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Sonic is a Go library for network and I/O programming that provides developers with a consistent asynchronous model, with a focus on achieving the lowest possible latency and jitter in Go.
A well tested and comprehensive Golang statistics library package with no dependencies.
Data structure and algorithm library for go, designed to provide functions similar to C++ STL
You like pytorch? You like micrograd? You love tinygrad! ❤️
algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Python implementation of the Johansen test for cointegration
Quantitative research and educational materials
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
better than 1 min chart
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
A curated list of practical financial machine learning tools and applications.
Python training for business analysts and traders
A book series (2 published editions) on the JS language.
Pretrained models for TensorFlow.js