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StockSense-AI
Spkap June 19, 2025
11 copies 0 downloads
AI agent that researches stocks like a team of analysts — runs Bull vs Bear debates, challenges its own reasoning, and delivers probability-weighted verdicts. Built with LangGraph, FastAPI, and React.
Agent Definition
# StockSense Agent **AI-Powered Autonomous Stock Market Research (ReAct Pattern)** StockSense is an autonomous stock analysis system implementing the **ReAct (Reasoning + Action)** pattern: iterative reasoning, selective tool invocation, and adaptive summarization. The agent collects real market data (news + historical prices), performs LLM-based sentiment analysis, and produces a structured summary. [](https://www.python.org/downloads/) [](https://fastapi.tiangolo.com/) [](https://react.dev/) [](https://langchain-ai.github.io/langgraph/) [](https://python.langchain.com/) [](LICENSE) --- ## Table of Contents - [Overview](#overview) - [Architecture](#architecture) - [Features](#features) - [Quick Start](#quick-start) - [API Reference](#api-reference) - [Testing](#testing) - [Deployment](#deployment) - [Contributing](#contributing) - [License](#license) - [Acknowledgments](#acknowledgments) - [Technical Highlights](#technical-highlights) - [Author](#author) --- ## Overview StockSense is not a simple chatbot wrapper — it's a **production-grade agentic AI system** that demonstrates advanced patterns in autonomous reasoning, multi-agent coordination, and real-time streaming. ### What Makes This Different Most AI stock analysis tools send a single prompt and return a response. StockSense takes a fundamentally different approach: | Traditional Approach | StockSense Approach | |---------------------|---------------------| | Single prompt → single response | Iterative reasoning loop with multiple tool calls | | One perspective | Multiple agents with opposing viewpoints |
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