Siyang Liu's repositories
QuantResearch
Quantitative analysis, strategies and backtests
akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
backtrader-pyqt-ui
Easy to use backtrader UI
backtrader_plotting
Plotting addon for backtrader to support Bokeh (and maybe more)
Dash_eth
This project is trying to fetch real time balance & orderbook of ETH and visualise using dash
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ESL-Note
ESL-Note 是阅读 ESL中文版 的笔记。笔记中对书中出现的公式进行了详细的推导，习题也进行了求解，与中文版中的做法有所差异并且加入了知识补充和扩展部分。
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
ggiplot
ggplot2 Equivalents of fixest::iplot()
gs-quant
Python toolkit for quantitative finance
HFT-Orderbook
Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C
hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
hummingbot
Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain
hummingbot_chinese
hummingbot中文资源
jqfactor_analyzer
聚宽单因子分析工具
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
Leetcode-2
🎓Leetcode solutions in Python 📚
LSTM-1
基于LSTM神经网络的时间序列预测
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
MultiFactor
Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial engineering report. Steps include factor data collection and preprocessing, factor combination, portfolio optimization and risk return analysis.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pythondict-quant
Quant Examples Based on Backtrader.
pytorch-lightning-template
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.
pytorch-notebooks
code for deep learning courses
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
Quantitative-analysis
量化研究-券商金工研报复现
rqalpha
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
torch-template-for-deep-learning
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
Ubiquant-Market-Prediction-Competition
Ubiquant Market Prediction Competition