# Daily Stock Analysis — LLM-Powered Multi-Market Stock Intelligence System

> An open-source LLM-driven system for multi-market stock analysis with multi-source data, real-time news, decision dashboards, and automated notifications.

## Install

Save in your project root:

# Daily Stock Analysis — LLM-Powered Multi-Market Stock Intelligence System

## Quick Use
```bash
git clone https://github.com/ZhuLinsen/daily_stock_analysis.git
cd daily_stock_analysis
pip install -r requirements.txt
cp config.example.yaml config.yaml
python main.py
```

## Introduction
Daily Stock Analysis is an open-source Python system that uses large language models to perform automated stock analysis across A-stock, US, and Hong Kong markets. It aggregates multi-source data, processes real-time news, and generates comprehensive reports with actionable insights.

## What It Does
- Fetches and consolidates stock data from multiple financial data sources
- Integrates with LLMs to generate natural-language analysis reports
- Monitors real-time news and market events affecting stock performance
- Produces decision dashboards for visualizing trends and signals
- Sends automated notifications when key signals trigger
- Supports A-stock, US, and Hong Kong markets in a unified workflow

## Architecture Overview
Built in Python with a modular pipeline: data collectors fetch market data and news, a processing layer normalizes the data, LLM modules generate structured reports, a dashboard layer renders results, and a notification service pushes alerts. Configuration is managed through YAML files.

## Self-Hosting & Configuration
- Requires Python 3.8+ with pip
- Configure API keys for data providers and LLM service in config.yaml
- Supports OpenAI-compatible APIs and local models
- Schedule runs via cron or system task schedulers
- All data stays on your infrastructure

## Key Features
- Multi-market coverage: Chinese A-shares, US equities, Hong Kong stocks
- LLM-generated contextual interpretation beyond raw numbers
- Multi-source data aggregation reducing single-source bias
- Customizable alerts on price movements, volume spikes, or news
- Report archiving for historical comparison

## Comparison with Similar Tools
- **FinGPT** — financial NLP research focus; this tool provides a ready-to-use pipeline with dashboards and notifications
- **OpenBB Terminal** — interactive terminal; this tool emphasizes automated daily reporting with LLM summaries
- **Qlib** — Microsoft's ML-driven trading platform; this tool targets daily intelligence reports

## FAQ
**Q: Which LLM providers are supported?**
A: OpenAI-compatible APIs, local models, and other providers with a compatible interface.

**Q: Is it suitable for automated trading?**
A: No. It provides analysis and reports to inform decisions but does not connect to brokerage APIs.

**Q: Can I add custom data sources?**
A: Yes. The data collector layer is modular with an adapter pattern for new sources.

## Sources
- https://github.com/ZhuLinsen/daily_stock_analysis

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Source: https://tokrepo.com/en/workflows/asset-aa7c6967
Author: AI Open Source