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amouhsine's Projects

clusterr icon clusterr

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

crosssection icon crosssection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

dbda2 icon dbda2

R code from Doing Bayesian Data Analysis, 2nd edition, by John Kruschke, in one convenient package.

elitequant_python icon elitequant_python

Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.

gamma-ray icon gamma-ray

High frequency trading bot for crypto currencies

gekko-strategies icon gekko-strategies

Strategies to Gekko trading bot with backtests results and some useful tools.

ggfortify icon ggfortify

Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.

lob_algotrading icon lob_algotrading

Some codes used for the numerical examples proposed in https://hal.archives-ouvertes.fr/hal-01514987v2 and https://arxiv.org/abs/1705.01446

order-book-heatmap icon order-book-heatmap

OrderBook Heatmap visualizes the limit order book, compares resting limit orders and shows a time & sales log with live market data streamed directly from the Binance WS API. This was a short exploratory project. Keep in mind that a lot of work is needed for this to work in all market conditions.

pairstrading icon pairstrading

Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Lisboa).

qlib icon qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

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