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Repository for code used in my blog posts
Quantitative Trading
Artigo sobre Bubble e criptomoedas
An Algorithmic Trading Library for Crypto-Assets in Python
Replication code for Chen and Velikov (2021), Zeroing in on the expected returns of anomalies.
This repository stores several Jupyter Notebooks that were developed while studying for the Certificate in Quantitative Finance.
C# .NET Core tool that evaluates various stock market holding strategies based on historical data of a single stock exported from Yahoo finance.
A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.
This quant framework applies algorithm trading in Crypto market. The trading pairs focus on spots, perpetuals, futures, and options in Deribit and BitMex.
This work proposal is based on extracting meaningful patterns and attributes from historical cryptocurrency data to predict future prices using machine learning for time series (AUTO TS). However, it's important to emphasize that buying and selling trends depend on many factors and the model obtained is only capable of working with historical data.
Simple command-line utility to convert CSV files to searchable and sortable HTML table.
Backtest result archive for Momentum Trading Strategies
A Python library for generating discounted cashflows.
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.
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.
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 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.