Pinned Repositories
10-X_Reports_to_Google_Drive
R code to copy select 10-X report files to your main Google Drive folder for text / sentiment analysis. CC-BY-4.0 License
abu
阿布股票量化系统
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
AI-Crash-Course
AI-Crash-Course, published by Packt
ai-projects
Artificial Intelligence projects, documentation and code.
aiif
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
alpha-RNN
alpha-RNN
Fast-C-plus-plus
Python is too short, you need C++.:snail:
fastipca
Instrumented Principal Components Analysis
stock-data
Analyze stock data by python science tools and machine learning.
caozq19's Repositories
caozq19/aiif
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
caozq19/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
caozq19/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
caozq19/DataScience_ArtificialIntelligence_Utils
Examples of Data Science projects and Artificial Intelligence use cases
caozq19/DingDongHelper
叮咚买菜抢菜插件
caozq19/Finance-1
Study resources for quantitative finance
caozq19/ftwp
Jupyter Notebooks and code for the book Financial Theory with Python (O'Reilly) by Yves Hilpisch.
caozq19/Fundamentals-of-Deep-Learning-Book
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
caozq19/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
caozq19/hephaistos
hephAIstos is a machine learning framework running on CPU, GPU and QPU
caozq19/HIST
The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
caozq19/ipca
Instrumented Principal Components Analysis
caozq19/julia-vscode
Julia extension for Visual Studio Code
caozq19/kaggle-jane-street
Machine learning models to predict realtime financial market data provided by Jane Street
caozq19/lectures-1
Lecture notes for EC 607
caozq19/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
caozq19/machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
caozq19/mastering-python-for-finance-second-edition
Sources codes for: Mastering Python for Finance, Second Edition
caozq19/portfolio_stock_sentiment_treemap
caozq19/py4at
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
caozq19/py4fi2nd
Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
caozq19/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
caozq19/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.
caozq19/QuantumComputing_Utils
Examples of Quantum Computing use cases
caozq19/rlfinance
The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance
caozq19/sentiment_analysis_albert
sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification
caozq19/Stock_prediction_with_News_Sentiment_Analysis
Predicting the price movement of stocks using past prices and sentiment analysis scores from financial News.
caozq19/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
caozq19/tsa-notebooks
Jupyter notebooks on time series econometrics topics.
caozq19/zipline-reloaded
Zipline, a Pythonic Algorithmic Trading Library