NEXA Logistic Regression: Automated MT5 trading on M15 with verified results

This 2026 review of NEXA Logistic Regression examines live and backtested performance with a practical analysis of strengths and limitations. NEXA Logistic Regression is unique because it restricts all calculations to closed bars and couples a simple but robust EMA200 direction filter with a price based logistic regression calculation to decide trade direction. That combination aims to reduce noise and avoid the common repainting issues found in indicator based systems. The developer, Park Seongcheon, designed the EA for MT5 and oriented it toward traders who prefer rule based automated strategies rather than discretionary intervention. The algorithm calculates a logistic regression value on recent closed price bars and requires alignment with the EMA200 to open positions. Because signals are evaluated only at bar close, backtests are reproducible and curve fitting risks are easier to detect. In practice, NEXA Logistic Regression works best in trending to mildly trending intraday markets where M15 swing moves occur without extreme spikes. Risk management is handled through configurable stop loss, lot sizing options and trade filters; the EA does not rely on martingale or grid tactics. Expected performance characteristics include modest trade frequency on M15, a focus on positive expectancy over many trades, and stable behavior under normal market conditions. Traders should run forward tests and small live samples before allocating larger capital to the EA.