Live AI Index Predictor & Option Analyzer

Project Title:
AI-Based Index Movement Prediction Tool for NSE/BSE (Phase 1 & Phase 2)

Project Objective:
To develop a web-based tool that predicts the movement and price range of major Indian stock indices (Nifty, Sensex, etc.) across different timeframes. The project will be delivered in two phases:

Phase 1: Develop the core prediction tool with a live dashboard.

Phase 2: Integrate an option premium analyzer to suggest optimal strikes for option selling.

Phase 1: Index Movement Prediction Tool
Scope of Work:
Data Integration:

Collect historical OHLCV data for indices from NSE/BSE.

Set up live data feed via broker APIs (Zerodha, Upstox, etc.).

Feature Engineering:

Calculate technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands).

Optional: Integrate news sentiment analysis.

Model Development:

Use ML models (LSTM, XGBoost, etc.) to predict index direction and price range across timeframes (15m, EOD, weekly, monthly).

Backtesting:

Implement a backtesting module to validate the model using historical data and provide performance metrics.

Frontend Dashboard:

Develop a user-friendly web interface (using Streamlit or Dash) to display predictions, charts, and key metrics.

Ensure the dashboard updates in real-time for intraday predictions.

Source Code Ownership:

Full source code and documentation to be handed over to the client.

Timeline:
Phase 1 completion: TBD

Phase 2: Option Premium Analyzer
Scope of Work:
Option Chain Integration:

Fetch real-time option chain data for indices (Nifty, Bank Nifty) from broker APIs.

Option Premium Analysis:

Analyze option premiums, implied volatility, and other Greeks.

Suggest optimal strikes for safe option selling strategies based on current market conditions.

Dashboard Enhancement:

Update the existing dashboard to include option analysis results and recommendations.

Source Code Ownership:

Full source code and documentation to be handed over to the client.

Timeline:
Phase 2 completion: TBD

Skills Required:
Python (Pandas, Scikit-learn, PyTorch/TensorFlow)

Experience with financial market data and APIs

Streamlit or Dash for the frontend

Experience with option chain data and option pricing models (for Phase 2)