Daily Stock Analysis
Free open-source LLM stock analysis system for A/HK/US markets with daily reports.
DSA is a powerful free, open-source pipeline for daily multi-market stock analysis, but it's strictly for technical self-hosters. If you're comfortable with GitHub, API keys, and config files, you get an impressive LLM-driven report generator, multi-strategy Q&A, and backtesting—all for $0. Beginners and intraday traders should look elsewhere: consider TradingView for real-time charting or a paid service like Koyfin for managed data.
Verified 5d ago · liveness 61/100 · cite: rightaichoice.com/tools/daily-stock-analysis
- 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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Skip Daily Stock Analysis if you want a plug-and-play app with no technical setup, need real-time intraday alerts, or expect it to provide ready-to-use investment advice instead of a research aid.
You need to supply your own LLM API key (e.g., OpenAI, Anthropic) and pay for token usage—costs vary with report frequency and model choice.
DSA is free and open-source, making it far cheaper than TradingView (from $14.95/mo) or Bloomberg Terminal ($2,000+/mo). It's ideal for budget-conscious self-hosters but requires your own LLM and data API costs, which can rival a SaaS subscription at high usage.
In short
Daily Stock Analysis — Free open-source LLM stock analysis system for A/HK/US markets with daily 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 people actually say about Daily Stock Analysis — is it worth it?
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) · researched Jul 18, 2026.
- +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 well maintained and how widely used is Daily Stock Analysis? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Multi-market data aggregation (A/HK/US/ETF) with failover
- News and social sentiment aggregation
- LLM-generated daily decision reports
- Agent multi-strategy stock Q&A
- Backtesting with directional accuracy tracking
- SQLite historical report storage
- Multi-channel notifications (WeCom, Feishu, Telegram, Discord, Slack, Email)
- GitHub Actions zero-server deployment
- Docker container deployment
- Local WebUI for debugging
- Electron desktop app packaging
- Zeabur cloud deployment
- Market index and sector strength analysis
- Watchlist report generation
- Risk alerts and action checklists
About Daily Stock Analysis
Daily Stock Analysis (DSA) is a free, open-source, LLM-driven stock analysis system built for individual investors and quantitative researchers who want automated daily research across A-shares, Hong Kong stocks, US stocks, and common ETFs. It pulls together multi-source market data, news sentiment, technical indicators, and fundamentals into structured decision reports every trading day. You can self-host it with GitHub Actions for zero-server scheduled runs, run it locally with a WebUI for debugging, deploy with Docker for a persistent server, or use the new Electron desktop app announced in July 2026 to make local use easier. The tool aggregates data from TickFlow, AkShare, Tushare, YFinance, and Longbridge with automatic failover to keep coverage solid. It combines news, announcements, and social sentiment to provide context around earnings, themes, fund flows, and risk events. The LLM generates a daily watchlist report for each stock—with scores, trend judgment, risk alerts, bullish catalysts, and an action checklist—plus a daily market overview covering index performance, sector strength, and market temperature. Beyond daily reports, DSA includes an Agent that supports multi-strategy stock Q&A—using MA, Chan Theory, Wave, and Bullish trend perspectives—via Web, CLI, or Bot. It also offers backtesting and performance review, storing historical reports in SQLite and tracking directional accuracy, simulated P&L, and position reviews. Notifications go out through WeCom, Feishu, Telegram, Discord, Slack, or Email. Compared to paid tools like TradingView or Bloomberg Terminal, DSA is completely free and gives you full control over data sources and models. The trade-off: it requires technical setup with GitHub, API keys, and config files—not a plug-and-play SaaS. It's a research aid, not an investment advisor, and reports are daily, not intraday. For self-hosters and developers, DSA offers a flexible, extensible pipeline that can be adapted to personal workflows.
Behind the Verdict
DSA is one of the most complete free options for automated daily stock analysis, but it's not for everyone. The setup barrier is real—you need to handle GitHub, API keys, and config files before you see your first report. If that doesn't scare you, you get a system that would cost hundreds a month elsewhere, all for nothing. The Electron desktop app is a welcome addition, making local use less intimidating than a terminal-only workflow. It won't turn DSA into a retail-friendly app, but it lowers the entry bar for hobbyists who want to poke at the WebUI. In practice, the daily report cadence is a clear limitation. You won't get real-time alerts or intraday updates. If you trade on minute-to-minute moves, this tool won't serve you. But if you do end-of-day research and want a consistent, structured breakdown of your watchlist, that cadence is fine. The multi-source failover is a practical feature—when one data feed hiccups, DSA keeps running. That reliability matters when you rely on it for daily reports. The Agent's multi-strategy Q&A adds depth, letting you interrogate a single ticker from different technical perspectives. It's a nice complement to the static reports. Where DSA shines is for quant hobbyists and developers who want to learn from or extend an open-source pipeline. You can adapt the data sources, models, and strategies to your own workflow. Compare that to closed SaaS tools where you're locked into their choices. For that audience, DSA is a compelling alternative. But if you're a beginner who just wants investment advice, step away. DSA is a research aid, not a financial advisor. The output is analytical, not prescriptive. And if you want a managed solution, you'll have to pay for it elsewhere—TradingView for charts, Koyfin for data, or another paid
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Real-world workflow fit
Concrete scenarios for the personas Daily Stock Analysis actually fits — and what changes day-one when you adopt it.
You want daily automated analysis for a watchlist of 20 A-share stocks without spending hours on research.
Outcome: Deploy via GitHub Actions, configure your stock list and LLM key. Each trading day you receive a report with scores, trends, risk alerts, and checklists via Telegram, helping you make informed decisions quickly.
You need to backtest a trading strategy based on moving average and wave theory.
Outcome: Run DSA locally with WebUI, use the Agent to analyze historical data, and store reports in SQLite. Review directional accuracy and simulated P&L to validate your strategy before live trading.
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.
Models Under the Hood
as of 2026-08-28
Limitations
- DSA requires manual setup of stock pool, AI key, and notification channels.
- 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.
as of 2026-08-21
Verification history
We have re-verified Daily Stock Analysis 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
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.
Plans compared
For each published Daily Stock Analysis tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Self-hosters and developers who are comfortable setting up their own infrastructure and want a free, open-source stock analysis pipeline.
What this tier adds
This is the only tier: fully open-source, all features included, no subscription cost. The cost is your time and any LLM/data API fees.
Where the pricing makes sense
The company stage and team size where Daily Stock Analysis's pricing actually pencils out — and where peers do it cheaper.
DSA is free and open-source, making it far cheaper than TradingView (from $14.95/mo) or Bloomberg Terminal ($2,000+/mo). It's ideal for budget-conscious self-hosters but requires your own LLM and data API costs, which can rival a SaaS subscription at high usage.
Setup time & first value
How long it actually takes to get something useful out of Daily Stock Analysis — broken out by persona, not the marketing-page minute.
For technical users, initial setup (configuring stock list, AI key, and notification channel) takes 30-60 minutes. Deployment via GitHub Actions can be done in under an hour, while local or Docker setup may take slightly longer if you're troubleshooting.
Integrations
Resources & Guides
- Documentationdsa.zhulinsen.tech
Docs · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Quickstartdsa.zhulinsen.tech
Quickstart · Daily Stock Analysis
Get up and running fast from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Github Actions · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Local · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
- Documentationdsa.zhulinsen.tech
Docker · Daily Stock Analysis
Full product docs from dsa.zhulinsen.tech
Tutorials & Learning
Official links
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Featured Head-to-Head Comparisons
Daily Stock Analysis vs Geologicai
Choose GeologicAI if you're a mining company needing rapid, integrated core scanning and modeling with sub-48-hour turnaround. Choose Daily Stock Analysis if you're an individual investor wanting a free, self-hostable LLM tool for daily A/HK/US stock research with backtesting.
Daily Stock Analysis vs Screenplayiq
ScreenplayIQ is for film industry professionals needing predictive analytics on script marketability, while Daily Stock Analysis suits self-sufficient investors wanting automated, open-source stock research. Choose based on your domain: film vs. finance.
Daily Stock Analysis vs Bitsgap
Choose Daily Stock Analysis if you're a technically savvy investor wanting free, open-source, LLM-driven reports for traditional stock markets (A/HK/US) and don't mind self-hosting. Choose Bitsgap if you want a ready-to-use, automated crypto trading bot platform with a demo mode and multi-exchange support—perfect for beginners or active crypto traders who prefer SaaS over self-hosting.
Alternatives to Daily Stock Analysis
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