Anti Scalping Trader ml delivers automated MT4 scalping protection with reliable performance tracking

This Anti Scalping Trader ml review includes a full 2026 performance analysis and practical observations from live and backtested runs. The core uniqueness of Anti Scalping Trader ml is its explicit anti-scalping thesis: instead of profiting from micro-movements, the algorithm reads daily price action patterns to enter higher probability trades. The developer DMITRII GRIDASOV packages 14 set_files so each pair like EURUSD, GBPJPY or XAUUSD has calibrated parameters that reduce curve-fitting risk. The algorithm monitors price structure, support and resistance context, and filtered momentum to determine entries and exits. Position sizing is dynamic and tied to account equity and a configurable risk percentage, and built-in rules limit simultaneous exposure. Anti Scalping Trader ml performs best in trending or range environments that show clear daily reversal or continuation signals, and it is less effective during fast, news-driven spikes. Risk management is conservative by design with an emphasis on capped drawdown and daily time-based trade limits. Expected performance characteristics show moderate monthly returns with a win rate that can vary by pair; typical live accounts report steady growth rather than explosive gains. For traders on MT4 wanting transparent rules and downloadable set_files for quick testing, Anti Scalping Trader ml provides a practical, disciplined automated approach.