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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.

pairs-trading-a-kalman-filtering-approach

Project completed during my studies at BGSE together with Travis Dunlop, Matthew Keys and Jordi Llorens

pairstrade-fyp-2019

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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.

stacked-autoencoder-pytorch

Stacked denoising convolutional autoencoder written in Pytorch for some experiments.

wq-brain

Simple API automation for submitting WorldQuant BRAIN alphas