Reynov Christian
af142b5ddf
This commit introduces significant improvements across the application, focusing on a robust backtesting experience, new trading strategies, and enhanced user interface. Backtesting Module: - Implemented comprehensive backtest history functionality, including detailed metrics, equity curve, parameters, and trade logs. - Resolved `NOT NULL` constraint errors for `wins` and `losses` by updating DB schema and `init_db.py` and `save_backtest_result` logic. - Consolidated `/api/backtest/history` route to `api_backtest.py`, removing duplication from `api_history.py`. - Ensured `value_per_pip` calculation in `engine.py` is accurate for all symbols (especially XAU/XAG). - Removed unused `profit` variable in `engine.py`. - Deleted redundant `engine.py` file from project root. Trading Strategies: - **Mercy Edge**: Activated and synchronized `analyze` (live) and `analyze_df` (backtest) methods, using SMA 200 as trend filter. - **Pulse Sync**: Re-implemented as a distinct strategy (RSI Crossover with SMA 100 trend filter), providing a more responsive alternative to Mercy Edge. - **RSI Breakout (now RSI Crossover)**: Transformed into a powerful RSI-MA Crossover strategy with SMA 50 trend filter, significantly improving performance on EURUSD and becoming a top performer on XAUUSD/USDJPY. - **Turtle Breakout**: Integrated as a new, classic trend-following strategy, fully functional for both live and backtesting. - Updated `strategy_map.py` to reflect new strategy names and additions (`BOLLINGER_REVERSION`, `RSI_CROSSOVER`, `TURTLE_BREAKOUT`). UI/UX Improvements: - Enhanced Backtest History UI to display strategy, market/pair, and all detailed metrics. - Updated `README.md` to reflect the new Backtester feature and streamlined donation section.
🤖 QuantumBotX — AI-Powered Modular Trading Bot for MT5
!MIT License !Python Version !Framework !Made with Love
Welcome to QuantumBotX, your personal, modular, and smart trading assistant built with Python and MetaTrader5 (MT5). Designed to be elegant, powerful, and flexible — whether you're a scalper, swing trader, or a strategy researcher.
🚀 Features
- ✅ Modular Strategy System: Easily create and plug in your own trading strategies.
- ✅ Comprehensive Backtester: Test your strategies against historical data with detailed performance metrics and visualizations.
- ✅ Real-Time Analysis: Live dashboard with data visualization using Chart.js.
- ✅ Adaptive Logic: Comes with a Hybrid strategy that adapts to trending or ranging markets.
- ✅ Automated Trading: Full position handling (entry, exit, SL, TP) using bot-specific magic numbers.
- ✅ Persistent Logging: All activities and trades are logged to a local SQLite database.
- ✅ Modern Web UI: Clean and responsive dashboard built with Flask and TailwindCSS.
- ✅ Multi-Timeframe Support: Analyze and trade on any standard timeframe from M1 to D1.
- ✅ Live/Demo Ready: Tested and ready for both demo and live trading accounts.
📦 Tech Stack
Python 3.10+Flask&TailwindCSSMetaTrader5Python Integrationpandas&pandas-tafor data analysisChart.jsfor data visualizationSQLitefor database
🧠 Strategy Examples
| Strategy | Description | Best For |
|---|---|---|
Moving Average Crossover |
Classic Golden/Death Cross. | Trending markets (e.g., Indices, XAUUSD). |
Bollinger Bands Reversion |
Mean reversion based on price touching the bands. | Ranging/Volatile markets (e.g., EURUSD). |
QuantumBotX Hybrid |
Adaptive strategy using ADX to switch between MA Crossover and Bollinger Bands. | All-weather performance. |
📈 Roadmap
- Advanced Strategy:
MACD_STOCH_FILTERfor more precise, filtered entries. - Telegram Notifications: Get real-time alerts for trades and errors.
- Portfolio Analytics: Deeper insights into your trading performance.
🔐 Environment Variables (.env)
Rename .env.example to .env, and fill in the following:
MT5_LOGIN="your_mt5_login"
MT5_PASSWORD="your_password"
MT5_SERVER="your_broker_server"
SECRET_KEY="any_flask_secret_key"
DB_NAME=bots.db
Note: The API keys for Alpha Vantage, CMC, and Finnhub are deprecated and can be ignored.
🧪 Local Setup (Dev Mode)
- Clone the repository:
git clone https://github.com/rebarakaz/quantumbotx.git cd quantumbotx - Set up Python virtual environment:
python -m venv venv # On Windows .\venv\Scripts\activate # On macOS/Linux source venv/bin/activate - Install dependencies:
pip install -r requirements.txt - Configure your environment:
cp .env.example .env # Now, edit the .env file with your MT5 credentials - Run the application:
python app.py
Important: You must have the MetaTrader 5 terminal installed and running on the same machine.
⚠️ Disclaimer
Trading foreign exchange on margin carries a high level of risk and may not be suitable for all investors. The high degree of leverage can work against you as well as for you. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk appetite.
This software is provided "as is" for educational and research purposes. The author is not responsible for any financial losses incurred from using this bot. Always test thoroughly on a demo account before using on a live account.
📈 Screenshot
🧠 Author
Developed with 💖 by Chrisnov IT Solutions
Concept, Logic & Execution: @reynov aka BabyDev
☕ Support This Project
If you like this project, give it a ⭐ on GitHub, or buy me a coffee to support future versions:
📝 License
This project is licensed under the MIT License - see the LICENSE.md file for details.