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A hybrid forecasting model combining LSTM for sequence prediction and ARIMA for error correction. This repo demonstrates improved accuracy in financial trend prediction, showcasing training process…
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
python pandas pyecharts streamlit echarts
Code and Data for Harold's Quant Channel Factor Training Series 哈罗德的量化频道 --- 因子实战系列全部 数据+代码文件
Computational Physics B at USTC, 2024 Fall.
Equity return and characteristics of China A-Share market
Full lists of US Securities on the NASDAQ, NYSE, and AMEX powered by GitHub Actions
Mathematics for Economists (Matlab Live Codes)
Code and documents from Econ 690 at Duke
Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
A theme for Slidev, inspired by the Frankfurt theme in Beamer.
MACS 40200 (Winter 2020): Structural Estimation
This project replicate the findings of "Asset Growth and the Cross-Section of Stock Returns" by Cooper, Gulen, and Schill (2008).
China province/city/country geoJSON data
Hands-on Exploratory Data Analysis with Python, published by Packt
虽然现在很多算法都有现有的库可以使用,但是我们不能成为"调包侠".我将从0开始实现自己接触到的一些算法.
Code Repository for The Kaggle Book, Published by Packt Publishing
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
本项目旨在提供一组工具，帮助数据科学家和机器学习工程师更有效地处理和优化他们的数据集和模型。本工具集能够处理包括但不限于数据不平衡、未标记数据利用、样本难度过滤、以及训练集的动态增强等挑战。
LaTeX Thesis Template for Southwestern University of Finance and Economics
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …