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xbtlin/ai-berkshire

AI 时代的伯克希尔:基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.

Latest metrics (snapshot 2026-10-14)

stars16746
forks2508
issues32
pushed_at2026-10-12T03:52:07Z

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
2026-10-1416746

ADC Momentum: 69/100

ADC Momentum 69 Leaderboard

Growth velocity85
Consistency68
Recency88
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

descriptionAI 时代的伯克希尔:基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.
urlhttps://github.com/xbtlin/ai-berkshire
languageHTML
licenseMIT
topicsai
ai-agent
anthropic
berkshire-hathaway
charlie-munger
china-stock
claude
claude-code
financial-analysis
fintech
fundamental-analysis
investment
created_at2026-04-07T11:19:51Z
homepagehttps://github.com/xbtlin/ai-berkshire#readme

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