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market-prediction

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Simple Finance Forecasting Ai. This Ai Model uses historical price data to forecast future prices. The model is trained on data downloaded from Yahoo Finance using the yfinance library, and predictions are made using a linear regression Ai model from sklearn. The model supports all the symbols supported by Yahoo Finance.

  • Updated Dec 28, 2024
  • Python

An end-to-end Python implementation of Cao et al.'s (2025) HLPPL methodology for the identification of financial (asset price) bubbles. Implements 7-parameter Log-Periodic Power Law model fitting, confidence-weighted sentiment analysis, regime-dependent 'BubbleScore' fusion, and Transformer-based forecasting with a backtesting framework.

  • Updated Oct 16, 2025
  • Jupyter Notebook

Analyze and forecast natural gas prices using time series data, with seasonality decomposition and signal detection for trading strategy insights.

  • Updated Oct 1, 2025
  • Jupyter Notebook

This repository contains a Generative Adversarial Network (GAN) model designed to predict the closing prices in the financial market. The GAN utilizes a combination of generator and discriminator networks to generate synthetic closing price data, which can be used for forecasting and analysis purposes.

  • Updated May 25, 2023
  • Jupyter Notebook

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