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Name: OEA
Type: User
Company: @Meridian
Bio: Fintech
Location: New York
Name: OEA
Type: User
Company: @Meridian
Bio: Fintech
Location: New York
# 2022 COMAP Problem C chosen (Bitcoin and Gold Quant Trading
对A股市场2016年1月-2021.7月的4000只A股股票进行数据预处理和简单的多元线性回归尝试,建立初步的建模思路,最后通过JQ的线性回归回测工具确定因子和因子权重进行股票回测确定20只股票,此策略收益略低于沪深三百组合收益
factor return calculation, mean-variance / Black&Litterman portfolio optimization, risk decomposition
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Our project extends the classical models such as Vasicek and CIR to incorporate the effects of jump-risks in the market. We explore modern methods to price and calibrate such models and evaluate their pricing performance with respect to classical models and the observed market prices.
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
Affine term structure modeling Python package. See LICENSE for terms of use.
This is the repository for Jakob Meldgaard and Alexandros Bøgeskov-Tsoronis master's thesis
AI based alpha research for trading
📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
Artificial Intelligence for Trading
Tinkering with Projects every now and then and uploading a few.
股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易
Design pattern for critical stages in the development process of an AI Stock Trading Bot
Algo trading project about future contracts of five metals and back test
A collection of code snippets that can be constructed into larger trading algorithms.
A library for black-scholes euro options pricing, algorithmic delta hedging, and visualization
Algorithm competition and practice codes.
Trading algorithmic strategies and tools
Quantitative finance research tools in Python
Adjusting an implementaion of AlphaZero to trading.
Training for Kx Analyst
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
搬砖套利程序链接大全
Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
High performance datastore for time series and tick data
Event-driven financial calculations with Thomson Reuters Eikon for Excel and Visual Basic for Applications
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.