vibe-astock

Overview of vibe-astock

What it is

​​Vibe AStock is a short-term trading review and tracking workbench for China A-shares. It provides real-time monitoring, sentiment review, AI-powered analysis, trade logging, and 182 data endpoints. The application runs locally on Windows, macOS, or Linux, and can also be deployed on a cloud server with remote access. It supports AI integration via Claude Code, Codex, WorkBuddy subscriptions, or any compatible Chat Completions API.​​

Key features

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• 10 primary sections: Home, Watchlist, Review, Trade Log, Industry News, Industry Research, Research Tools, My Stocks, Database, and AI Access.​
• Real-time watchlist: monitors holdings, watchlist, yesterday's tier list, large-cap stocks, and top turnover; flags rapid moves (>1.5% in 3 minutes) and limit-up/down events.​
• Sentiment review: displays profit effect, promotion rate, tier ladder, premium, gap, sentiment cycle, sealing quality, theme event tree, first-board list, and 5-day theme rotation. AI generates a five-part review (sentiment, capital, theme, dragon-tiger list, leader) with verifiable numbers.​
• Trade log: automatically matches each trade to the day's sentiment strength and board position; groups by sentiment, board, strategy, and plan adherence; calculates win rate. Data stays local and is never sent to AI.​
• 182 data endpoints (35 layers), including 14 short-term specific ones: sentiment readings, six fact tables, tier ladder, theme event tree, theme rotation, first-board list, limit-up structure, intraday sentiment, yesterday's tier list, etc.​
• Six-stage individual stock research (A-shares, HK, US): company profile → financials → earnings expectations → valuation → risk → report, with source and calculation traceability.​
• Tomorrow's verification: write conditions the night before; auto-reconcile at next close.​
• AI weekly report, daily review, and sample statistics.​​

Use cases

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• Intraday monitoring of holdings, watchlist, and yesterday's limit-up stocks for price movements and anomalies.​
• Post-market sentiment review: assess profit effect, tier ladder, theme rotation, and generate AI-assisted review reports.​
• Trade journaling: record every trade with automatic context (sentiment, board position), review performance by various groupings, and track risk and discipline.​
• Verify trading hypotheses: write conditions for the next trading day and automatically check results at close.​
• Deep research on individual stocks (A, H, US) with structured reports and evidence.​​

Getting started

​​See the repository README for installation and quick start instructions.​​

License and pricing

​​Licensed under Apache-2.0. Open source.

Based on the project's public README and repository metadata.