Xiaoyu68's Stars
jackfrued/Python-100-Days
Python - 100天从新手到大师
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
quantopian/zipline
Zipline, a Pythonic Algorithmic Trading Library
lining0806/PythonSpiderNotes
Python入门网络爬虫之精华版
tensorflow/docs
TensorFlow documentation
lballabio/QuantLib
The QuantLib C++ library
shidenggui/easyquotation
实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情
guanpengchn/awesome-books
:books: 开发者推荐阅读的书籍
huangmingchuan/Cpp_Primer_Answers
《C++ Primer》第五版中文版习题答案
Ehco1996/Python-crawler
从头开始 系统化的 学习如何写Python爬虫。 Python版本 3.6
QuantFans/quantdigger
基于python的量化交易平台
moyuanz/DevilYuan
DevilYuan可视化股票量化系统,支持选股,历史数据自动下载,策略回测及参数优化,实盘交易和常用的统计功能
benitoro/stockholm
一个股票数据(沪深)爬虫和选股策略测试框架
51bitquant/51bitquant
51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading
Finance-Hub/FinanceHub
Resources for Quantitative Finance
yanshengjia/artificial-intelligence
Awesome Artificial Intelligence Projects
ynouri/pysabr
SABR model Python implementation
rediar/InteractiveBrokers-Algo-Trading-API
Java/MySQL real-time algorithmic trading using Interactive Brokers API
daquexian/the-answer-of-Data-Structures-and-Algorithm-Analysis-in-C-in-chinese
《数据结构与算法分析:C语言描述》答案中文版
chiuchiuuu/programming-and-algorithm
这是北京大学在coursera上开设的「程序设计与算法」专项课程
doncat99/StockRecommendSystem
An intelligent recommender system for stock analyzing, predicting and trading
Barramodel/Barra-Model
An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
yeates/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。
ydxt25/QuantSystem
A C++ Quantitative Trading System
JiaRu2016/qsed
Event-Driven Backtester / Live Trader, inspired by QuantStart articles
zhengguowei/stock_prediction
基于LSTM的股票价格预测
ShenJimei/QTC2019
This program focused on the core concepts and practice of quantitative investment (multi-factor combination analysis, technical analysis CTA strategy, real-time stock selection and timing strategy, etc.).
maxfdama/kf
Implementation of "Time-varying vector autoregressive models with stochastic volatility" by Kostas Triantafyllopoulos available at arxiv link below
lermana/python_fundamentals
Materials for a series of Python seminars given at Fordham University.