{"repo":"Marco210210/AI-Enhanced-HFT","free":true,"listed":false,"github":"https://github.com/Marco210210/AI-Enhanced-HFT","clone":"git clone https://github.com/Marco210210/AI-Enhanced-HFT.git","description":"Hybrid Expert Advisor for Forex HFT using EMA/ADX signals and AI forecasts (XGBoost, RF, LSTM). Supports real-time trading and backtesting in MetaTrader 5.","language":"HTML","stars":19,"topics":["ai-trading","algorithmic-trading","expert-advisor","financial-forecasting","forex","high-frequency-trading","lstm","machine-learning","metatrader5","random-forest"],"license":null,"category":"trading","readme_excerpt":"AI-Enhanced High-Frequency Trading – Hybrid System with Predictive Modeling AI-Enhanced HFT is an advanced trading system that combines traditional rule-based strategies with modern AI-driven forecasting to improve high-frequency trading (HFT) performance in the Forex market. Designed for deployment within MetaTrader 5, this hybrid Expert Advisor (EA) leverages both technical indicators and machine learning insights to optimize trade execution. The core of the system is a trend-following strategy based on exponential moving average (EMA) crossovers, validated through the Average Directional Index (ADX) and volume confirmation. It includes a sophisticated exit mechanism based on ADX differential analysis, which allows for timely exits during weakening trends. A key innovation lies in the integration of predictive modules using machine learning (Random Forest, XGBoost) and deep learning (LSTM) models. These models are trained on higher timeframe data (H1) to forecast short-term price direction, and their predictions are incorporated in real time via a TCP socket connection. The EA adjusts trade sizing dynamically based on the alignment between technical signals and AI-generated forecasts. The framework supports both backtesting and live trading, enabling a robust comparison of model performance across multiple assets and timeframes. Although market-agnostic by design, the system has shown particular effectiveness on selected symbol-timeframe combinations. Extensive evaluations ","default_branch":null,"files":null,"tree":[],"storefront":"/r/Marco210210","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Marco210210/AI-Enhanced-HFT/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}