Go Stock
Go Stock runs LLM stock analysis on A-shares, Hong Kong and US markets from your own desktop
Go Stock earns its place when your research already happens on a Windows or macOS desktop and you want the model, the data and your documents under your own roof. The DeepAgents deep-research reports, the research-file knowledge base and the Ollama offline route are the parts we'd actually use daily, and the MCP hook letting analysts wire in their own quote and search tools is a real differentiator. It won't replace a broker terminal or a dedicated charting engine, and the site's own sample reports show runs degrading when a data feed or model call fails.
Last checked 9h ago · cite: rightaichoice.com/tools/go-stock
- Privacy-conscious investors who want positions, watchlists and research documents stored locally
- Retail traders focused on A-shares and Hong Kong stocks who research on a Windows or macOS desktop
- Analysts who want to import research reports and filings and get cited AI answers
- Traders who already pay for an LLM API or run local models and want to reuse that backend
- Mobile- or web-only users — the project ships Windows and macOS desktop builds only
- Technical analysts who need a deep charting and backtesting engine
- Traders wanting built-in brokerage execution or order routing
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Skip Go Stock if you want a phone or browser client, or a finished analysis product where feeds and models are already tuned — here you wire up the AI backend and quote sources yourself.
Running the DeepAgents deep-research reports burns far more tokens than a single-ticker summary, and on a paid API like DeepSeek or Claude that spend lands on your own key, not a flat subscription
Go Stock is an open desktop project you pair with your own model backend, so the real cost comparison is your inference bill versus a cloud AI finance subscription. If you already run Ollama locally, the marginal cost of an extra analysis is electricity; if you use a paid API, deep-research reports scale with token use. Cloud analyst platforms bundle the data and the model — Go Stock keeps them separate and lets you pick the cheaper side of each.
In short
Go Stock — Go Stock runs LLM stock analysis on A-shares, Hong Kong and US markets from your own desktop. Best for Privacy-conscious investors who want positions, watchlists and research documents stored locally, Retail traders focused on A-shares and Hong Kong stocks who research on a Windows or macOS desktop, Analysts who want to import research reports and filings and get cited AI answers. Free to start; paid plans from $9.99/mo.
What's new in Go Stock
Checked todayAcross the latest 2 updates: 2 launches.
v2026.10.18.2-release · Windows green build 133 MB, macOS universal 70 MB
Latest build published 2026/10/18 with direct download buttons, including a domestic accelerated mirror alongside GitHub direct download and a full version list.
v2026.10.15.1-release
Prior release referenced on the site's report feed, superseded by the 2026/10/18 build.
What people actually say about Go Stock — 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.
18 mentions across 3 sources (Hacker News, GitHub, Lemmy) · researched Jul 3, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Local data storage ensures full privacy for sensitive financial data.
- +Supports a wide range of AI backends: DeepSeek, OpenAI, Ollama, etc.
- +Covers A-shares, Hong Kong, and US markets in one tool.
- +AI-powered hot topic news analysis keeps you informed of market trends.
- +Price change push alerts with customizable thresholds for timely actions.
- −Almost no user reviews or community discussions available.
- −Limited documentation makes setup and use challenging.
- −16 open GitHub issues suggest potential bugs or incomplete features.
- −No support channels like forums, chat, or email listed.
- −Unclear how accurate AI sentiment analysis is in practice.
Viability Score
How well maintained and how widely used is Go Stock? 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: October 2026
How we score →Key Features
- Desktop app for Windows (133 MB portable) and macOS universal (70 MB), v2026.10.18.2-release
- Real-time quotes for A-shares, Hong Kong and US stocks
- K-line technical indicator analysis with forward/backward adjusted price switching
- Market sentiment dashboard: limit-up/limit-down distribution, margin financing, index futures positioning
- DeepAgents multi-step autonomous research agent producing structured deep reports
- Skills and prompt marketplace with one-click import of shared agent skills
- Knowledge base for research reports and filings with multi-document mixed retrieval
- Long-term memory of watchlist preferences, holding style and analysis habits across sessions
- MCP (Model Context Protocol) integration for external tools and data sources
- Push alerts for watchlist moves, news and buy/sell signals
- AI hot-topic news analysis and market-wide sentiment monitoring
- AI-assisted stock screening with configurable criteria
- Configurable AI backends: OpenAI, DeepSeek, Ollama, Gemini, Claude, Dify, any OpenAI-compatible API
- Local storage of stock data, watchlists and analysis history
- Source-code compilation option (Wails + NaiveUI project)
About Go Stock
Go Stock is a desktop AI stock analysis app for investors working A-shares, Hong Kong and US equities. Built on Wails and NaiveUI, it pulls real-time quotes for the three markets, reads K-line technical indicators with switchable forward/backward adjusted prices, and has a large language model write up fundamentals, technicals and capital flow for one ticker or the whole market. The current build on the site is v2026.10.18.2-release, published 2026/10/18, offered as a 133 MB Windows green/portable build and a 70 MB universal macOS build, plus a source-compile route. You choose the model backend: the site lists OpenAI (GPT series and any OpenAI-compatible API), DeepSeek Chat/Reasoner, Ollama for local offline models, Google Gemini, Anthropic Claude, Dify, and other OpenAI-compatible endpoints such as SiliconFlow, 01.AI and Moonshot. Point it at Ollama and the analysis loop stays on your hardware. Around that core sits a DeepAgents multi-step research agent that retrieves data, calls tools and writes structured deep reports, a skills and prompt marketplace for one-click importing of shared agent skills, a knowledge base for research reports and filings with multi-document mixed retrieval, and long-term memory of your watchlist preferences, holding style and analysis habits across sessions. MCP integration plugs in external tools and data sources, push alerts cover watchlist moves, news and buy/sell signals, and a market sentiment dashboard — limit-up/limit-down distribution, margin financing, index futures positioning — gives you the temperature reading before you dig into a name. The project labels itself study and research tooling and states AI output is not investment advice.
Behind the Verdict
The first thing to understand about Go Stock is that it is an analysis layer, not a trading platform. You get real-time quotes for A-shares, Hong Kong and US stocks, K-line reading with forward/backward adjusted price switching, and a market sentiment dashboard that surfaces limit-up/limit-down counts, margin financing and index futures positioning in one view. What sits on top of that data is the interesting part: a DeepAgents agent that runs multi-step research — the published sample reports walk through confirming the trading calendar, checking K-lines, pulling 龙虎榜 seat detail and financials, then writing a structured report — plus a knowledge base that retrieves across your imported PDFs and filings so answers cite your own documents instead of the open web. Model freedom is the second differentiator and it is genuine, not a checkbox. The supported-backend table on the site lists OpenAI (including any OpenAI-compatible API), DeepSeek Chat/Reasoner, Ollama for local models, Google Gemini and Anthropic Claude, with Dify as a workflow layer and SiliconFlow, 01.AI and Moonshot named as compatible endpoints. If you already pay for an API key or run a local model, you reuse it rather than paying a second subscription for inference. The weaknesses are equally concrete. It is desktop-only — no phone app, no browser client — so a research habit built around a commute or a browser tab does not transfer. There is no advanced charting or backtesting engine here; execution and chart work stay in your broker platform. And quality is contingent: because data sources and models are yours to configure, sample runs on the site show 'failed to fetch stock price, analysis may be inaccurate' and a screening run hitting a provider quota before switching channels. That is honest about the tradeoff rather than hiding it, but it means the tool rewards a user who will tune feeds and prompts and frustrates one who expects a finished product. Where it fits: retail and semi-professional investors who research A-shares and Hong Kong stocks at a desk, want multi-step AI reports, and care that positions, watchlists and research documents stay on local disk. Where it doesn't: mobile-first users, anyone needing team collaboration, role controls or audit trails, and anyone who wants AI output treated as a buy signal — the project itself says study tooling only.
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Real-world workflow fit
Concrete scenarios for the personas Go Stock actually fits — and what changes day-one when you adopt it.
You open the app before the session, scan the sentiment dashboard for limit-up/limit-down spread and margin financing, then run a DeepAgents report on two watchlist names after confirming the trading calendar and pulling K-lines and 龙虎榜 seat detail.
Outcome: A structured written thesis per name that cites the data it pulled, plus push alerts if either name moves or a signal triggers during the day.
You import recent earnings filings and broker research PDFs into the knowledge base, then ask the AI about a company's margin trajectory with multi-document retrieval switched on.
Outcome: Answers grounded in your own documents rather than generic web content, with long-term memory keeping your coverage style and holding preferences across sessions.
You point Go Stock at a local Ollama model, disable cloud endpoints, and run screening plus single-stock analysis entirely on your own hardware.
Outcome: Positions, watchlists and analysis history stay on local disk and no query leaves the machine, at the cost of slower inference than a hosted API.
Use Cases
- Run a DeepAgents multi-step research report on a single A-share or HK stock
- Track market-wide sentiment via limit-up/limit-down distribution, margin and futures positioning
- Import research PDFs and earnings filings into a knowledge base so AI answers cite your own documents
- Screen the A-share market with custom criteria and AI scoring
- Get push alerts when a watchlist stock moves, news breaks or a buy/sell signal triggers
- Analyze fund flow, financials and chip distribution for a holding with AI assistance
- Run the analysis loop offline with a local Ollama model so nothing leaves your machine
- Share or import agent skills and prompts from the community marketplace
Models Under the Hood
as of 2026-09-14
Limitations
- Go Stock is desktop-only (Windows portable and macOS universal builds) with no mobile app or web client, and it has no advanced charting or backtesting, so execution and technical chart work stay in your broker platform.
- You must configure your own AI backend — the sample analysis runs on the site show an 'Agent initialization failed: no AI config with ID 0' state until a model is set up.
- Analysis quality also depends on your quote and data sources: sample runs on the site report 'failed to fetch stock price, analysis may be inaccurate' and a screening run hitting a data-provider quota and switching channels.
- All data is local, which limits real-time collaboration or shared workspaces.
as of 2026-10-18
Verification history
We have re-verified Go Stock 9 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-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-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 9 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 Go Stock 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/mo
Ideal for
Desktop investor on A-shares, Hong Kong or US stocks who wants quotes, K-line reading, the sentiment dashboard and AI analysis using their own API key or local Ollama model
What this tier adds
Starting tier — core AI stock analysis, real-time quotes, market sentiment dashboard and bring-your-own LLM backend across Windows and macOS builds
Pro
$9.99/mo
Ideal for
Investor who wants the DeepAgents deep-research reports, the skills marketplace and a personal knowledge base with multi-document retrieval
What this tier adds
Adds DeepAgents multi-step research reports, skills and prompt marketplace access, the personal knowledge base, long-term memory and the MCP tool ecosystem with push alerts
Where the pricing makes sense
The company stage and team size where Go Stock's pricing actually pencils out — and where peers do it cheaper.
Go Stock is an open desktop project you pair with your own model backend, so the real cost comparison is your inference bill versus a cloud AI finance subscription. If you already run Ollama locally, the marginal cost of an extra analysis is electricity; if you use a paid API, deep-research reports scale with token use. Cloud analyst platforms bundle the data and the model — Go Stock keeps them separate and lets you pick the cheaper side of each.
Setup time & first value
How long it actually takes to get something useful out of Go Stock — broken out by persona, not the marketing-page minute.
Windows and macOS users: download the portable or universal build and you have quotes and the sentiment dashboard within minutes — count on 15–30 minutes more to plug in an AI backend (API key, or an Ollama endpoint for local runs) before the analysis and DeepAgents reports will execute. Source-compile via the Wails project adds a toolchain setup step on top.
Switching to or from Go Stock
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a cloud AI finance subscription: run Go Stock alongside it for one watchlist, then move your research PDFs into the local knowledge base before cancelling
- →From a broker terminal: keep execution there, and use Go Stock only for the written analysis layer
- →From spreadsheet screening: rebuild your criteria as AI screening rules, then let DeepAgents write up the shortlist
- ↗To a cloud analyst platform: export watchlists and research notes first, since Go Stock stores them locally
- ↗To a broker terminal plus manual research: keep the DeepAgents reports as PDFs for your own archive before switching
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Go Stock”, and we withheld 6: 6 could not be judged, because “Go Stock” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Go Stock.
Official links
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Common stack mates teams adopt alongside Go Stock, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
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