virtualpeer Goto Github PK

.idea

ga_featureSelection 发动机锻造件一些常用用法

active-portfolio-management

factor return calculation, mean-variance / Black&Litterman portfolio optimization, risk decomposition

adv-financial-ml-marcos-exercises

Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado

adv_fin_ml

Advances in Financial Machine Learning by Marcos Lopez De Prado

adv_fin_ml-1

AFML Solutions for selected exercises from 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]

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

advanced_algorithm_trading_lecturenotes

Lecturenotes for the Book Advanced Algorithm Trading

advances-in-financial-machine-learning

Notes on Advances in Financial Machine Learning

advances_in_fin_ml

adventures-in-financial-data-science

Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, such as that on Medium. Those for the book are mostly originally written for the RATS time-series analysis system, which is commercial software, so I have begun porting the code to Python Notebooks written for Google's colab https://colab.research.google.com. This is mostly what I will post here. The figures for the book will be generated by notebooks titled "Section n.n.n Section Title" etc.

afml

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

ai-strategies-stockmarket

App to test strategies based on artificial intelligence for investing in the stock market.

ai-trade

aialpha

Use unsupervised and supervised learning to predict stocks

aimbot-v2

ROBLOX Script - Universal Aimbot Script Remake

aioquant

Asynchronous event I/O driven quantitative trading framework.

aioquant_sample_code

aioquant_src

copy_to_huangtao

algo_trading

algorithmic-trading-with-machine-learning

Manning Live Project - Algorithmic Trading with Machine Learning

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

alpha101

101 alpha factors calculate based on Alpha101

alpha_avellaneda_stoikov

mlfinlab test demo

alphalen_sample

basic usage of Alphalen

alphanetv3

Recurrent Neural Network for predicting Stock Returns

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

alphas

alpha101, alpha191, alphalens, backtrader, 量化研究

alphatrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

amazingquant

AmazingQuant——为交易而生的智能投研Lab。包含策略组合研究服务、量化数据服务、指标计算服务、绩效分析服务四大功能模块。