3. Develop Your StrategyBuild your trading strategy using the appropriate language or interface:
- MQL4/MQL5: Write custom expert advisors (EAs) or indicators inside MetaTrader.
- Python (MT5 only): Develop scripts using the MetaTrader5 library for order execution, data retrieval, and analysis.
- TradingView: Write trading logic in Pine Script and send signals via webhook automation.
💡 Make sure your strategy includes risk controls such as Stop Loss, Take Profit, and trailing stops.
4. Test Your Strategy Using Historical Data
Before deploying your system live, backtest it using historical market data:
- In MetaTrader: Use the built-in strategy tester.
- With Python: Use copy_rates_from() or copy_ticks_from() for historical backtesting.
- On TradingView: Test logic using the platform’s built-in Strategy Tester.
📌 Avoid testing only on one instrument — validate the logic across different pairs and conditions.
5. Integrate and Launch Your SystemOnce your system is ready and tested:
- Install MetaTrader 4 or 5 and connect your Exness account.
- In Python, initialize your session with mt5.initialize() and connect to your terminal.
- For FIX API, configure server-side access based on Exness instructions.
- If using TradingView, set up a webhook or middleware (e.g., webhook-to-MT5 bridge) to link signals to your Exness account.
6. Monitor and Optimize- Continuously track performance metrics like execution speed, profit/loss, and drawdowns.
- Adjust strategy parameters or code as market conditions change.
- Use logs, alerts, and journaling to detect errors or inefficiencies.
- 💡 Consider versioning your strategy scripts to track improvements or roll back faulty logic.