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Mostly experiments based on "Advances in financial machine learning" book
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)
Sharing quantitative analyses on Crypto Lake data
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A high-performance WebSocket integration library for streaming public market data. Used as a key dependency of the `barter-rs` project.
place scaled orders on binance
Bitcoin arbitrage - opportunity detector
Cryptocurrency exchange market data feed handler (Poloniex, Bittrex, Bitstamp, BTCC, Bitfinex, BitMEX, Gatecoin, GDAX, Huobi, Kraken, OkCoin, Quoine)
lendingbot for bitfinex
Machine learning for high frequency bitcoin price prediction
Material for paper "Fast Packet Processing with eBPF and XDP: Concepts, Code, Challenges and Applications", ACM CSUR 2019
A CEX-DEX arbitrage research template
My personal collection of various trading strategy research notebooks for stock market and cryptocurrencies
experiments with crypto trading
Optimization of Crypto Portfolio using Python
High performance market data handlers for cryptocurrency exchanges
A cryptocurrency arbitrage opportunity calculator. Over 800 currencies and 50 markets.
Quantitative research for algorithmic Cryptocurrency trading strategies
A machine learning program in python to generate cryptocurrency trading strategies using machine and deep learning on price, hash rate and scraped forum sentiment data (using natural language processing). Sklearn and Tensorflow.
Cryptocurrency Exchange Feed Handler with synthetic NBBO
Python package for generating Directional Changes - a technical analysis indicator - from time series.
Algorithmic trading with deep learning experiments
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
Reproduce DeFi hacked incidents using Foundry.
deribit v2 ws api wrapper
Grafana Loki sample with Docker and fluent-bit
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.