zhongwenhu,github

ai-for-trading

Repository of all completed projects during the "AI for Trading" Nanodegree

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algo_stanford

Implementations: Coursera Stanford Algorithms Specialization

algorithms-design-and-analysis-part-1

all programming assignments and quiz of course offered by Stanford University in Coursera

algorithms-illuminated

My notes for Tim Roughgarden's awesome course on Algorithms and his 4 part books

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

deerresume

MarkDown在线简历工具，可在线预览、编辑和生成PDF。功能更全的Online服务请点这里 http://deercv.com

dlquant

Applying Deep Learning and NLP in Quantitative Trading

epi

Solutions for Elements of Programming Interviews problems written in Golang (work-in-progress)

This repo implements a Fama-MacBeth 2-stage regression to estimate factor risk premia, make inference on the risk premia, and test whether a linear factor model can explain a cross-section of portfolio returns.

featuredriven-hawkes

Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction

inverse_volatility_caculation

This is to help people get forward signal of their inverse volatility allocation strategy. https://www.portfoliovisualizer.com/ used to provide this for free, but now it requires a subscription.

leetcode

LeetCode Problems' Solutions

leetcode-1

Python & JAVA Solutions for Leetcode

machine-learning-asset-management

Machine Learning in Asset Management (by @firmai)

machinelearning_smartbeta_pipeline

ML pipeline for SmartBeta momentum factor on equity portfolio

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

machinelearninginaction3x

Source Code for Machine Learning in Action for Python 3.X

machinelearningstocks

Using python and scikit-learn to make stock predictions

misc

学习与工作中收集的一些资料

mit-6.006-introduction-to-algorithms

https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

momentum-trading-example

An example algorithm for a momentum-based day trading strategy.

multi-factor-gm-wind-joinquant

基于掘金+万得+聚宽的多因子策略开发框架

option_on_target_volatility_funds

Master Thesis code: "Options on Target Volatility Funds"

options-trading-strategies-in-python

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

oreilly_getting_started_with_sql

Database files for the O'Reilly book "Getting Started with SQL: A hands on approach for beginners" http://goo.gl/z3zG54

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

quant-finance-resources

Courses, Articles and many more which can help beginners or professionals.

quant-trading

Python quantitative trading strategies including Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

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