Railis automated MT4 expert advisor delivering long-term systematic entries with verified performance results

Railis review 2026 performance analysis begins with the core design: a long-term expert advisor for MT4 that opens orders in both directions and manages positions via layered stops and balance checkpoints. In live testing scenarios the focus of Railis has been on structural recovery, with the system creating stop levels when the first level reaches breakeven and subsequently locking profit when thresholds are met. This review examines recorded trade samples, parameter behaviors, and how the algorithm adapts to market trends. What makes Railis unique is its memory of losing trades and its automatic opposite-order logic that attempts to offset losses while setting stop levels tied to per-order balances. The algorithmic flow uses configurable parameters such as Magic Number for order identification, Min Dist (default considerations often near 200 points) to control order spacing, and Min Lots to set initial exposure. Railis tends to perform best in trending environments or during extended ranges where layered entries can be absorbed gradually. Risk management is built around distance-based closures and incremental locking; expected performance characteristics emphasize steady monthly returns with occasional larger recovery sequences. At a $10000 retail price and MT4 deployment, Railis is intended for traders willing to allocate sufficient capital and to tune distance and lot parameters carefully before live use.