{"adoption": {"forks": 1183, "observed_at": "2026-08-28T04:09:21.900772+00:00", "stars": 5529}, "canonical_url": "https://ross.abutalabs.com/products/sequoia-x", "card": {"archived": false, "artifact_type": "application", "description": "A股自动选股系统 — 多种技术形态自动扫描，收盘后自动运行并推送飞书", "domain": ["fintech"], "enriched": true, "function": ["trading", "data-science", "scheduling", "webhook", "analytics"], "health_score": 75, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "active", "member_repos": ["sngyai/Sequoia-X"], "name": "sngyai/Sequoia-X", "platform": ["python", "cli", "self-hosted"], "pushed_at": "2026-07-10T23:17:43+00:00", "repo": "sngyai/Sequoia-X", "stars": 5529, "tags": ["a-shares", "stock-screening", "quantitative-finance", "ta-lib", "baostock", "feishu", "turtle-trading", "technical-analysis", "automation", "data-engineering", "linux"], "topics": ["ta-lib", "python", "turtle-trade", "a-shares", "pandas", "akshare", "baostock", "stock-screening", "trading"], "urls": [], "use_cases": ["automatically screen A-share stocks for technical breakout patterns each trading day", "backfill historical daily K-line data for the entire Chinese stock market", "get daily stock picks pushed to a Feishu group via webhook", "run turtle trading or O'Neil RPS relative strength strategies on A-shares", "avoid anti-scraping issues by using free baostock data with local SQLite storage", "schedule automated end-of-day stock selection with crontab"], "what_it_is": "Sequoia-X is a Python-based quantitative stock screening system for China's A-share market that scans ~5200 stocks daily for technical patterns like turtle breakouts, RPS strength breakouts, and limit-up shakeouts. It stores historical daily K-line data in local SQLite via baostock and pushes selected picks to a Feishu group after each trading day's close.", "when_to_avoid": ["you need US, Hong Kong, or crypto markets rather than A-shares", "you need intraday or real-time screening rather than end-of-day signals", "you want a GUI or hosted service instead of a command-line Python tool", "you require backtesting or order execution - this only screens and notifies"], "when_to_choose": ["you trade Chinese A-shares and want automated end-of-day technical screening", "you want free, registration-free market data without fighting Eastmoney anti-crawler measures", "you prefer a self-hosted Python pipeline with local SQLite storage and Feishu notifications"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/sequoia-x", "repo": "sngyai/Sequoia-X", "role": "main", "score": 73}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:09:21.900772+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:55:45.760850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4fbcb717a9db26ac21dd7ae1be442f163e145aab25b02be62b9147bfecab0177", "fetched_at": "2026-08-28T04:09:21.900772+00:00", "kind": "readme", "missing": false, "url": "https://github.com/sngyai/Sequoia-X"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 91, "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": 2966, "days_push": 54, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 73, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}