{"adoption": {"forks": 1016, "observed_at": "2026-08-28T04:09:22.537271+00:00", "stars": 5579}, "canonical_url": "https://ross.abutalabs.com/products/thuquant-awesome-quant", "card": {"archived": false, "artifact_type": "learning-resource", "description": "中国的Quant相关资源索引", "domain": ["fintech", "machine-learning", "tutorials", "awesome-lists"], "enriched": true, "function": ["developer-tools"], "health_score": 80, "homepage": null, "language": null, "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["thuquant/awesome-quant"], "name": "thuquant/awesome-quant", "platform": ["cross-platform"], "pushed_at": "2026-08-24T05:35:24+00:00", "repo": "thuquant/awesome-quant", "stars": 5579, "tags": ["awesome-list", "quantitative-finance", "china-markets", "trading", "backtesting", "curated-resources"], "topics": ["quant", "python", "machine-learning", "statistics", "r", "cpp", "trading", "finance", "china"], "urls": [], "use_cases": ["find free market data APIs for Chinese A-share stocks", "discover backtesting frameworks for quant trading strategies", "learn quantitative finance with books and papers in Chinese", "compare China quant trading platforms and broker APIs", "find time-series databases for tick data", "locate Python libraries for financial data analysis"], "what_it_is": "A curated Chinese-language awesome-list indexing quantitative finance resources, covering data sources, databases, trading platforms, backtesting frameworks, trading APIs, and programming materials for Python, R, C++, and Julia. It focuses on China's quant ecosystem (A-shares, domestic data vendors) while also including international tools and references.", "when_to_avoid": ["you need executable software rather than a link collection", "you need deep non-China-focused coverage without additional research", "you expect documentation or tutorials rather than curated links"], "when_to_choose": ["you work with Chinese financial markets and need localized data sources and platforms", "you want a starting point to explore the quant ecosystem across languages", "you need an up-to-date index of trading, backtesting, and data tools"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/thuquant-awesome-quant", "repo": "thuquant/awesome-quant", "role": "main", "score": 77}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:09:22.537271+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:55:33.980103+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0ca417304471833a58d647e29ac4752404f22fd832f577a0a40b6ac01ad8ff01", "fetched_at": "2026-08-28T04:09:22.537271+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thuquant/awesome-quant"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3767, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 77, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}