GitHub / paocarvajal1912 / VIXM-Algorithmic-Strategy
An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/paocarvajal1912%2FVIXM-Algorithmic-Strategy
PURL: pkg:github/paocarvajal1912/VIXM-Algorithmic-Strategy
Stars: 3
Forks: 2
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 20.7 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago
Topics: adaboost, adaboost-algorithm, adaboostclassifier, algoritmic-trading, jupyter-notebooks, jupyterlab, machine-learning, modular-design, python, supervised-machine-learning, vix, volatility-investing