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Sai-ban111/ADVANCED-STOCK-MARKET-INTELLIGENCE-AND-PREDICTION-SYSTEM

sourceHugging Faceupdated 5mo agoView on Hugging Face

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App README

APEX AI: Advanced Stock Market Intelligence v3.0

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APEX AI is a professional-grade stock market analysis and prediction system. It combines deep learning (LSTM/TCN), real-time data orchestration, and a 3-gate confluence engine to deliver high-conviction trading signals.

🚀 Key Features

—3-Gate Confluence Engine: Signals only pass if they clear three distinct hurdles:
—Gate 1 (Volatility): Predictive "cone" width must be within stable bounds.
—Gate 2 (Sentiment): Real-time FinBERT analysis of latest news must align with the signal.
—Gate 3 (Technical): RSI and momentum indicators must confirm the entry/exit.
—Async High-Performance Screener: Concurrently analyzes the entire NSE watch-list in seconds using asyncio.
—Mission Control Dashboard: A premium, real-time interface featuring:
—Live Market Pulse (Nifty 50, VIX, FII/DII Flows).
—Neural Forecast Charts with P10/P50/P90 confidence intervals.
—Interactive Sparklines and Sentiment Gauges.
—Paper Trading Simulator: Realistic portfolio management with historical performance tracking.
—SEBI Bulk Deal Integration: Track institutional footprints directly from NSE data.

🛠️ Tech Stack

Backend

—Core: Python 3.10+ & FastAPI
—AI/ML: TensorFlow 2.15, TFLite (with Flex Ops), Scikit-Learn
—Data: yfinance (Hardened Session), Pandas, NumPy
—NLP: Transformers (FinBERT) for sentiment analysis

Frontend

—Framework: React 18 (Vite) + TypeScript
—Styling: Tailwind CSS (Glassmorphism UI)
—Charts: Lightweight Charts (TradingView), Recharts
—State Management: Zustand
—Icons: Lucide React

📦 Installation

Prerequisites

—Node.js 18+
—Python 3.10+

1. Setup Backend

bash

git clone https://github.com/Saighodke00/AI-Stock-market-prediction-master-0001.git
cd AI-Stock-market-prediction-master-0001
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
python main.py

2. Setup Frontend

bash

cd frontend
npm install
npm run dev

🏗️ System Architecture

—main.py: FastAPI backend entry point and signal orchestration.
—utils/data_pipeline.py: Robust data fetching and feature engineering.
—utils/sentiment.py: News scraping and FinBERT sentiment scoring.
—models/: Pre-trained LSTM and TCN models (Keras & TFLite).
—frontend/src/: Modern React dashboard components.

👥 The Team

—Sai Narendra Ghodke - Lead AI Architect
—Sunraj Shetty - Quantitative Analyst
—Siddhartha Vijay Bhosale - Full-Stack Engineer

📜 License

Educational Purpose Only. Built with ❤️ for financial intelligence.