Market Scoring System: Automated MT5 Trading with Verified Results and Multi-Timeframe Signals

This Market Scoring System review for 2025 provides a focused performance analysis and practical evaluation of how the indicator behaves in live and demo conditions. The Market Scoring System combines conventional technical inputs with machine learning patterns and a scoring layer, and this review highlights that combination with verified results and observed trade behavior. The first-paragraph analysis shows how the scoring engine weights trend, range, and uncertainty to prioritize signals and reduce noise. Results presented in live sample accounts show consistent signal clarity and measurable trade metrics over three months of testing. What makes Market Scoring System unique is the explicit scoring methodology that produces a numeric probability for each potential trade rather than a binary buy or sell. The algorithm evaluates 25 recent candles, calculates trend and range metrics, estimates uncertainty, and overlays pattern recognition learned from historical data. That layered approach means the indicator performs best in trending and structured range conditions while de-emphasizing trades in highly erratic markets. Risk management is built into signal thresholds and recommended stop and position sizing guidance, although users must still apply account-level risk controls. Expected performance characteristics include moderate trade frequency, win rates in the mid-to-high 50s percent range in backtests, and controlled drawdowns near single-digit percentages on well-sized accounts. The Market Scoring System is designed for MT5 and integrates visually on charts for quick decision making.