🔍📈 AnalyzeGPT - cryptassist

AnalyzeGPT is a hack-the-burgh-11 competition for QRT challenge outcome!

Unlock Crypto Market Insights with AI-Powered Analysis
Your intelligent assistant for cryptocurrency market analysis and trading strategy generation

How to run

In order to run locally:

1. activate backend: fastapi run api.py
2. activate frontend: npm run dev
3. activate voice handling backend
4. activate ngrok

🚀 Key Features

• CSV Data Integration 📁
  Upload custom cryptocurrency market data for personalized analysis
• Real-Time Market Updates ⏱️
  Automatic crypto data refresh every 30 minutes via API integration
• AI-Powered Insights 🤖
  Discover hidden patterns and correlations using advanced ML algorithms
• Interactive Visualization 📊
  Dynamic React-based charts for market trend analysis
• Multi-Modal Interaction 💬📞
  Chat interface with text/voice input and phone call integration
• Local LLM Support 🖥️
  Run analysis locally using Ollama framework
• Strategy Generation 💡
  Get personalized trading strategies based on your data

⚙️ How It Works

graph TD
    A[User Input] --> B{Input Type}
    B -->|CSV Upload| C[Data Processing]
    B -->|Market Query| D[Real-Time API Check]
    C --> E[AI Analysis]
    D --> E
    E --> F[Pattern Recognition]
    F --> G[Strategy Generation]
    G --> H[Visualization & Report]

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📦 Installation

1. Clone Repository

   git clone https://github.com/yourusername/analyze-gpt.git
   cd analyze-gpt

2. Set Up Backend

   cd backend
   pip install -r requirements.txt
   python main.py

3. Configure Frontend

   cd frontend
   npm install
   npm run dev

4. Environment Setup

   cp .env.example .env
   # Add your API keys and configurations

📖 Usage Guide

1. Data Upload

   # Sample CSV format
   Timestamp,Open,High,Low,Close,Volume
   2023-01-01 00:00:00,42000.50,42500.75,41800.30,42250.60,1500.45

2. Example Queries 💬

   • "What trading strategy works best with my CSV data?"
   • "Show correlation between BTC volume and price changes"
   • "Predict next week's ETH trend based on historical patterns"
   • "Connect call to discuss latest market trends"

3. Analysis Workflow

   • Upload CSV through web interface
   • Wait for automated data validation
   • Choose analysis mode: Quick Scan/Deep Dive
   • Receive visual report + strategy suggestions

🛠️ Tech Stack

Component	Technology
Frontend	React, Recharts, WebRTC
Backend	FastAPI, Python
ML Processing	PyTorch, Langchain
Real-Time Data	CCXT, Binance API
Local LLM	Ollama, Llama2
Visualization	D3.js, Plotly

🗺️ Roadmap

• Fix Server Error Handling (Priority 1)
• Implement Real-Time API Integration
• Develop ML Strategy Engine
• Add Phone Call Interface
• Optimize Local LLM Performance
• Create Mobile App Version

Contribution Guidelines 🤝

1. Fork repository
2. Create feature branch
3. Submit PR with detailed description
4. Follow coding standards
5. Include test cases

License 📄

MIT License - See LICENSE for details

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Made with ❤️ by analyze-gpt team