TradingAgents-astock
A股多Agent投研框架, 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework, 7 AI analysts, bull/bear debate, risk assessment。
Runs with mockssource: GitHubPythonApache-2.0commit b0594a4f2b8f
Python, Apache-2.0 licensed. The project labels itself: a share, ai agent, china stocks, claude, fintech, investment research, langgraph and llm.
TradingAgents-astock runs, with stand-ins for the services it depends on. An Argusic agent installed it in 8 minutes and hit 3 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Package installs cleanly in Python 3.12 venv. All 510 tests pass. CLI works (tradingagents --help OK, bare invoke OK). Web launcher and all core modules import successfully.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 92 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page. Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- 3 test_streaming_keeps_usage_stats tests failed due to test pollution: test_cli_default_command.py imports cli.main which calls load_dotenv() at module level, reading .env (from .env.example) and setting API keys to empty strings. conftest _dummy_api_keys fixture used os.environ.get(var, "placeholder") which returned empty string instead of placeholder for existing-but-empty vars, causing OpenAIClient.get_llm() to raise RuntimeError about missing DEEPSEEK_API_KEY15 minutes
- pip install failed due to externally-managed-environment (PEP 668) — system Python blocks global pip install2 minutes
- pytest not installed in the venv1 minute
- Install time
- 8 minutes
- Cold machine to finish
- 13 minutes
- Errors hit and fixed
- 3 hit, 3 fixed with no human help
- How the result was proved
- python -m pytest tests/ exited 0, 510 passed, 15 skipped (13 agent-sdk-optional, 1 google-genai-optional, 1 pdf-cjk-font), 48 subtests passed
- Model tokens used
- 96,420
- Exact commit tested
- b0594a4f2b8f
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
{
"msg": "3 test_streaming_keeps_usage_stats tests failed due to test pollution: test_cli_defau…
"fix": "Patched tests/conftest.py _dummy_api_keys fixture to check for falsy values (if not v…
"minutes": 15
}
],
"test_depth": "tier2_mock",
"verified_how": "python -m pytest tests/ exited 0 — 510 passed, 15 skipped (13 agent-sdk-optional…
"final_state": "Package installs cleanly in Python 3.12 venv. All 510 tests pass. CLI works (trad…
}
tokens used
96,420Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Installed in 8 minutes, faster than the median of the 3 comparable projects Argusic has measured.
- Recovered from all 3 errors without a human stepping in, which says the failures are documented well enough to solve.
- Licensed Apache-2.0, as reported by its host.
What did not, or is not known
- Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 4 a-share projects Argusic has installed and timed, TradingAgents-astock was the 2nd fastest to reach a running state, and 2 of 4 reached one at all.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 1/3 | Runs with mocks | 92.00 | 0.10 |
Topics (from GitHub)
a-shareai-agentchina-stocksclaudefintechinvestment-researchlanggraphllmmulti-agentpythonquantitative-financetrading-agents
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/tradingagents-astock)Questions
- Does TradingAgents-astock run?
- TradingAgents-astock runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 8 minutes, hitting 3 errors on the way, and recorded the session.
- How did Argusic test TradingAgents-astock?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit b0594a4f2b8f. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test TradingAgents-astock?
- The run that produced this verdict cost $0.10: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does TradingAgents-astock take to install?
- 8 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does TradingAgents-astock need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing TradingAgents-astock?
- 3 things broke in the recorded run, and 3 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does TradingAgents-astock compare with the alternatives?
- Of the 4 a-share projects Argusic has installed and timed, TradingAgents-astock was the 2nd fastest to reach a running state, and 2 of 4 reached one at all.
- Where is the evidence for TradingAgents-astock?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.