dhKwang

dhKwang's Stars

• AppFlowy-IO/AppFlowy

  Bring projects, wikis, and teams together with AI. AppFlowy is an AI collaborative workspace where you achieve more without losing control of your data. The best open source alternative to Notion.

  Language:Dart56.4k3.7k

• wondertrader/wondertrader

  WonderTrader——量化研发交易一站式框架

  Language:C++4k770

• fasiondog/hikyuu

  Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架

  Language:C++2.2k571

• day0market/support_resistance

  Small package that helps to find support and resistance levels and plot them on chart

  Language:Python404125

• highfestiva/finplot

  Performant and effortless finance plotting for Python

  Language:Python919187

• facebookresearch/generative-recommenders

  Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

  Language:Python668111

• neurotrader888/TechnicalAnalysisAutomation

  Language:Python298153

• pyecharts/pyecharts

  🎨 Python Echarts Plotting Library

  Language:Python14.8k2.8k

• qiaoHaoT/data-spider

  Language:Python22

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  199k26k

• rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy

  Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

  Language:Jupyter Notebook1.9k661

• UFund-Me/Qbot

  [🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

  Language:Jupyter Notebook7.1k956

• ranaroussi/quantstats

  Portfolio analytics for quants, written in Python

  Language:Python4.8k841

• wilsonfreitas/awesome-quant

  A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

  Language:Python17.7k2.6k

• slangmgh/stocktest

  Language:Python11466

• CaoZ/Fast-LianJia-Crawler

  直接通过链家 API 抓取数据的极速爬虫，宇宙最快~~ 🚀

  Language:Python28599

• Aegis1863/Quant_Trade_Frame

  量化交易，股票回测交易框架，仿真交易

  Language:Python3816

• Vespa314/chan.py

  开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视化绘图，多种数据接入，策略开发，交易系统对接；

  Language:Python791287

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.1k4.1k

• tkfy920/qstock

  qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型等； 回测模块为大家提供向量化（基于pandas）和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号，获取更多应用信息。

  Language:Python888235

• wenbochang888/house

  有完整版的PDF下载。

  Language:Java3.2k403

• microsoft/qlib

  Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

  Language:Python15.3k2.6k

• mementum/backtrader

  Python Backtesting library for trading strategies

  Language:Python14.1k3.9k

• km1994/RES-Interview-Notes

  该仓库主要记录 推荐系统 算法工程师相关的面试题

  50687

• EZLippi/Tinyhttpd

  Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

  Language:C11.3k3.9k

• JakubVojvoda/design-patterns-cpp

  C++ Design Patterns

  Language:C++4.1k938

• Light-City/CPlusPlusThings

  C++那些事

  Language:C++39k8.5k

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++30.7k3.6k

• TheAlgorithms/C-Plus-Plus

  Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

  Language:C++30.2k7.1k

• wangzhegeek/EGES

  Language:Python388144