From the course: Practical Python for Algorithmic Trading
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Interpret reports from walk forward validation approaches - Python Tutorial
From the course: Practical Python for Algorithmic Trading
Interpret reports from walk forward validation approaches
- [Instructor] To interpret the reports that we had previously generated, we go to the folder, reports backtesting, and within the files walk forward anchored and unanchored, we open the live server. The final equity from the anchored walk forward validation is 137%, whereas the unanchored is 146%. We should notice that the anchored walk forward, it starts very late to take decisions on the investment, almost at the end of 2022. But the unachored walk forward validation starts taking decisions from May, 2019, and since the stock went up during this time, the investment strategy is very successful. Now that we have interpreted both walk forward validation algorithms, it is time for you to put in the practice and we have prepared a challenge where in the following video I will show you the mental models to master the knowledge required to solve this challenge.
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Why machine learning models overfit the data4m 21s
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How to train models within the backtest2m 47s
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Challenge: Train test with other tickers3m 5s
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Walk forward validation in machine learning8m 31s
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Anchored walk forward validation in backtesting5m 36s
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Create library for backtesting strategies2m 50s
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Interpret reports from walk forward validation approaches1m 12s
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Challenge: Walk forward with other tickers5m 2s
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