Backtesting: building your tool offers flexibility and it is cost-effective. You're in control, learning valuable skills. Instead commercial platforms bring efficiency, support, and data integration. It's a trade-off based on goals, expertise, and resources. #Backtesting #Python @QuantScraper
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Futures data downloaded from yahoo finance are not adjusted as continuous contracts. When you download futures data from Yahoo Finance or ma...
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A working example that compares two dataframes and measures the CPU usage during the comparison: In this example, we have two example dataf... -
Frustration sets in when overfitting provides results promising on historical data, but that fail in real world. The right balance between ...
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