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Deep learning modelling of orderbooks
Source code for the blog post on the evolution of the asset allocation methods
Replication code for Detzel, Novy-Marx, and Velikov (2022), Model Comparison with Transaction Costs.
Attribution and optimisation using a multi-factor equity risk model.
Implementation for "Statistical arbitrage in the US equities market" by Marco Avellaneda and Jeong-hyun Lee
A modular dynamical-systems model of Ethereum's validator economics.
Event Study package is an open-source python project created to facilitate the computation of financial event study analysis.
FactorLab is a python library that enables the discovery and analysis of alpha and risk factors used in the investment algorithm development process
Comparative factor analysis of growth and value funds using Fama-French 3 factor models. This analysis compares two mutual funds which are categorized as growth (T. Rowe Price Institutional Large Cap Core Growth Fund) and value (Vanguard High Dividend Yield Index Fund).
Blazing fast Julia backtester.
ffn - a financial function library for Python
Research in investment finance with Python Notebooks
Development space for PhD in Finance
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Collection of notebooks about quantitative finance, with interactive python code.
A simple repo for a financial risk management application
A Python Implementation of Measures for Order Flow Risk, e.g. VPIN
Repo for my work with machine learning in Indian Stock Market. (Help from mlfinlab repo and Advances in Financial MAchine learning book)
FX system trade simulation programs using maching learning methods
High frequency trading bot for crypto currencies
high-frequency grid trading strategy backtesting for binance futures
Detection of Geometric Fibonacci Harmonic Patterns
A library written in Python to search harmonic patterns automatically.
Implementation of HFT backtesting simulator and Stoikov strategy
A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.
A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
HFTrader is fully automated high frequency trading system
This project is to explore high-frequency model and strategy. You will expect high-frequency features mining, ml/dl models, and hf trading strategies.
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.