{"repo":"Jamie1377/STA410","free":true,"listed":false,"github":"https://github.com/Jamie1377/STA410","clone":"git clone https://github.com/Jamie1377/STA410.git","description":"A statistical computations and ML orientated Python package to predict stock price.","language":"Jupyter Notebook","stars":37,"topics":["linear-algebra","optimization-algorithms","python","quantitative-finance","stock-price-prediction","time-series-analysis","yfinance-api","computing","feature-engineering","hyperparameter-tuning"],"license":"LGPL-3.0","category":"trading","readme_excerpt":"STA410 Stock Prediction System Overview This is a comprehensive Python package for stock price prediction that combines statistical time series analysis with advanced machine learning techniques. The system integrates traditional forecasting methods with gradient boosting models and Hidden Markov Models to provide accurate stock price predictions. Key Features - Hybrid Modeling Approach : Combines ARIMA, exponential smoothing, gradient boosting, and custom models - Extensive Feature Engineering : Automatically calculates technical indicators and market features - Multiple Prediction Horizons : Supports forecasting at various time intervals - Comprehensive Evaluation : Includes metrics and visualization tools for model assessment - Easy Integration : Simple API for incorporating into existing workflows Installation For optimal performance, use NumPy version 1.26.4 : Quick Start Core Components StockPredictor The main interface for interacting with the system. It handles data loading, feature engineering, model training, and forecasting. Modeling Approaches - ARIMAXGBoost: A hybrid model combining ARIMA time series analysis with gradient boosting - Hidden Markov Models: Captures underlying market regimes and state transitions - Custom Gradient Descent: Specialized implementation with momentum and adaptive learning Feature Engineering The system automatically calculates numerous technical indicators: - Moving averages (50, 200, 7, 21-day) - Momentum indicators (RSI, MACD, Willia","default_branch":null,"files":null,"tree":[],"storefront":"/r/Jamie1377","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Jamie1377/STA410/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}