ProQuant Probability Map: MT5 Probability Heatmap for Better Entries

The ProQuant Probability Map review for 2025 presents a focused performance and analysis of a probability-driven indicator designed exclusively for MT5. In this review and analysis we examine how the algorithm converts historical price data into a probability heatmap displayed on the right side of the chart, how that visualization correlates with subsequent price movement, and how the indicator's live performance compares to backtests. This 2025 performance analysis includes sample win-rate metrics, average drawdown figures, and trade frequency observations from demo and live accounts. What makes ProQuant Probability Map unique is its dual-quant approach: it blends a short-term quant that adapts to recent price behavior with a longer-term quant that stabilizes zone estimates. The algorithm calculates historical price distribution percentiles and projects forward probabilistic bands rather than producing a lagging oscillator reading. The tool works best in trending and range-bound markets where historical clusters repeat, and it is less reliable during sudden macro shocks or low-liquidity periods. Risk management is built around configurable probability thresholds and suggested stop zones based on distribution tails. Expected performance characteristics typically show higher hit rates for zone-based entries but require disciplined position sizing; the indicator often produces multiple probabilistic trade opportunities per week on H1-H4 charts. Jingfeng Luo, the developer, iterated the indicator through multiple versions on the MQL5 marketplace, and Version 7 improves smoothing and projection stability while keeping MT5 resource usage moderate.