📈 StockPredict AI

AI-powered stock market prediction and analytics platform.

Predict future stock prices using Machine Learning and Deep Learning models, analyze live market data, technical indicators, and financial news sentiment — all from one intelligent dashboard.

🔗 Live Demo: stock-predicator.vercel.app

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✨ Features

• 📈 Real-Time Market Data — Live stock prices and historical trends
• 🤖 AI Stock Prediction — Forecasts powered by Machine Learning and Deep Learning models
• 📊 Technical Indicators — RSI, EMA, SMA, MACD, Bollinger Bands, and more
• 📰 News Sentiment Analysis — NLP-based analysis of financial news to gauge market sentiment
• Dashboards for Markets, Predictions, Watchlist, Portfolio, Alerts, and News

🧠 Machine Learning Models

Category	Model	Purpose
Traditional ML	Random Forest	Ensemble learning across multiple decision trees for accurate, low-overfit predictions
Deep Learning	LSTM	Captures long-term dependencies in stock price sequences for time-series forecasting
Technical Analysis	RSI / EMA / SMA / MACD / Bollinger Bands	Classic indicators for trend and momentum analysis
NLP	News Sentiment	Analyzes financial news to estimate market sentiment

🛠️ Tech Stack

Frontend: Next.js (TypeScript, App Router, Tailwind CSS) Backend: FastAPI (Python), Pydantic Deployment: Vercel (frontend), Render (backend) — see render.yaml Containerization: Docker Compose

🚀 Getting Started

Backend

cd backend
python -m venv venv
source venv/bin/activate        # Windows: venv\Scripts\activate
pip install fastapi "uvicorn[standard]" pydantic pydantic-settings python-dotenv
uvicorn app.main:app --reload --port 8000

Visit http://localhost:8000/health and http://localhost:8000/docs

Frontend

cd frontend
npm install
npm run dev

Visit http://localhost:3000

📌 Roadmap

• Database models
• Full API endpoints beyond /health
• Authentication
• Dockerized local Postgres/Redis for development

👤 Author

Arsh Srivastava

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