- -

Algorithmic Trading Systems Based on Google Trends

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Algorithmic Trading Systems Based on Google Trends

Show full item record

Gómez Martínez, R.; Prado Román, C.; De La Orden De La Cruz, MDC. (2018). Algorithmic Trading Systems Based on Google Trends. En 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València. 11-18. https://doi.org/10.4995/CARMA2018.2018.8295

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/111930

Files in this item

Item Metadata

Title: Algorithmic Trading Systems Based on Google Trends
Author: Gómez Martínez, Raúl Prado Román, Camilo De la Orden de la Cruz, María del Carmen
Issued date:
Abstract:
[EN] In this paper we analyze five big data algorithmic trading systems based on artificial intelligence models that uses as predictors stats from Google Trends of dozens of financial terms. The systems were trained using ...[+]
Subjects: Web data , Internet data , Big data , QCA , PLS , SEM , Conference , Behavioral finance , Investors' mood , Artificial Intelligence , Bayesian network , Google trends
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490486894
Source:
2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018).
DOI: 10.4995/CARMA2018.2018.8295
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2018/paper/view/8295
Conference name: CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics
Conference place: Valencia, Spain
Conference date: Julio 12-13,2018
Type: Capítulo de libro Comunicación en congreso

recommendations

 

This item appears in the following Collection(s)

Show full item record