Session-Based Mean-Reversion Grid with Rejection Entries

Summary

AliceTears Grid sets a baseline at the daily or session open and projects price levels above and below it at configurable percentage intervals. Its central entry filter waits for price to cross a grid level and then close back toward the baseline, seeking evidence of rejection before entering a reversal trade. A simpler mode can instead enter on a touch. The described exits target the previous grid level, with optional trailing stops and percentage-based stop losses. Long and short grids can be managed independently, and session controls can close trades before the session ends.

The author presents the system as most appropriate for ranging markets and warns that persistent trends can cause it to accumulate losing countertrend positions. The page offers configuration examples for forex and crypto, plus timezone and session settings, but reports no backtest statistics or independently verified results. Grid spacing, session choice, position accumulation, and exit settings can materially affect risk. The suggested use of stops and date filters is especially relevant because a grid can remain exposed as price moves away from its baseline.

Key ideas

• The grid anchors its levels to the daily or session opening price and spaces them using a percentage step.
• Reversal mode waits for price to breach a grid level and close back toward the baseline before entering.
• The described profit target is the prior grid level, with optional trailing stops and percentage-based stop losses.
• Separate long and short grid logic and session-end trade closures are available.
• The countertrend approach is vulnerable to sustained trends, and the document provides no verified performance results.

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