks. Backtesting and risk assessment are needed before use.
Key ideas
- A long-period SMA is used to identify the prevailing uptrend.
- Potential long entries occur on filtered pullbacks below a shorter SMA while price remains above the longer SMA.
- Pullback depth filters are intended to exclude retracements considered too shallow or too deep.
- The stated exits are a return above the shorter SMA or a stop loss.
- Parameter sensitivity, false signals, trend reversals, slippage, and costs are material limitations.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.