Demo of Stock Trading Using RAG: Leveraging Diverse Data Sources for Enhanced Trading Insights
Explore how the Retrieval-Augmented Generation (RAG) model transforms stock trading by integrating insights from various data sources into your investment strategy. This demonstration highlights the use of RAG in conjunction with Azure AI Search, showcasing the model's ability to provide targeted trading recommendations based on your personal stock portfolio.
Key Data Sources Utilized:
Reddit: Gathers community sentiment and discussions on stock movements.
Yahoo Finance: Provides up-to-date financial data and market trends.
US Securities and Exchange Commission (SEC) 10-Q Reports: Offers detailed quarterly financial reports for comprehensive analysis.
Personal Portfolio: Tailors advice by considering your specific investment holdings.
News API: Delivers real-time news to capture market-moving events.
This demo illustrates the application of RAG for customizing trading strategies by analyzing a broad range of data sources. By uploading custom documents to Azure AI Search and utilizing tailored chat prompts, users receive personalized investment insights, enhancing decision-making in stock trading.
Project name
Stock Trading Using RAG
Description
Demo of Stock Trading Using RAG: Leveraging Diverse Data Sources for Enhanced Trading Insights
Explore how the Retrieval-Augmented Generation (RAG) model transforms stock trading by integrating insights from various data sources into your investment strategy. This demonstration highlights the use of RAG in conjunction with Azure AI Search, showcasing the model's ability to provide targeted trading recommendations based on your personal stock portfolio.
Key Data Sources Utilized:
Reddit: Gathers community sentiment and discussions on stock movements. Yahoo Finance: Provides up-to-date financial data and market trends. US Securities and Exchange Commission (SEC) 10-Q Reports: Offers detailed quarterly financial reports for comprehensive analysis. Personal Portfolio: Tailors advice by considering your specific investment holdings. News API: Delivers real-time news to capture market-moving events. This demo illustrates the application of RAG for customizing trading strategies by analyzing a broad range of data sources. By uploading custom documents to Azure AI Search and utilizing tailored chat prompts, users receive personalized investment insights, enhancing decision-making in stock trading.
Language
English
Project Repository URL
https://github.com/01graut/stock-analyzer-rag
Deployed Endpoint URL
No response
Project video
https://youtu.be/9zlDbEaJO38
Team members
01graut, cheetiralasatyanarayana
Showcase Consent
Yes