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financial-time-series

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This repository contains the official source code and data for the research paper: Enhancing stock price forecasting with a modular deep learning framework incorporating plug-and-play Transformer variants.

  • Updated Dec 22, 2025
  • Python

QuantifiLib is a modular Python library for event-driven strategy research, developed by Quantifi Sogang. It supports data loading, signal engineering, backtesting, portfolio optimization, time series modeling, and causal inference for systematic finance.

  • Updated Aug 10, 2025
  • Python

Explore NVIDIA's stock dynamics with this project, using a mix of traditional and deep learning models to forecast stock prices and analyze the influence of market sentiment. Integrates ARIMA, LSTM, and more to provide deep insights.

  • Updated Apr 16, 2025
  • Python
AutoML-Asset-Pricing-Pipeline

An end-to-end Automated ML pipeline for empirical asset pricing & DJI forecasting. Bridges econometric rigor with modern AI using H2O AutoML. Features include advanced preprocessing (Winsorization, ADF), statistical validation via the Diebold-Mariano test, and model explainability using SHAP values. Optimized for reproducible quantitative research.

  • Updated Nov 29, 2025
  • Jupyter Notebook

Repository for a USD/SGD exchange rate prediction model using LSTM and Random Forest, based on economic indicators and sentiment analysis from 2012-2022.

  • Updated Apr 12, 2025
  • Jupyter Notebook

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