Dual Linear-Regression Crossover with Date-Window Filters

Summary

This strategy compares two linear regression curves calculated from closing prices: a 100-day curve and a 150-day curve. It signals a long position when the shorter curve crosses above the longer one and a short position when it crosses below. The shorter curve is intended to react more quickly to price changes, while the longer curve represents a slower trend measure. The description also discusses restricting trades to a chosen date interval as a way to reduce signals outside the intended period.

The document explains the rationale and limitations but offers no reported performance results. It warns that regression curves can be affected by outliers and lag, while crossovers can generate false signals and excessive trading. Although date-window parameters are listed, the source excerpt does not show logic applying them, so the proposed time filter is not evidenced as active in the implementation. The published example uses BTC/USDT futures data over a stated period; those settings do not establish that the method generalizes or will remain effective.

Key ideas

• The strategy compares 100-day and 150-day linear regression curves of closing prices.
• A cross of the shorter curve above the longer curve signals long, and a downward cross signals short.
• The shorter curve is intended to respond faster than the longer trend measure.
• Outliers, lag, and false crossover signals are identified as limitations.
• Date-window parameters are listed, but their use is not shown in the source excerpt.

Tags

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