In this video, we’ll walk through how to build a divergence-based algorithmic trading strategy using TradingView data and Python. 🚀
You’ll learn how to detect bullish and bearish divergences automatically, integrate TradingView data into your algo, and fine-tune your code for better accuracy and performance.
We’ll also discuss how to use ChatGPT to assist in code generation, debug errors, and optimize your algo strategy step by step — perfect for both beginners and intermediate algo traders.
💡 What You’ll Learn:
How to use TradingView data in Python
Building a divergence detection algo (RSI, MACD, etc.)
Automating signals and backtesting
Improving performance with AI code generation
Troubleshooting and refining your algo
🧠 Pro Tip:
If your code gets stuck or needs improvement, ask the right questions and use community support or ChatGPT to debug efficiently.
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