I will stress test and validate your trading strategy backtest
Founder Developer
About this Gig
Before you risk capital on an apparent trading edge, I'll independently stress-test the evidence behind your existing backtest.
This is not strategy creation, trading signals, profit prediction, or a promise that your strategy will work live. This is adversarial validation: I test whether your apparent result survives the statistical failure modes that make backtests look better than reality.
Depending on your data, the review may examine:
- Whether the result is stable across different time periods, or falls apart outside the window you tested
- Whether it's driven by a shared trend rather than a real relationship
- Whether it's driven by outliers or a small effective sample size
- Whether it survives correction for testing multiple variables/parameters
- Guarded out-of-sample performance, where applicable
You get a plain-English verdict SURVIVES CURRENT TESTS / FRAGILE-INCONCLUSIVE / LIKELY ARTIFACT along with the evidence behind it, what it means, and its limitations.
Not trading advice or signals. Not a guarantee of profitability. Not strategy optimization or development. Not a promise your result is correct the point is testing it honestly, including when the answer is no.
Programming language:
Python
Technology:
Excel
•
Jupyter Notebook
Analysis Type:
Quantitative Analysis
•
Statistical Analysis
Tools:
Google Colab
•
Microsoft Excel

