2.3) Why Trading Optimizations need a Statistically Significant Sample Size (Number of Trades)
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2.4) How to Extract Optimal Parameter Values in Optimizations using Statistical Power Analysis
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2.2) Using Statistical Power Analysis to determine Sample Size in Trading Optimizations & Backtests
11:43
6.2) Reduce Noise Overfitting by Reducing the Degrees of Freedom in Optimizations
54:22
How to Troubleshoot Kubernetes Clusters | Kubernetes Tutorial | K21Academy
5:36
9.1) The Importance of Choosing Robust Performance Metrics / Criteria in Trading Optimizations
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13.1) Walk Forward Analysis Best-Practice | Improving your Trading Strategy Optimizations
10:29
6.3) Real Example: How Over-Fitting occurs when Increasing Degrees of Freedom
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