📈 Market-Pulse: Financial Analyst Agent

A specialized AI Agent focused on high-frequency market analysis and personalized investment insights using Vertical RAG.

Core Capabilities

• Multi-Source Sentiment Analysis: Scrapes financial news, RSS feeds, and social media trends to detect market sentiment shifts.
• Technical Indicator Fusion: Combines raw sentiment data with technical analysis (e.g., RSI, MACD, Bollinger Bands).
• Vertical RAG: Queries proprietary or industry-specific analyst reports to provide deep-dive insights on specific tickers.
• Automated Portfolio Health Checks: Generates automated summaries of how external economic events (e.g., inflation news) impact a specific portfolio.

Integration Path

This project utilizes the data collection logic from Python/01_Data_collector/:

• yfinance & pandas_datareader: For historical and real-time stock data.
• Google Trend & Blackkiwi: For public sentiment and keyword trend analysis.
• SQLAlchemy & SQLite: For structured data storage and historical trend comparison.
• Gmail & Telegram: For automated report distribution.

Roadmap

1. Phase 1: Building the data ingestion pipeline using existing collector scripts.
2. Phase 2: Developing the RAG engine for analyzing financial reports.
3. Phase 3: Implementing the Telegram Bot for real-time user interaction and alerts.