The methodology presented here enhances technical analysis by integrating advanced volume insights with machine learning. It leverages calculus-based volume derivatives and LSTM neural networks, offering a modern analytical framework that surpasses conventional approaches. The significance of volume as a market activity indicator is explored, focusing on how derivative calculations and neural network predictions can preempt price movements. This system emphasizes volume dynamics over price data, allowing for early trend detection and market reversals. Risk management is prioritized, incorporating strict loss limits and dynamic stops, making it adaptable to varying market conditions. Thorough backtesting and parameter tuning are essential prior to implementation.
#MQL5 #MT5 #AlgoTrading #VolumeAnalysis

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