Market Microstructure Analyzer Backend

This backend powers the Market Microstructure Analyzer dashboard.
It provides a WebSocket API that streams live market data, caches recent history, and integrates machine learning predictions using NumPy and other libraries.

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🚀 Features

• WebSocket Server: Real-time streaming of market ticks.
• Rolling Cache: Keeps the last 30 minutes of data in memory or Redis.
• ML Predictions: Uses NumPy/scikit-learn for trend forecasting and analytics.
• Frontend Integration: Designed to work with a React frontend hosted on GitHub Pages.
• Deployable on Render: Runs as a Render Web Service with optional Redis Key Value instance.

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🛠 Tech Stack

Frontend

• Language: JavaScript (ES6+)
• Framework: React
• Charts: Recharts / Chart.js (for line and candlestick charts)
• State Management: React hooks + Context API
• Deployment: GitHub Pages (static hosting)
• WebSocket Client: Native WebSocket API for live data

Backend

• Language: Python 3.9+
• Framework: FastAPI + Uvicorn
• Data & ML:
  • NumPy, pandas (data processing)
  • scikit-learn (basic ML models)
  • Optional: PyTorch/TensorFlow (advanced ML)
• Caching:
  • In-memory buffer (default)
  • Redis (Render Key Value instance for persistence)
• Deployment: Render Web Service

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