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AI/Machine Learning

Stoicism – Financial Multi-Agent Analysis Platform

An enterprise-grade financial research platform utilizing a Multi-Agent System (MAS) architecture to orchestrate specialized AI agents for comprehensive market data retrieval, technical analysis, and real-time news sentiment evaluation.

Category AI/Machine Learning
Role Full Stack Developer & AI Engineer
Impact 80% reduction in manual research time

Project Overview

Stoicism is a sophisticated financial research platform designed to revolutionize how analysts and investors conduct market research. By leveraging a Multi-Agent System architecture, the platform enables complex financial queries like "Analyze AAPL's risk profile and sentiment" to be processed in a single, seamless interaction.

The system orchestrates multiple specialized AI agents that work collaboratively to gather data, perform technical analysis, evaluate market sentiment, and generate comprehensive reports—all in real-time.

Project Screenshots

Dashboard View

Main Dashboard

The central command center showing real-time market data, AI chat interface, and portfolio overview.

Dashboard View

Stock Analysis View

Interactive charts with technical indicators, candlestick patterns, and AI-generated insights.

Dashboard View

Sentiment Analysis

Real-time news sentiment scoring with impact visualization on stock performance.

Dashboard View

Generated Reports

AI-generated comprehensive financial research reports with actionable recommendations.

Key Features

  • Multi-Agent Orchestration: LangGraph-powered workflow management enabling complex financial research queries through coordinated AI agents
  • Real-Time Market Data: Live integration with financial APIs for up-to-the-minute stock prices, trends, and market indicators
  • Sentiment Analysis Engine: Custom-built engine using VADER and LLMs to score breaking news impact on stock prices
  • Technical Analysis: Automated chart pattern recognition, trend analysis, and risk profiling
  • Interactive Visualizations: Recharts-powered dynamic charts and graphs for data exploration
  • Secure Authentication: JWT-based authentication system with role-based access control
  • Portfolio Management: User portfolio and watchlist tracking with automated alerts
  • Automated Reports: AI-generated comprehensive financial research reports

Technology Stack

Python

FastAPI

Next.js 16

TypeScript

TailwindCSS

LangGraph

SQLAlchemy

Recharts

Technical Highlights

  • Designed high-performance FastAPI backend with async/await patterns for handling concurrent financial data requests
  • Implemented LangGraph for managing complex multi-agent workflows with state persistence
  • Built glassmorphism UI design with responsive layouts and real-time conversational interface
  • Integrated SQLAlchemy/Aiosqlite for efficient data persistence of user portfolios and analysis history
  • Created modular agent architecture allowing easy addition of new specialized agents
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