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Quantitative Research and Development Initiatives in Financial Markets

manuelmusngi's Projects

aat icon aat

Asynchronous, event-driven algorithmic trading in Python and C++

auquan icon auquan

Ipython Notebooks for trading strategies and time series analysis.

auto_ts icon auto_ts

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

awesome-cpp icon awesome-cpp

C++ frameworks, libraries, and resources for reference

backtesting.py icon backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

backtrader icon backtrader

Python Backtesting library for trading strategies

build-your-own-x icon build-your-own-x

Master programming by recreating your favorite technologies from scratch.

c-plus-plus icon c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++.

cpptrader icon cpptrader

High performance components for building Trading Platform such as ultra fast matching engine, order book processor

cudf icon cudf

cuDF - GPU DataFrame Library

dawp icon dawp

Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

elitequant icon elitequant

A list of online resources for quantitative modeling, trading, portfolio management

example-algos icon example-algos

Examples of an additional modules for Quantower trading platform

fin-ml icon fin-ml

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

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