adamlansky Goto Github PK
Name: Adam Lansky
Type: User
Bio: Unicorn rider
Name: Adam Lansky
Type: User
Bio: Unicorn rider
Config files for my GitHub profile.
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding
Backtest result archive for Momentum Trading Strategies
This repo contains some codes and outputs of my implementation of DeepLOB model.
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
issa useless copy pasta, use them at ur own risk
AS MM Inspired Models
Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C
A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.
Collection of tidbits for HFT server config.
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.
MM Models
This repository serves to share the replicated results listed in the paper by Sasha Stoikov - The Micro-Price. As opposed to data used in the paper for US equities BAC and CVX, I am using the data for the Crypto pair ETHBTC. The data was pulled by me from Binance by subscribing to three different streams - Market Trades, Partial Depth and Orderbook Snapshot. Then these were combined to form the order-book and analysis done on the same.
MM | Stat Arb strategy
Matching Engine for Limit Order Book
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries
Collection of documents related tunings for performance of Java low-latency trading systems: from hardware up to application level
Python implementation of fast limit-order book.
High performance trading Matching Engine / Market Simulator using Level 3 Market Data for realistic simulation of High Frequency Trading Strategies
Implement exchange matching engine by lua script, run in redis
A PostgreSQL foreign data wrapper for Redis
Backtesting engine written in Rust
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
An implementation of soft-DTW divergences.
Ultra Low Latency Trading Framework (Fix Engine, OMS, FastFix, ETI, Algo Container)
Database for L2 orderbook
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.