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FinnewsHunter
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FinnewsHunter

Active·★ 1.5k·Apache-2.0·Updated 2026-10-01
★ Trending★ Essential

FinnewsHunter is a multi-agent platform that turns financial news into investment research. Built on the AgenticX framework, it monitors Chinese financial news sources such as Sina Finance in real time, and deploys agent teams (a NewsAnalyst, a Researcher and others) to analyse sentiment and market impact, including a debate workflow in which agents argue different views before reaching a conclusion.

It is aimed at developers and quantitative researchers interested in agent-driven analysis of the Chinese A-share market. It combines news analysis with market data from akshare, showing daily and minute K-line charts, supports fuzzy search across more than 5,000 A-share stocks, and offers keyword search over news with highlighting. It supports five LLM providers (Alibaba Bailian, OpenAI, DeepSeek, Kimi and Zhipu) switchable from the front end, and uses a full stack of FastAPI, PostgreSQL, Milvus, Redis and React with background vectorisation.

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Getting started: start the infrastructure (PostgreSQL, Redis and Milvus) with Docker Compose, install the backend Python dependencies, start the Celery workers, and run the React front end, following the project's quick-start guide.

#Multi-Agent System#Financial Analysis#LLM#Quantitative Trading#Docker#Data Analysis
$ Install
$ pip install -e .
↗ Visit site★ GitHub
01

Features

01Deep integration with AgenticX framework for agent-driven workflows.
02Multi-agent team (e.g., NewsAnalyst) for automated news sentiment and market impact analysis.
03Supports 5 major LLM providers with one-click switching.
04Integrated real-time stock K-Line analysis with Akshare data.
05Production-ready deployment via Docker Compose.
02

Why choose it

+Combines real-time news, sentiment analysis, market data and multi-agent debate in one system.
+Supports major Chinese and international model providers.
+Complete, production-style stack with search and background vectorisation.
+Apache-2.0 licensed.
03

Trade-offs

!Outputs are model-generated analysis, not investment advice; verify everything before making financial decisions.
!Focused on Chinese news sources and the A-share market.
!Heavy deployment: PostgreSQL, Milvus, Redis and Celery workers are all required.
04

Compatibility

AgenticX
Native
Verified via docs
Bailian
Supported
Verified via docs
OpenAI
Supported
Verified via docs
DeepSeek
Supported
Verified via docs
Kimi
Supported
Verified via docs
Zhipu
Supported
Verified via docs
05

Quick start

1
$ pip install -e .
06

Use cases

↳Providing decision-level alpha signals for quantitative trading.
↳Real-time monitoring and deep analysis of financial news across multiple sources.
↳Identifying potential investment opportunities and risks through sentiment analysis and knowledge graphs.
07

How it compares

≈vs TrendRadar: TrendRadar monitors trending topics across Chinese platforms and pushes alerts; FinnewsHunter focuses on financial news and investment analysis.
≈vs QuantDinger: QuantDinger is a quantitative trading platform with backtesting and live execution; FinnewsHunter focuses on news-driven research.
≈vs BettaFish: BettaFish is a general multi-agent public-opinion analysis system; FinnewsHunter specialises in finance.
08

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07
How it compares
08Alternatives
Stats
GitHub Stars★ 1.5k
Last commit1w ago
StatusActive
LicenseApache-2.0
CategoryData Processing
Trend (30d)
+0k↑ 4.6%
Links
Documentation↗Discussion↗Issues↗Releases↗

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