Learn how to backtest a trading strategy step by step in this detailed guide. Visit my website for more: [ Ссылка ]
We explain backtesting techniques using real market data and include walk forward and robustness tests to help you validate your strategies. Whether you’re new to algorithmic trading or looking to refine your methods, this video covers all the essentials to ensure your strategy’s success. Watch now and improve your trading game. Remember to subscribe, like, and share your thoughts in the comments.
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🔍 What You'll Learn:
The Basics of Backtesting: Understand the fundamentals of backtesting and its crucial role in algorithmic trading.
Step-by-Step Guide to Backtesting: We'll take you through every step required to backtest your trading strategy effectively.
Walk Forward Optimization: Learn how to implement walk forward optimization to ensure your strategy remains effective in changing market conditions.
Robustness Tests: Discover how robustness tests, including Combinatorial Purged Cross-Validation (CPCV), can fortify your strategy against market volatility.
📊 Why This Matters
Backtesting and walkforward optimization are not just buzzwords; they are essential tools for any algorithmic trader looking to validate and enhance their trading strategies. By mastering these techniques, you can significantly improve your trading performance and reduce risks.
✅Timestamps:
0:00 Intro
00:29 The overfitting problem
02:00 Why Backtest is so important
03:15 Walk-Forward Optimization
04:30 Robustness tests
06:25 The complete process
07:27 Take your TEMPLATES!
09:16 Outro
The video is about Learn Backtesting Trading Strategies: Step By Step Process With Walk Forward Testing but also tries to cover the following subjects:
Trading Strategy Validation
Backtesting With Real Data
Walk Forward Optimization
Learn Backtesting Trading Strategies: Step By Step Process With Walk Forward Testing | Quantreo
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✅ About Quantreo:
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Disclaimer: I am not authorized by any financial authority to give investment advice. This video is for educational purposes only. I disclaim all responsibility for any loss of capital on your part. Moreover, 78.18% of private investors lose money trading CFD. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technologies, this work contains or describes are subject to open-source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. This video is not intended as financial advice. Please consult a qualified professional if you require financial advice. Past performance is no indication of future performance.
Copyright Disclaimer: Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use
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