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201901060324/gator-method

从 700+ 篇文章、80 场直播中提炼出的 A 股判断规则体系(48 章,含数字阈值与行情回测)

Latest metrics (snapshot 2026-10-15)

stars36
forks11
issues0
pushed_at2026-10-13T15:31:43Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1536

ADC Momentum: 55/100

ADC Momentum 55 Leaderboard

Growth velocity59
Consistency47
Recency92
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

description从 700+ 篇文章、80 场直播中提炼出的 A 股判断规则体系(48 章,含数字阈值与行情回测)
urlhttps://github.com/201901060324/gator-method
languageHTML
licenseNOASSERTION
topicsa-share
ai-agent
gator
investing
knowledge-base
prompt-engineering
trading-framework
created_at2026-10-04T01:57:21Z
homepagehttps://201901060324.github.io/gator-method/

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