baoshuang's repositories
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
behaviourTag
Behaviour Tag Engine in KDB+/Q
btick
Another kdb+ tick system based on behaviour-tag-pattern
chinese-calendar
判断一天是不是法定节假日/法定工作日（查看节假日安排）
concurrentqueue
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
cryptofeed
Cryptocurrency Exchange Feed Handler with synthetic NBBO
ehlers_technical_indicators
Some of Ehlers work translated in python for usage with Pandas, specifically aimed at freqtrade.
EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
EqutiesDataAnalysis
Analyse the data of equities
ft
基于共享内存队列的低时延算法交易系统，支持CTP、XTP、模拟交易及行情网关、回测
IntelliJLicence
Intellij idea licence for non-commercial use
k-Utilities
It consists of utilities which are most commonly used
kdb
Companion files to kdb+ and q
kdb-taq
Latest source files for the kdb+taq package
ktick
Setup for kdb tick architecture
mootdx
通达信数据读取接口
open-trade-gateway
Diff协议中继网关, 支持 CTP / FEMAS / UFX 等交易系统
Perbo-PerformanceBot
Performance bot written in k/q which can be connected to Timeseries DB to fetch historical and realtime analytics.
ProgrammingFonts
This is a collection of programming fonts,just share this with the programmers.Now there are 98 kinds of fantastic fonts!
pyGregorian2LunarCalendar
简介：无需数据库，以《钦定协纪辨方书》为核心的python3 农历、黄历、二十四节气、节假日、星次、每日凶煞、每日值神、建除十二神、每日宜忌、彭祖百忌、每日五行、二十八星宿、天干地支、生辰八字、时辰凶吉等开源项目。背景： 由于三体运动（主要地球、太阳、月球）无法准确预测，目前二十四节气依然还是靠天文台观测，Yovey使用传说中[Y*D+C]-L 寿星通用公式 方法实际有很多天数不准，def getSolarTerms(_date)12个if嵌套判断让代码变得十分冗余，由简书网友“大咖_247c”首先发现计算不准问题……
qPython
interprocess communication between Python and kdb+
qutils
Consists of commonly used utilities in q lang kdb
Stock-Prediction-Using-Stacked-LSTM
Stock values is very valuable but extremely hard to predict correctly for any human being on their own. This project seeks to solve the problem of Stock Prices Prediction by utilizes Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict future stock values.
streamvbyte
Fast integer compression in C using the StreamVByte codec
TorQ
kdb+ production framework. Read the doc: http://aquaqanalytics.github.io/TorQ/. Join the group!
trend-indicators
Whitepaper Dev
vispy
Main repository for Vispy
vispy_candlestick
Candlestick for vispy
vnpy_ctp
VeighNa框架的CTP交易接口
XAPI2
统一行情交易接口第2版