Building a Financial Research Agent with ReAct, LangGraph, and LangChain

The provided code defines four financial analysis tools for a stock trading agent using Python and the yfinance library. Each tool fetches different types of data:

1. Financial Indicators: Retrieves fundamental financial metrics such as price-to-earnings ratio, earnings per share, and other key figures.
2. News Sentiment Analysis: Analyzes recent news articles to score sentiment based on positive or negative keywords related to the stock.
3. Technical Indicators: Calculates technical analysis indicators like RSI, MACD, SMAs, and volume analysis over the last 200 days of price data.
4. Analyst Ratings: Collects professional analyst ratings and consensus recommendations along with average target prices.

These tools are designed to provide a comprehensive overview for making informed trading decisions by integrating fundamental, sentiment, technical, and expert analyses.

Read the full article at Towards AI - Medium

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