Binomial Moving Average Crossover Trend Strategy
Summary
The strategy defines a Binomial Moving Average (BMA) using normalized weights derived from half of a row of binomial coefficients, with greater weight on more recent prices. It compares a fast BMA with a slow BMA: a fast-line crossover above the slow line opens a long position, while a cross below opens a short position. Positions are held until an opposing crossover, making the method a straightforward trend-following system.
The document suggests testing different periods, weighting schemes, filters, stop losses, and position sizing. It gives example fast and slow settings and publishes a one-year BTC/USDT futures backtest configuration, but no performance results. Its claims that BMA smooths noise or improves on conventional averages are not supported by comparative evidence in the text. Like other crossover systems, it may lag at turning points, produce false signals when parameters are poorly chosen, and lose during reversals; the source also uses full positions without an explicit risk-control mechanism.
Key ideas
- BMA weights recent prices using normalized binomial coefficients.
- Fast and slow BMA crossovers trigger long and short entries, with positions held until the opposite signal.
- The document proposes testing periods, weights, filters, stops, and position sizing.
- A BTC/USDT futures backtest configuration is provided without performance statistics.
- Trend reversals, parameter sensitivity, and full-position sizing are identified as risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.