https://github.com/Shayan925/FinanceBro

Finance AI agent with RAG pipeline for accurate information.
https://github.com/Shayan925/FinanceBro

oauth postgresql react sqlite supabase taillwindcss vite zustand

Last synced: 6 months ago
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Finance AI agent with RAG pipeline for accurate information.

• Host: GitHub
• URL: https://github.com/Shayan925/FinanceBro
• Owner: Shayan925
• Created: 2025-03-23T20:18:46.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-23T20:29:09.000Z (about 1 year ago)
• Last Synced: 2025-03-23T21:25:50.081Z (about 1 year ago)
• Topics: oauth, postgresql, react, sqlite, supabase, taillwindcss, vite, zustand
• Language: TypeScript
• Homepage:
• Size: 465 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# FinanceBro: AI-Powered Financial Analysis Agent

FinanceBro is an AI-driven financial analysis platform that leverages LLM capabilities alongside retrieval-augmented generation (RAG) pipelines and agent loops. Designed for financial analysts and up and coming "finance bros" that explains reasoning through natural language processing (NLP) models. The platform integrates real-time data ingestion, technical indicators, and research-driven insights to provides real-time stock analysis, portfolio recommendations, and market insights.

![FinanceBro Screenshot](https://github.com/Shayan925/finance-bro/blob/main/Screenshot.png)

## Features & Functionality

### 🔍 Real-Time Financial Data Integration

- **Stock Market Data** via Yahoo Finance API

- **Cryptocurrency & Meme Coin Data** via DexScreener API

- **Real Estate Market Data** using location-based inputs

- **Financial News Sentiment Analysis** for daily market impact reports

### 🎨 Interactive User Experience

- **AI-Generated Reports**: Daily financial summaries and predictions

- **Technical Analysis Charts**: Interactive visualizations with trend indicators

- **Buy/Sell Recommendations**: AI-backed trading signals

- **Customizable Investment Profile**: Users provide age, risk tolerance, and goals

- **Personalized Research Links**: AI-generated suggestions for further exploration

### 🔒 Secure & Seamless Authentication

- **Supabase Backend** set up for database and authentication

- **Google OAuth Integration** for secure login

| Category       | Technologies                                                                 |

|----------------|-----------------------------------------------------------------------------|

| Frontend       | React, TypeScript, TailwindCSS, Vite                                        |

| Backend        | Supabase, RestAPIs                           |

| Database       | PostgreSQL                                                              |

| Deployment     | Docker, Docker Compose                                                      |

## System Architecture

1. **User inputs investment profile details** (age, risk level, goals, location, etc.)

2. **Chatbot processes queries** and fetches relevant financial data

3. **AI applies sentiment analysis & technical indicators**

4. **Results are displayed** via interactive charts, recommendations, and reports

5. **AI-generated insights are delivered daily** based on financial trends

6. **Secure authentication required** before sending first message

The chatbot will **cite sources and provide research links** where applicable to ensure credibility.

## Future Enhancements

- **Options Trading Support**: AI-generated strategies for derivatives

- **Portfolio Optimization**: Personalized asset allocation suggestions

- **AI Voice Integration**: Voice-enabled chat interactions

- **Social Sentiment Analysis**: Reddit & Twitter finance trends monitoring

- **Expanded Real Estate Insights**: Notifications based on news data that could affect the user's portfolio