ASRQuant¶
Auditable quantitative finance research in Python.
ASRQuant is the open-source quantitative-finance toolkit developed by Alpha Stochastic Research (ASR) for reproducible market-data, fixed-income, derivatives, risk, backtesting, validation, simulation and research-lineage workflows.
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Run the public practical case
ECB EUR curve → 5Y IRS → DV01 → quote PV01 → stress → PBO / SPA → auditable report.
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Get started
Install ASRQuant and build a first reproducible research workflow.
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Quant research
Explore validation, risk, Monte Carlo, hypothesis discovery and research infrastructure.
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Fixed income & derivatives
Curves, conventions, rates risk and derivatives implemented through ASRQuant's native quantitative engines.
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Research validation
CPCV, PBO, Reality Check, SPA, leakage diagnostics and multiverse analysis.
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API reference
Browse the API generated directly from the current source tree.
What makes ASRQuant different¶
ASRQuant is designed around a research chain rather than a collection of isolated functions:
data → assumptions → model → risk → validation → interpretation → reproducibility
The package keeps quantitative objects and research evidence inspectable: data snapshots, curve diagnostics, quote-space risk, time-series validation, experiment fingerprints and exported research reports.
ASRQuant 1.3¶
The 1.3 release line adds and strengthens:
- market conventions and curve-construction contracts;
- rates instruments and quote-space PV01;
- credit foundations and scenarios;
- CPCV, PBO, Reality Check, SPA, leakage and multiverse diagnostics;
- point-in-time data and immutable snapshots;
- experiment lineage, research graphs and reports;
- calibration, sensitivities, transaction costs and cross-domain risk utilities.
One import¶
Research software
ASRQuant is research infrastructure. It is not investment advice, a broker, or an execution venue.