iamjackzhang,github

backtrader

Python Backtesting library for trading strategies

barra-model

An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.

barra_cne5

Provide risk forecasts by Barra China Equity Model

barra_model

This is an internship project aiming to make Attribution Analysis for general equity funds in China market

bgi-data-analysis

assemblies, annotations, further analysis on sequenced strains from the EHEC outbreak

bigquant-module-advanced_auto_labeler

BigQuant模块：advanced_auto_labeler

chinese-stock-api

Python API to get stock data in Chinese market

ctptrader

back testing and trading system by python and c++

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

deep_stock

This project aims to build effective stock selection models based on machine learning tools such as Keras, Tensorflow, XGBoost, etc., for Chinese stock market participants.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

easytrader

提供银河/国金/华泰客户端/同花顺客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易和实盘雪球组合, 量化交易组件

We propose a model to analyze sentiment of online stock forum and use the information to predict stock volatility in the Chinese market. By generating a sentimental dictionary, we analyze the sentimental tendencies of each post as sentiment indicators. Such sentimental information will be fused with market data for prediction based on Recurrent Neural Networks (RNNs). We manually labeled the sentiment of forum post and make the data public available for research. Empirical evidence shows that 8 of the 10 stocks perform better with sentimental indicators.

financial-nlp

Constructing Financial Sentimental Factors in Chinese Market Using Techniques of Natural Language Processing

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

freqtrade

Free, open source crypto trading bot

jjjackzhang

chinese financial analyst/quant in shanghai

jqdatasdk

简单易用的量化金融数据包(easy utility for getting financial market data of China)

kaggle_challenge_live-two-sigma

This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube

keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

key-words-searching

list words that helps on financial forecast

market-neutral-model

A Market Neutral Equity Model based on Barra's model

multi-factor-models

Here I try to generate and identify all possible factors that are working in Chinese and American Equity Market. After this step, I will built a Market Neutral using these factors. Codes are in Python and should run on 'Ricequant.com'

newswimmer

python new swimmer

personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pyalgotrade-cn

pyalgotrade tailored for Chinese stock market

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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