DemonDamon/FinnewsHunter
FinnewsHunter: Multi-agent financial intelligence platform powered by AgenticX. Real-time news analysis, sentiment fusion, and alpha factor mining. observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 91
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3111
- days_rel: n/a
- days_push: 59
- n_releases_24m: 0
Adoption not part of the score
1487 stars · 341 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
FinnewsHunter is a multi-agent financial intelligence platform built on the AgenticX framework that monitors Chinese financial news sources in real time, performs LLM-driven sentiment analysis and market impact assessment, and mines alpha signals for quantitative trading. It ships as a full-stack system with a React frontend, FastAPI gateway, PostgreSQL/Milvus/Redis storage, and Docker Compose deployment.
Use cases
- analyze financial news sentiment for stock trading
- mine alpha factors from real-time news streams
- monitor Chinese financial news sources automatically
- assess market impact of breaking news with LLMs
- run multi-agent debate workflows for investment research
- combine news analysis with stock K-line data
- build a quant research news pipeline
When to choose
- you need LLM-driven sentiment and impact analysis of Chinese financial news
- you want a production-ready, self-hosted multi-agent news analysis stack with Docker deployment
- you're building quant strategies that consume news-derived alpha signals
- you want multi-provider LLM support and vector search over news
When to avoid
- you need coverage of non-Chinese financial news sources
- you want a lightweight library to embed in an existing pipeline rather than a full platform
- you have no LLM API access or budget for inference costs
- you need guaranteed-accurate trading signals - outputs are decision support, not advice
Facets
application · maturity active
agent-framework nlp machine-learning rag web-scraping data-visualization search-engine vector-database api-framework chatbot fintech artificial-intelligence data-science analytics large-language-models python self-hosted cross-platform fintech quant-finance sentiment-analysis alpha-signals multi-agent news-analysis agenticx fastapi milvus react ai-agents natural-language-processing docker web-server
1 source
- readme: https://github.com/DemonDamon/FinnewsHunter · fetched 2026-08-28 · 1d6de1fdc7be
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| DemonDamon/FinnewsHunter | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="DemonDamon/FinnewsHunter")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem