👋 Welcome to Episode 4 of my 2025 Python Algo Trading series!
In this episode, we lay the technical foundation for our trading bot by connecting Python to MetaTrader 5 (MT5), fetching and preparing OHLC price data, and setting up a strategy-ready format. We’ll also introduce ATR-based stop loss logic, which adapts to market volatility for smarter, data-driven risk management.
These are essential building blocks for any algorithmic trading system — and they’ll power everything we build in future episodes.

👨‍💻 3 Strategies, 50+ Bots, Real-Time MT5 Integration
🔹 Strategy 1: RSI Divergence
🔹 Strategy 2: Hoffman Inventory Retracement Bar
🔹 Strategy 3: ICT (Inner Circle Trader)

💰 Covers Forex pairs, Gold, and Bitcoin

🧠 Each strategy includes:
– Setup logic (entry conditions)
– Execution logic (entry & exit methods)

🔧 Key built-in functions:
1. RSI Divergence Detection
2. Stochastic Oscillator Crossover
3. ATR-Based Volatility Filter
4. Dynamic Position Sizing
5. Fair Value Gap Identification
6. Change of Character (CHoCH) Logic
7. Hoffman Overlay System
8. Hoffman IRB Setup
9. Advanced Trailing Stop Loss
10. Market Buy/Sell Orders
11. Stop Limit Entry (Buy Stop / Sell Stop)
12. Limit Entry (Buy / Sell Limit)

📺 Sources of strategy inspiration:
– https://www.youtube.com/@tradepro
—- https://youtu.be/v9N4kj4-V2s?si=-lJxT0T8ObnsWTvW
– https://www.youtube.com/@garland.trader
– https://www.youtube.com/@o.t.s

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⚠️ **DISCLAIMER**
This video uses a demo account for educational purposes. Nothing here constitutes financial advice. Please use your own discretion when trading.
Past performance does not guarantee future results.

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#PythonTrading #AlgoTrading #TradingBot #MT5 #ForexStrategy