Скачать или смотреть 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:

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? 🚀