Prodotti pubblicati

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NeuroPrice Navigator
Aleksandr Zavolskov
NeuroPrice Navigator 2.0 — intelligent trading advisor based on the TCNN-LSTM neural network model with an attention mechanism Brief description NeuroPrice Navigator 2.0 is a fully automated trading advisor for MetaTrader 4 that uses a hybrid TCNN-LSTM neural network architecture with a Feature Attention mechanism to predict the direction of price movement and make trading decisions. The advisor trains itself on historical data, adapts to changing market conditions, and is equipped with a built-
KNN Pattern Hunter
Aleksandr Zavolskov
KNN Pattern Hunter 2.0 An automated trading advisor that learns from market history and adapts to volatility changes Short Description KNN Pattern Hunter 2.0 is a fully automated trading robot for MetaTrader 4 built on the K-Nearest Neighbors (KNN) machine learning algorithm. The advisor analyzes historical market patterns and finds the most similar past situations to predict future price movement. The key innovation in version 2.0 is adaptive rolling Z-normalization : the robot continuously rec