金融时间序列(预测分析 / 相似度 / 数据处理)
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Updated
Jul 10, 2024 - Jupyter Notebook
金融时间序列(预测分析 / 相似度 / 数据处理)
MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series
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.
2025학년도 1학기 ML Finance Lab 및 자산운용
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.
2025년 금융을 위한 고급 파이썬 프로그래밍
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.
List of books on time series analysis, with links to code where available
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.
Financial Deep Neural Net & Causal Inference
2024학년도 2학기 Senior Risk Management 팀을 위한 학습자료
2024 하계 금융 시계열 데이터를 위한 머신러닝
Exercices about Object oriented programming.
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.
Repository for a USD/SGD exchange rate prediction model using LSTM and Random Forest, based on economic indicators and sentiment analysis from 2012-2022.
2024학년도 2학기 Senior ML Finance Team 학습자료
Probabilistic Logic Interpretation and Uncertainty Quantification of Neural Network Based Decision Making on Financial Time Series
2024학년도 2학기 Senior ML Finance Team 학습자료
Multi-modal RL trading agent (CNN + PPO) integrating market prices, macroeconomic indicators, and news signals . MSc dissertation artefact.
This is the code for the paper Adaptive Financial Time Series Classification: Leveraging Historical Samples from Signal-to-Noise Ratio Margins.
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