Stop manual backtesting and start automating. In this video, I’m breaking down my custom system for converting TradingView Pine Script into Python for high-speed algorithmic backtesting. If you want to build a “Smart Money” bot that works while you sleep, this technical walkthrough is for you.

What we’re covering in this technical breakdown:

Pine Script to Python: The exact workflow for translating chart indicators into executable code.
The Backtesting Framework: How to run thousands of trades through historical data in seconds to find your edge.
GitHub Repo Walkthrough: A look at the file structures, logic flow, and documentation needed for a professional bot.
Strategy Optimization: Using AI and logic logs to refine entries, exits, and stop-loss placement.
Analyzing the Results: How to read equity curves and drawdown reports to determine if a strategy is “Live-Ready.”
Timestamps: 0: 00 The Power of Automated Backtesting 0: 25 Converting Smart Money Concepts to Python 1: 40 Navigating the GitHub Repository 3: 15 Strategy Spotlight: Bollinger Band Breakouts 5: 40 AI-Assisted Code Optimization 15: 15 The Results: Equity Curves & Profit Metrics 22: 00 Troubleshooting the Logic 36: 00 Final Conclusion: Deploying the System

Build your trading edge with Pops Stocks:

How to Find Stocks Forming a Higher Low
The “3 Tap Rule” for Technical Analysis
Why Volume is the Most Honest Indicator
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