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quant-research-framework
quant-research-framework PublicResearch framework for evaluating systematic trading strategies using walk-forward optimization, statistical validation, and robustness testing in Python.
Python 1
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Monte-Carlo-paper
Monte-Carlo-paper PublicMonte Carlo Filter Evaluation in Walk-Forward Strategy Selection — reproducibility package (Python, Rust, R)
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quant-research-framework-rs
quant-research-framework-rs PublicRust port of quant-research-framework: walk-forward backtester with robustness tests and realism controls. 1-to-1 output parity with the Python reference, ~24x faster.
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strategy-rmt
strategy-rmt PublicMarchenko-Pastur + parallel-analysis eigenspectrum of strategy correlation matrices. Reference implementation for the M/01 model on daru.finance.
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strategy-tda
strategy-tda PublicH0 persistence barcode under correlation-distance Vietoris-Rips on strategy populations. Reference implementation for the M/03 model on daru.finance.
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tail-evt
tail-evt PublicPeaks-over-threshold GPD fits and pairwise tail-coupling chi on cross-asset returns. Reference implementation for the M/04 model on daru.finance.
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