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Polars for Finance: Calculating Technical Indicators (SMA, RSI)
Summary
This blog post discusses the use of Polars, a DataFrame library, for calculating technical indicators like Simple Moving Average (SMA) and Relative Strength Index (RSI), essential for analyzing financial datasets, which are typically time-series in nature. The article highlights the importance of execution speed and temporal memory alignment when working with financial indicators in Polars.
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