Pinned Repositories
3-min-pytorch
<펭귄브로의 3분 딥러닝, 파이토치맛> 예제 코드
adv-financial-ml-marcos-exercises
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
algobot
Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.
algorithm-interview
<파이썬 알고리즘 인터뷰> 95가지 알고리즘 문제 풀이로 완성하는 코딩 테스트
Alpha101-WorldQuant
python implement for WorldQuant-Alpha101
binance-trader-c1
effective_pandas_book
Errata and code for Effective Pandas book
Hands-On-Data-Analysis-with-Pandas-2nd-edition
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
HMM_Trading
Modeling the S&P500 index as a hidden markov model for regime identification and creating a trading algorithm to capitalize on hidden state patterns.
kimyc3825's Repositories
kimyc3825/3-min-pytorch
<펭귄브로의 3분 딥러닝, 파이토치맛> 예제 코드
kimyc3825/adv-financial-ml-marcos-exercises
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
kimyc3825/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
kimyc3825/algobot
Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.
kimyc3825/algorithm-interview
<파이썬 알고리즘 인터뷰> 95가지 알고리즘 문제 풀이로 완성하는 코딩 테스트
kimyc3825/Alpha101-WorldQuant
python implement for WorldQuant-Alpha101
kimyc3825/binance-trader-c1
kimyc3825/effective_pandas_book
Errata and code for Effective Pandas book
kimyc3825/Hands-On-Data-Analysis-with-Pandas-2nd-edition
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
kimyc3825/HMM_Trading
Modeling the S&P500 index as a hidden markov model for regime identification and creating a trading algorithm to capitalize on hidden state patterns.
kimyc3825/Pairs-Trading-A-Kalman-Filtering-Approach
Project completed during my studies at BGSE together with Travis Dunlop, Matthew Keys and Jordi Llorens
kimyc3825/pairstrade-fyp-2019
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
kimyc3825/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
kimyc3825/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.
kimyc3825/stacked-autoencoder-pytorch
Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
kimyc3825/WQ-Brain
Simple API automation for submitting WorldQuant BRAIN alphas