Bourse leverages OpenAI’s ChatGPT and up-to-date financial data to let investors filter and compare stocks using natural language prompts, delivering structured results and insights without coding.
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Bourse
Bourse leverages OpenAI’s ChatGPT and up-to-date financial data to let investors filter and compare stocks using natural language prompts, delivering structured results and insights without coding.
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What is Bourse?
Bourse is an AI agent designed for investors and analysts to streamline stock screening. It ingests financial statements and market data for thousands of publicly traded US companies, allowing users to ask questions like “Show me tech stocks with P/E under 20 and revenue growth above 15%.” The agent processes natural language queries, computes metrics, filters results, and provides concise, exportable outputs. With support for sector grouping, custom metrics, and trend analysis, Bourse turns complex spreadsheets into simple conversational queries.
Who will use Bourse?
- Individual investors
- Financial analysts
- Portfolio managers
- Quantitative researchers
- Fintech enthusiasts
How to use the Bourse?
- Step1: Visit the Bourse web app or clone the GitHub repo.
- Step2: Configure your OpenAI API key as an environment variable.
- Step3: Launch the app (web interface or CLI).
- Step4: Type a natural language query about financial metrics or screening criteria.
- Step5: Review the filtered list of stocks and detailed metrics.
- Step6: Export results to CSV for further analysis.
Platform
- Web
Bourse's Core Features & Benefits
The Core Features
- Natural language stock screening
- Fundamental metrics filtering
- Sector grouping and comparisons
- Data export to CSV
- Daily updated market fundamentals
The Benefits
- Speeds up investment research
- Reduces manual spreadsheet work
- Accessible without coding skills
- Customizable screening criteria
- Data-driven investment insights
Bourse's Main Use Cases & Applications
- Finding undervalued stocks by custom financial metrics
- Analyzing sector rotations and trends
- Conducting due diligence for IPO investments
- Diversifying portfolios using filter criteria
- Backtesting screening strategies
Bourse's Pros & Cons
The Pros
High-performance implementation using Rust for efficiency
Python interface for ease of use and integration
Supports agent-based models and reinforcement learning applications
Comprehensive API and simulation features
The Cons
No clear indication of open-source availability
Lack of direct links to community or support platforms
No pricing information provided
FAQs of Bourse
Bourse Company Information
- Zombie Einstein
Bourse Reviews
5/5
Bourse's Main Competitors and alternatives?
Finviz
Yahoo Finance Stock Screener
Koyfin
Stock Rover
Zacks Screener
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