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Fix OmniOracle description: lagged MI, not Granger (#293)

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* Add OmniOracle — automatic statistical discovery engine

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: correct OmniOracle description (lagged MI, not Granger causality)

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Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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cesare panzeri
2026-03-25 09:55:49 +01:00
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@@ -222,7 +222,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [tsmoothie](https://github.com/cerlymarco/tsmoothie) - A python library for time-series smoothing and outlier detection in a vectorized way.
- [pmdarima](https://github.com/alkaline-ml/pmdarima) - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
- [gluon-ts](https://github.com/awslabs/gluon-ts) - vProbabilistic time series modeling in Python.
- [OmniOracle](https://github.com/cesabici-bit/omni-oracle) - Automatic discovery of non-trivial statistical relationships across 500+ time series from FRED, World Bank, EIA, and NOAA using mutual information screening, Granger causality, and FDR correction.
- [OmniOracle](https://github.com/cesabici-bit/omni-oracle) - Automatic discovery of non-trivial statistical relationships across 500+ time series from FRED, World Bank, EIA, and NOAA using mutual information screening, lagged MI directional testing, and FDR correction.
- [functime](https://github.com/functime-org/functime) - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
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