I Spent 30 Days Trying GTF Trading Strategy and Here are the Results! скачать в хорошем качестве

I Spent 30 Days Trying GTF Trading Strategy and Here are the Results!

In this video, we answer a big question: Is the GTF Trading Strategy actually profitable, or just YouTube hype? Using Python, we run a full live backtest of the GTF trading strategy on historical market data and reveal the real numbers – win rate, drawdown, risk–reward and overall profitability. 🔍 What you’ll learn in this video: How the GTF trading strategy actually works (entry, exit, rules) How to code the GTF strategy in Python step by step How to backtest a trading strategy using historical data Complete performance report: returns, drawdown, hit ratio, equity curve Whether GTF is worth using for intraday/swing trading or just overhyped 💻 Tech Stack Used: Python pandas, numpy, matplotlib (Optional: add your broker/data source here – e.g. NSE/BSE data, CSV, etc.) 📌 Who is this for? Traders following the GTF method and want proof with data Python/algorithmic traders who like to test strategies before risking money Stock market learners in India who want to understand backtesting properly ⚠️ Disclaimer: The ₹84,367 profit shown is a HYPOTHETICAL BACKTEST RESULT generated by Python code. This is NOT a verified P&L from a real trading account. Simulated results have limitations and do not represent actual trading. This video is for education only, not financial advice. Past performance does not guarantee future returns. Always do your own research and trade at your own risk. If you find this useful, like, subscribe to Money Matrix, and comment which strategy I should backtest next – maybe Price Action, CPR, or Option Buying? 🚀