simonlin1212/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。 observed · 2026-08-28
Health v2 · maintenance only
80/100
- Activity 98
- Release rhythm 98
- Longevity 8
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 2
- age_days: 113
- days_rel: 14
- days_push: 14
- n_releases_24m: 22
Adoption not part of the score
3080 stars · 799 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Python multi-agent investment research framework for China's A-share market, deeply forked from TauricResearch/TradingAgents. It runs 7 specialized AI analysts (market, sentiment, news, fundamentals, policy, hot-money, lockup) with bull/bear debate and risk assessment, using free A-share data sources and A-share trading rules.
Use cases
- generate AI investment research reports for A-share stocks
- run multi-agent bull vs bear debate on Chinese stocks
- analyze A-share data like dragon-tiger list and lockup expirations
- reproduce the TradingAgents paper on China market data
- backtest analyst decisions against CSI 300 benchmark
- research tool for teaching LLM-based financial analysis
When to choose
- you need A-share-specific analysis with T+1, price-limit, and lot-size rules
- you want free direct-connect Chinese market data sources
- you want a multi-agent LLM debate pipeline for stock research
- you need Chinese-language research reports
When to avoid
- you need US or other non-China market analysis
- you want production trading signals or actual investment advice
- you need a lightweight single-agent stock screener
- you require guaranteed real-time low-latency market data
Facets
framework · maturity active
agent-framework llm-inference rag data-science trading artificial-intelligence large-language-models fintech data-science python cross-platform cli a-share china-stocks multi-agent langgraph investment-research bull-bear-debate trading-agents fintech ai-agents quantitative-finance
1 source
- readme: https://github.com/simonlin1212/TradingAgents-astock · fetched 2026-08-28 · acdd52b6ba97
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| simonlin1212/TradingAgents-astock | main | 80 |
For agents
markdown · JSON · MCP: product_card(name="simonlin1212/TradingAgents-astock")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem