kiki's repositories
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
machine-learning-notes
This is the notes of the way of machine learning study. You may find something useful in it.
derivative_quant_research
option future model
TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
xiaoqiyu
Config files for my GitHub profile.
angel
A Flexible and Powerful Parameter Server for large-scale machine learning
binance-connector-python
a simple connector to Binance Public API
qtrader
A Light Event-Driven Algorithmic Trading Engine
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
strategies
quantitative trading with Javascript, Python, C++, Blockly, MyLanguage(麦语言)
pysystemtrade
Systematic Trading in python
DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
hf_micro_research
This project is to explore high-frequency model and strategy. You will expect high-frequency features mining, ml/dl models, and hf trading strategies.
transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
vnpy
基于Python的开源量化交易平台开发框架
algo_trading_and_quant_strategies
Supplemental Material for Algorithmic Trading and Quantitative Strategies
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
lihang-code
《统计学习方法》的代码实现
deep-stock
Deep Learning for Stock Market
M4-methods
Data, Benchmarks, and methods submitted to the M4 forecasting competition
MonteCarlo
A model free Monte Carlo approach to price and hedge American options equiped with Heston model, OHMC, and LSM
ctpwrapper
上海期货交易所CTP接口 Shanghai Future CTP Interface CTP 6.3.11 Python API Wrapper