AutoStock is an advanced framework that integrates diverse data sources to provide a holistic analysis of stock performance and predict future trends.
Designed for investors seeking informed decision-making,
AutoStock combines market information, macroeconomic policies, sentiment analysis, and both fundamental and technical indicators.
## Market Information Integration
Real-time and historical data on major stock indices and market movements.
Analysis of macroeconomic factors and their impact on the market.
## Policy & Sentiment Analysis
Keeps you updated with the latest regulatory changes and policy developments.
Utilizes sentiment analysis to gauge market mood from news and social media.
## Individual Stock Analysis
Tracks performance metrics, including price movements and trading volumes.
Conducts in-depth fundamental analysis of company financials.
Employs technical indicators to identify trends and potential trading signals.
## Comprehensive Trend Forecasting
Combines all data sources for accurate prediction of stock movements.
Leverages machine learning algorithms for enhanced forecasting capabilities.
Preparation
prepare your tushare token and openai API key
git clone https://github.com/jackyideal/Auto-Stock-Agent.git
cd Auto-Stock-Agent
pip install -r requirements.txt
python main.pyIf you use Auto-Stock-Agent in your work, please cite this github link in your paper.