An autonomous cryptocurrency trading system. The system will be composed of a primary model evaluated by a secondary machine learning model that is trained to use said exogenous primary model. The primary model will work with market data, while the secondary model will use a set of various features such as social network data and financial news.
Masters Final work at ETSIT UPM (https://www.etsit.upm.es)
Master of Science in Signal Theory and Communications (https://ssr.upm.es/MUTSC/)
LinkedIn profile (https://www.linkedin.com/in/javier-edgar-cruz-salaverri-6728b5144/)
Tick data used in this project can be accessed publicly at https://public.bitmex.com under "trade/" folder
Ideas and code snippets presented in ”Advances in Financial Machine Learning” by Marcos Lopez del Prado (https://www.oreilly.com/library/view/advances-in-financial/9781119482086/) are the backbone of the models to be described
To properly use loading data sections and to visualize groups of cells correctly execute this code in Google Colab Pro (100GB RAM machine)
For any question/suggestion pleas refer to (javier.cruz.salaverri@alumnos.upm.es) When that adress stops working try my personal (genovax3x@hotmail.es)