Daily Stock Analysis
Open-source LLM-driven stock analysis for A/HK/US markets with auto reports.
DSA delivers genuine value for self-hosters: multi-market coverage, LLM reports, and multi-strategy agent. But setup is technical (GitHub, API keys, config files) and reports are daily only. Not for beginners or real-time traders.
- Individual investors wanting automated daily research for A, HK, US stocks and ETFs
- Quantitative hobbyists needing a free, self-hosted analysis pipeline with backtesting
- Multi-market traders who want consolidated reports across different exchanges
- Developers looking for an open-source LLM stock analysis reference to extend or learn from
- Beginners without technical setup skills (requires GitHub, API keys, config files)
- Traders needing real-time intraday alerts (reports are daily/scheduled only)
- Users wanting a fully managed SaaS with zero self-hosting responsibility
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In short
Daily Stock Analysis — Open-source LLM-driven stock analysis for A/HK/US markets with auto reports. Best for Individual investors wanting automated daily research for A, HK, US stocks and ETFs, Quantitative hobbyists needing a free, self-hosted analysis pipeline with backtesting, Multi-market traders who want consolidated reports across different exchanges. Free to use.
What independent users actually report about Daily Stock Analysis
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
48 mentions across 5 sources (Hacker News, YouTube, Product Hunt, GitHub, Lemmy).
- +Cross-market coverage for A-shares, HK, US, and ETFs.
- +Zero-cost self-hosting via GitHub Actions free tier.
- +AI-generated daily reports with scores, trends, and alerts.
- +Multi-channel notifications: WeCom, Feishu, Telegram, Discord, Slack, Email.
- +Open-source with full data source control and no vendor lock-in.
- −No real-time intraday alerts; only daily summaries.
- −Steep learning curve for non-technical users.
- −Requires manual setup of API keys and data sources.
- −Limited community support due to small user base.
- −67 open GitHub issues suggest some stability concerns.
- • LLM API costs (OpenAI/Claude) for report generation
- • Data source API subscriptions (e.g., Tushare, YFinance) may require premium keys
- • Self-hosting infrastructure if using a server (Docker)
Viability Score
How likely is Daily Stock Analysis to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Cross-market data coverage for A-share, HK, US, ETF
- Multi-source data failover (TickFlow, AkShare, Tushare, YFinance, Longbridge)
- News and sentiment aggregation
- LLM-generated decision reports with scores, trends, alerts, checklists
- Agent multi-strategy stock Q&A (MA, Chan Theory, Wave, Bullish)
- Backtesting and review (directional accuracy, simulated P&L, holding review)
- Multi-channel notifications (WeCom, Feishu, Telegram, Discord, Slack, Email)
- WebUI for local debugging
- GitHub Actions zero-server deployment
- Docker deployment for long-term server operation
- SQLite historical report storage
- Watchlist report generation
- Market index performance and sector strength analysis
About Daily Stock Analysis
Daily Stock Analysis (DSA) is an open-source, LLM-powered intelligent stock analysis system targeting individual investors and quantitative researchers. It covers A-shares, Hong Kong stocks, US stocks, and common ETFs, integrating multi-source market data, real-time news, technical and fundamental analysis to generate structured decision reports each trading day. Users can self-host via GitHub Actions (free scheduled tasks), local debugging with WebUI, or Docker for long-term server operation. Key features include cross-market data coverage with failover (TickFlow, AkShare, Tushare, YFinance, Longbridge), news and sentiment aggregation, LLM-generated reports with scores, trends, risk alerts, and operation checklists, plus an Agent for multi-strategy stock Q&A (MA, Chan Theory, Wave, Bullish trend). The system also supports backtesting and review with historical reports stored in SQLite. Notification channels include WeCom, Feishu, Telegram, Discord, Slack, and Email, delivering watchlist reports and market reviews to fixed endpoints. The project is actively maintained with the latest version v3.24.1-19-g52afa95 (2026-07-02). Compared to paid alternatives like TradingView or Bloomberg Terminal, DSA offers zero-cost self-hosting and full data source control, but requires technical setup and lacks real-time intraday alerts. It's ideal for those comfortable with GitHub and API keys.
Behind the Verdict
Daily Stock Analysis fills a specific niche: automated, reproducible stock research for anyone willing to get their hands dirty with configuration. If you can handle GitHub Actions, API keys, and YAML, you get a pipeline that rivals paid tools for daily scans of A/HK/US markets. The multi-source failover is a smart design—if one data feed goes down, another picks up. Where it falls short is immediacy. Reports are once per trading day, so if you need intraday alerts or real-time price action, this isn't your tool. The setup barrier is real: you'll need to configure at least one LLM provider (OpenAI, Claude, etc.) and each data source separately. That said, the documentation is thorough. Compared to something like TradingView's screener, DSA gives you LLM reasoning on top of raw data—structured opinions, not just charts. But TradingView offers real-time streaming and a polished UI; DSA is command-line and web UI only. For a quant hobbyist who values daily structured insights over instant charts, DSA is a strong free option.
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Use Cases
- Receive daily AI-generated analysis for your custom watchlist including scores and action items.
- Query individual stocks with multiple technical strategies like moving average or wave theory.
- Backtest your portfolio decisions using historical reports stored in local SQLite database.
- Deploy free daily reports via GitHub Actions without maintaining any server.
- Monitor market sentiment and sector strength through automatically generated market review reports.
- Integrate stock analysis into your existing workflow through WeCom, Feishu, Telegram, or other channels.
Limitations
- DSA requires manual setup of stock pool, AI key, and notification channels.
- It does not provide real-time intraday alerts; reports are generated on a daily schedule (e.g., via GitHub Actions cron).
- The system relies on third-party data sources that may have usage limits or require API keys (e.g., Tushare, YFinance).
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Integrations
Resources & Guides
- Documentationdsa.zhulinsen.tech
Docs · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Github Actions Deployment · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Local Run · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Docker Deployment · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Ai Llm Configuration · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Notification Channel Configuration · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Market Data Configuration · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Tushare Stock List Tool · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Litellm Yaml Example · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Trading Strategies · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
Official links
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