iamjackzhang

Pinned Repositories

backtrader
Python Backtesting library for trading strategies
Language:Python0 2 00
Barra-Model
An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
Language:Python00
Barra_CNE5
Provide risk forecasts by Barra China Equity Model
Language:Python0 1 00
barra_model
This is an internship project aiming to make Attribution Analysis for general equity funds in China market
Language:Python00
BGI-data-analysis
assemblies, annotations, further analysis on sequenced strains from the EHEC outbreak
Language:PostScript00
bigquant
BigQuant学习。
Language:Python0 1 00
bigquant-module-advanced_auto_labeler
BigQuant模块：advanced_auto_labeler
Language:Python00
key-words-searching
list words that helps on financial forecast
1 2 00
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Language:Python1 2 00
StockTimingStrategy
量化投资中各类指标的择时策略的实现，基于JoinQuant回测平台。
Language:Jupyter Notebook10

iamjackzhang's Repositories

iamjackzhang/deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Language:Cuda
iamjackzhang/StockTimingStrategy
量化投资中各类指标的择时策略的实现，基于JoinQuant回测平台。
Language:Jupyter Notebook1
iamjackzhang/rq-data
获取股票期货等数据
Language:Python
iamjackzhang/Ricequant
My notes of Ricequant
Language:Jupyter Notebook
iamjackzhang/CTPTrader
back testing and trading system by python and c++
Language:Python
iamjackzhang/Barra-Model
An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
Language:Python
iamjackzhang/rqalpha-data
A utility for RQAlpha to directly use data（不需要在回测里而是直接调用 RQAlpha 的数据）
Language:Python
iamjackzhang/bigquant-module-advanced_auto_labeler
BigQuant模块：advanced_auto_labeler
Language:Python
iamjackzhang/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.
Language:Python
iamjackzhang/EMM-for-stock-prediction
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.
Language:Python
iamjackzhang/pyalgotrade-cn
pyalgotrade tailored for Chinese stock market
Language:Python
iamjackzhang/two_sigma_financial_modeling
Kaggle Competition
Language:Python
iamjackzhang/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
Language:Jupyter Notebook
iamjackzhang/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
Language:Python
iamjackzhang/StockAssistant
The utility python scripts provide to anaylze the historical data and make the trade decision in China Stock Market.
Language:Python
iamjackzhang/QuantBridge
服务端，开放HTTP接口，转发下单／卖出信号到客户端，可用于JoinQuant等平台做本地实盘交易
Language:Java
iamjackzhang/Quantitative-Fund-Selection-Framework
Quantitative Fund Selection in R
Language:R
iamjackzhang/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'
iamjackzhang/keras
Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
Language:Python
iamjackzhang/chinese-stock-api
Python API to get stock data in Chinese market
Language:Python
iamjackzhang/JJJackzhang
chinese financial analyst/quant in shanghai
iamjackzhang/trading
Utility framework for back-testing technical trading strategies in Python.
Language:Python
iamjackzhang/BGI-data-analysis
assemblies, annotations, further analysis on sequenced strains from the EHEC outbreak
Language:PostScript