vibe-astock
Enables rapid analysis of intraday market anomalies and sentiment patterns in Chinese equities, reducing manual review time and surfacing actionable trade si…
Vibe AStock:A 股短线复盘与跟踪工作台 · 盯盘异动、情绪复盘(连板天梯、题材轮动、明日验证)、AI 复盘与周报、交易日志、盘前提醒,182 个数据端点。支持 Claude Code、Codex、WorkBuddy 订阅或任意模型 API。 | A short-term trading review and tracking workbench for China A-shares.
- Generate daily trading review summaries for China A-share short-term positions and market movements.
- Analyze intraday stock anomalies and emotional market patterns using 182 market data endpoints.
- Automate pre-market alerts and trading logs for tracking session-by-session position performance.
Enables rapid analysis of intraday market anomalies and sentiment patterns in Chinese equities, reducing manual review time and surfacing actionable trade signals through structured data endpoints and AI-driven post-market reporting.
Day traders and quantitative analysts managing short-term positions in A-shares seeking automated market review and sentiment tracking.
https://github.com/simonlin1212/vibe-astock
By simonlin1212
How to Get It
claude plugins install simonlin1212/vibe-astock
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate daily trading review summaries for China A-share short-term positions and market movements
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 676 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 676 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.