A Mean-Reversion Trading System That Adds to Losing Positions

Summary

The article challenges common trading maxims by arguing that a system should manage a collection of positions rather than rely on a single entry and exit. Its proposed approach treats prices as largely random and favors reacting to deviations from an average instead of trying to forecast near-term trend direction. It suggests taking profits when available, adding exposure to losing positions as prices move farther against the entry, and sometimes holding both long and short positions. A portfolio of orders is managed through entry, exit, volume, and stop or target adjustments.

The text illustrates the argument with examples and a historical trade log, and describes a strategy that combines scaling, hedging, and mean reversion. It argues that position control and automation matter more than directional guessing. However, the approach is presented as an opinionated strategy, not as a general result: the excerpt does not provide a careful risk analysis, and adding to losses can create large exposure if prices continue moving against the position. Its assumptions about eventual reversals and swap income are not guaranteed.

Key ideas

• The author recommends managing a portfolio of simultaneous orders rather than restricting a system to one position.
• The strategy adds to losing positions when price moves farther from an assumed mean.
• It combines profit taking, hedging, and position scaling to respond to price movement.
• The article attributes trading success more to position management than to forecasting direction.
• Scaling into losses can increase exposure substantially if mean reversion does not occur.

Tags

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