Avian Quantitative Research Assistant is a sophisticated tool designed for quantitative traders and analysts. It provides advanced features for optimizing trading strategies, analyzing market sentiment, managing portfolios, and conducting comprehensive research. This assistant leverages real-time data and powerful algorithms to support informed financial decision-making.
- Analyze and Optimize: Evaluate and refine trading strategies under various market conditions.
- Backtesting: Test strategies using historical data to enhance performance.
- Performance Metrics: Access detailed performance metrics for your strategies.
- Sentiment Analysis: Gain insights into market sentiment using advanced NLP models.
- Trend Detection: Identify emerging market trends and shifts.
- Predictive Analytics: Utilize predictive models to anticipate future market movements.
- Real-Time Stock Price Retrieval: Access up-to-date stock prices to make timely investment decisions.
- Portfolio Rebalancing: Automatically rebalance your portfolio to maintain optimal asset allocation.
- Risk Assessment: Assess and manage portfolio risk with comprehensive tools.
- Quant Research Assistant: Get answers to queries related to quantitative finance and related fields.
- Financial Report and Dossier Summarizer: Summarize complex financial reports and dossiers for easier analysis.
- Clone the repository:
git clone https://github.com/pylhr/avian-quantitative-research-assistant.git
- Install the dependencies:
pip install -r requirements.txt
- Run the app:
streamlit run app.py
- Strategy Analyzer: Upload trading strategy scripts, configure market conditions, and run analyses to generate detailed reports.
- Market Sentiment: Use built-in data feeds or your own inputs to analyze market sentiment and detect trends.
- Portfolio Management: Connect your portfolio and use the provided tools for optimization and risk management.
- Research Tools: Utilize the quant research assistant for financial queries or summarize reports using the dossier summarizer.
This project is proprietary and is licensed under a custom license. See the LICENSE file for more details.