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jaungiers

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HFT Quant // AI & ML Dev

Funding Links: https://github.com/sponsors/jaungiers

GitHub Sponsors Profile

My open source work builds on creating frameworks, tutorials and knowledge in the area of applied machine learning in investment finance. My past backgrounds in buy-side asset management followed by high-frequency trading funds has allowed me to contribute to some of the world-leading research in the field, and through this research I am able to offer up my knowledge in the field.

Featured Works

jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Language: Python - Stars: 4942
jaungiers/Random-Portfolio-vs-Benchmark-Strategy

Python Monte Carlo Simulation to model returns from randomly generated portfolios against a benchmark index.

Language: Python - Stars: 23
jaungiers/Yahoo-Finance-Stocklist-Scraper

Converts the full Yahoo Finance stocks list into a .csv file with ticker symbol, company name, exchange and country mapped.

Language: Python - Stars: 19
jaungiers/TensorFlow-Intro

Introduction to TensorFlow. Basic operators, linear and logistic regression and Tensorboard

Language: Python - Stars: 22
jaungiers/R-Datastream

Simple framework library for communicating between Thompson Reuters Datastream service API and R

Language: R - Stars: 3
jaungiers/Code-Line-Counter

Python script for iterating directory and outputting total line counts for all file types

Language: Python - Stars: 4