The objective of this project is to develop a fully automated multi-asset trading ecosystem comprising a MetaTrader 5 Expert Advisor (EA) and a Python-based market intelligence platform. The system is designed to identify and execute mean reversion trading opportunities across multiple financial instruments including Forex, Commodities, Indices, and Cryptocurrencies.
The Expert Advisor will implement a rule-based trading strategy using technical indicators such as Relative Strength Index (RSI), Bollinger Bands, Average True Range (ATR), and Z-Score analysis to generate buy and sell signals. The EA will include advanced risk management features such as dynamic position sizing, stop loss and take profit management, breakeven logic, trailing stops, spread filters, trading session controls, and maximum drawdown protection.
The Python application will function as a market scanner and analytics engine, automatically retrieving market data from MetaTrader 5, calculating technical indicators, ranking trading opportunities, and generating actionable signals. Additionally, it will provide a web-based dashboard displaying live market conditions, trade history, portfolio performance, equity curves, and risk metrics.
The system will maintain historical trade and market data in a database and generate automated daily and monthly reports summarizing performance statistics, profitability, drawdowns, and symbol-wise analysis. The architecture is designed to be modular, scalable, and configurable, allowing traders to adapt the strategy parameters and risk settings according to changing market conditions.
Overall, the project aims to provide an end-to-end algorithmic trading solution that combines automated execution, quantitative market analysis, risk management, and performance reporting within a unified trading framework.
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