jaungiers
HFT Quant // AI & ML Dev
Funding Links: https://github.com/sponsors/jaungiers
- Name: Jakob Aungiers
- Location: Global
- Kind: user
- Followers: 664
- Following: 8
- Total stars: 5398
- Repositories count: 16
- Created at: 2022-11-10T19:28:03.524Z
- Updated at: 2025-03-09T20:34:13.911Z
- Last synced at: 2025-03-09T20:34:13.911Z
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.
- Current Sponsors: 0
- Past Sponsors: 0
- Total Sponsors: 0
- Minimum Sponsorship: $9.00
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: 4942jaungiers/Random-Portfolio-vs-Benchmark-Strategy
Python Monte Carlo Simulation to model returns from randomly generated portfolios against a benchmark index.
Language: Python - Stars: 23jaungiers/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: 19jaungiers/TensorFlow-Intro
Introduction to TensorFlow. Basic operators, linear and logistic regression and Tensorboard
Language: Python - Stars: 22jaungiers/R-Datastream
Simple framework library for communicating between Thompson Reuters Datastream service API and R
Language: R - Stars: 3jaungiers/Code-Line-Counter
Python script for iterating directory and outputting total line counts for all file types
Language: Python - Stars: 4