zhshw's repositories
akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
awesome-deep-trading
List of awesome resources for machine learning-based algorithmic trading
duckdb
DuckDB is an in-process SQL OLAP Database Management System
CTPTrader
quantitative trading by CTP
ebpf-tproxy-splicer
This is a project to develop an ebpf program that uses ebpf tc to redirect ingress ipv4 udp/tcp flows toward specific dynamically created sockets and acts as a stateful firewall.
flowlat
flowlat is an eBPF-based tool for monitoring TCP SYN/SYN-ACK latency.
gocryptotrader
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
indicator
Indicator is a Golang module providing various stock technical analysis indicators for trading.
io_uring-echo-server
io_uring echo server
jeepay
Jeepay
matplotplusplus
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
NumCpp
C++ implementation of the Python Numpy library
openctp
CTP开放平台提供A股、港股、美股、期货、期权等全品种接入通道，通过提供中泰证券XTP、华鑫证券奇点、东方证券OST、东方财富证券EMT、盈透证券TWS等各通道的CTPAPI接口，CTP程序可以无缝对接各股票柜台。平台也提供了一套基于TTS交易系统的模拟环境，同样提供了CTPAPI兼容接口，可以替代Simnow，为CTP量化交易开发者提供7x24可用的模拟环境。
pixie
Instant Kubernetes-Native Application Observability
Predict-Stock-Price-With-Linear-Regression
Detailed Explanation of Stock Price Prediction using Linear Regression
PRUDEX-Compass
Official implementation of PRUDEX-Compass
pyfolio
Portfolio and risk analytics in Python
PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Qbot
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
QuantLib
The QuantLib C++ library
Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
scylladb
NoSQL data store using the seastar framework, compatible with Apache Cassandra
seastar
High performance server-side application framework
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
teamgram-server
Unofficial open source mtproto server written in golang with compatible telegram client.
TickTrader
A fashionable securities trading client.
TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
wondertrader
WonderTrader——量化研发交易一站式框架