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feat: Add Cumulative Moving Average (CMA) implementation with detailed documentation
- Introduced Cma class for calculating the Cumulative Moving Average using Welford's algorithm with FMA for precision. - Added methods for batch processing and streaming updates. - Implemented a comprehensive markdown documentation for CMA, covering its mathematical foundation, performance profile, and use cases. - Enhanced existing trend indicators (Bessel, Butter, Htit, Jma, Mama, Ssf, Vidya) with FMA for improved numerical stability and precision. - Updated Adosc to utilize a single-pass algorithm for performance optimization. - Fixed date initialization in benchmarks to ensure UTC consistency.
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- **Statistics**
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- [Overview](../lib/statistics/_index.md)
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- [CMA - Cumulative MA](../lib/statistics/cma/Cma.md)
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- [COVARIANCE - Covariance](../lib/statistics/covariance/Covariance.md)
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- [LINREG - Linear Regression Curve](../lib/statistics/linreg/LinReg.md)
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- [MEDIAN - Rolling Median](../lib/statistics/median/Median.md)
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- [Overview](../lib/forecasts/_index.md)
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- **Cycles**
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- [Overview](../lib/cycles/_index.md)
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- [Overview](../lib/cycles/_index.md)
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