Aleksandr Zavolskov
Aleksandr Zavolskov
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experiência
4
produtos
4
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Aleksandr Zavolskov Produto publicado

NeuroGoldNavigator — Intelligent Gold Market Analysis for MetaTrader 5 NeuroGoldNavigator is an automated trading Expert Advisor for MetaTrader 5 that analyzes market data across multiple timeframes and uses a trainable machine learning model to evaluate potential price direction. At its core is the AurumPulse model, which classifies market conditions into three possible states: BUY, NEUTRAL, and SELL. Before opening a position, the Expert Advisor checks the model's confidence, trading

Aleksandr Zavolskov Produto publicado

NeuroPrice Navigator 2.0 — TCNN‑LSTM Neural Network EA with Attention Mechanism Brief Description NeuroPrice Navigator 2.0 is a fully automated trading advisor for MetaTrader 5 that uses a hybrid TCNN‑LSTM neural network with a Feature Attention mechanism to predict price direction. The advisor self‑trains on historical data, adapts to changing market conditions, and includes a built‑in multi‑level risk management system. How It Works The advisor is built on a proprietary neural network model

Aleksandr Zavolskov Produto publicado

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

Aleksandr Zavolskov Produto publicado

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

Aleksandr Zavolskov
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