rtik007/stock-prediction-hybrid-model
0
Hybrid Stock Price Prediction
A machine learning pipeline that combines LSTM neural networks with Large Language Models (LLMs) for stock price prediction.
Features
- Hybrid Prediction Approach: Combines traditional LSTM models with LLM-based predictions
- Stock Value Formula: Implements Graham's formula
√(22.5 * EPS * Book Value)for intrinsic value calculation - Intersection Analysis: Identifies points where both models agree, potentially indicating strong signals
- Interactive UI: Gradio-based interface for easy interaction and visualization
- MLOps Best Practices: Includes logging, testing, CI/CD, and experiment tracking