Previous-Day Breakouts Confirmed by Moving Average Crossovers

Summary

This strategy combines prior-day price levels with moving average signals. It treats a move beyond the previous day's high or low as a breakout, then uses a fast 10-period and slow 30-period moving average crossover to confirm direction. The described approach places a stop and profit target using a fixed risk-to-reward ratio, with the example setting the target distance at four times the stop distance.

The document explains the rationale for combining breakout levels and trend filtering, and proposes waiting for additional candle confirmation, adjusting parameters by market, using volume, or adding machine-learning forecasts. It provides backtest settings for BTC_USDT futures over roughly one year, but no performance results. The source code's entry conditions appear to reverse the prose's stated high/low breakout directions, and its risk calculations are not clearly aligned with the described fixed ratio. The claimed reduction in false signals is therefore not demonstrated; testing implementation details, costs, and market regimes is necessary before drawing conclusions.

Key ideas

• The method combines previous-day highs and lows with fast and slow moving average signals.
• The written rules use moving average alignment to confirm a breakout before entry.
• A fixed stop-to-target ratio is proposed, with an example target four times the stop distance.
• Additional candle confirmation, volume filters, and market-specific parameter tests are suggested.
• The source logic appears inconsistent with the prose, and no backtest performance is reported.

Tags

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