{"adoption": {"forks": 2558, "observed_at": "2026-08-28T04:07:27.477862+00:00", "stars": 2877}, "canonical_url": "https://ross.abutalabs.com/products/algorithmic-trading-python", "card": {"archived": false, "artifact_type": "learning-resource", "description": "The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python", "domain": ["fintech", "education", "data-science", "tutorials"], "enriched": true, "function": ["trading", "data-science", "developer-tools"], "health_score": 20, "homepage": null, "language": "Jupyter Notebook", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["nickmccullum/algorithmic-trading-python"], "name": "nickmccullum/algorithmic-trading-python", "platform": ["python", "cross-platform"], "pushed_at": "2024-06-20T07:31:16+00:00", "repo": "nickmccullum/algorithmic-trading-python", "stars": 2877, "tags": ["algorithmic-trading", "jupyter-notebooks", "free-course", "quantitative-finance", "momentum-strategy", "value-investing"], "topics": [], "urls": [], "use_cases": ["learn algorithmic trading in python", "build a quantitative momentum investing strategy", "create an equal-weight S&P 500 index fund", "learn quantitative value investing", "follow a free algorithmic trading course", "practice pulling stock data via APIs in python"], "what_it_is": "A Jupyter Notebook repository accompanying freeCodeCamp's free YouTube course on algorithmic trading in Python. It contains course materials for building equal-weight index funds and quantitative momentum and value investing strategies using API-based stock data.", "when_to_avoid": ["you need production-ready trading or backtesting software", "you want live trading with a broker integration", "you need a maintained library with a license and active support"], "when_to_choose": ["you want a free, beginner-friendly introduction to algorithmic trading concepts", "you learn best by following video courses with hands-on notebooks", "you want to practice building simple quant strategies in Python"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/algorithmic-trading-python", "repo": "nickmccullum/algorithmic-trading-python", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:27.477862+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:35:41.615835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "05ec636f47cd4999584af01873da8135d2bb80f569026c5afe000a4f7bacb159", "fetched_at": "2026-08-28T04:07:27.477862+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nickmccullum/algorithmic-trading-python"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2225, "days_push": 804, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}