Most Backtests Fail Because Traders Get This One Split Wrong

Want to know the right way to split your in-sample and out-of-sample data so your trading strategy actually works in real markets? Don’t miss this breakdown of how I validate my systems and avoid the trap of overfitting.

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In this video, I explain:

• What in-sample data is and why it’s crucial for building your system

• How to use out-of-sample data to validate your trading strategy

• The importance of including bull, bear, and sideways market cycles

• How to avoid overfitting by using enough trades and data

• Practical tips for making your rules robust across different market conditions

If you’ve ever struggled with backtesting, trading strategy validation, or wondered how to avoid building a system that only works in hindsight, this video is for you.

📌 Video Chapters

00:00 – Introduction: Choosing in-sample vs out-of-sample data
00:40 – What in-sample data really means
01:10 – Why you must include bull, bear & sideways markets
02:00 – The danger of using only bull market data

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