SMA Crossover with Ichimoku Cloud and Volume Filters

Summary

This document presents a two-sided Bitcoin strategy that combines short- and long-period simple moving average crossovers with Ichimoku cloud and volume filters. A bullish crossover qualifies only when price is above both displaced cloud spans and volume exceeds its moving average; bearish signals apply the inverse price condition. The example settings specify 14- and 21-period SMAs, a 20-period volume average, and standard Ichimoku component lengths. The published test configuration uses BTC-USDT futures over a short January 2024 interval.

The filters are intended to screen crossover signals for trend context and trading activity. The document discusses lag, false signals, volume distortion, and the need for market-specific parameter choices, and suggests stop rules and further testing as possible refinements. It provides no measured backtest results, so its claims of reliability are not substantiated by reported performance evidence. The source displays long and short entries, but does not specify separate position sizing or an explicit stop-loss process.

Key ideas

• SMA crossovers provide the base long and short signals.
• Price relative to both displaced Ichimoku cloud spans filters those signals by trend context.
• A volume condition requires activity to exceed its moving average before entry.
• The example combines 14- and 21-period SMAs with Ichimoku and volume settings.
• The document identifies lag and parameter sensitivity but reports no quantified strategy performance.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.