research-article

Proposal and Implementation of New Trading Strategies for Stock Markets using Web Data

Authors:

Eduardo Jabbur Machado,

Adriano C M Pereira,

Douglas Castilho,

Humberto BrandãoAuthors Info & Claims

WebMedia '15: Proceedings of the 21st Brazilian Symposium on Multimedia and the Web

Pages 113 - 120

https://doi.org/10.1145/2820426.2820444

Published: 27 October 2015 Publication History

Abstract

The use of social networks and the Web is growing every day, generating a lot of data that can aggregate value to different applications. In financial market, there is a need to better understand the situations that occur in the capital market, through negotiation strategies and technical indicators that can assist in analysis and investment decisions. This work presents a study of the time series data of historical quotations on assets of BM&FBOVESPA and Web data about investments (e.g., social networks, forums, blogs, and news), with the objective of seeking subsidies that can assist in a better understanding of financial market behavior. Based on the theory of Elliott Wave, we propose several trading strategies, evaluating them in a realistic simulator of the financial market. The results show how the use of distinct indicators, such as the ones that are based on Web data, can help minimizing losses and maximizing the triggers that generate profit.

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Cited By

Jiang Z(2023)A Novel Method of Data Element Trading and Asset Value AppreciationHighlights in Business, Economics and Management10.54097/hbem.v16i.1066716(576-583)Online publication date: 2-Aug-2023
https://doi.org/10.54097/hbem.v16i.10667
Caputo Rdos Santos Eda Rocha L(2023) Convolutional neural networks applied to data organized as OLAP cubes Expert Systems10.1111/exsy.1345440:10Online publication date: 19-Sep-2023
https://doi.org/10.1111/exsy.13454
de Araújo JMarinho LNeto MNovais RFerraz CViana W(2018)Using Online Economic News to Predict Trends in Brazilian Stock Market SectorsProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243087(37-44)Online publication date: 16-Oct-2018
https://dl.acm.org/doi/10.1145/3243082.3243087
Show More Cited By

Index Terms

Proposal and Implementation of New Trading Strategies for Stock Markets using Web Data
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation support systems
2. Information systems
  1. Information systems applications

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Published In

cover image ACM Other conferences

WebMedia '15: Proceedings of the 21st Brazilian Symposium on Multimedia and the Web

October 2015

266 pages

ISBN:9781450339599

DOI:10.1145/2820426

General Chairs:
Marco Antônio Pinheiro de Cristo
UFAM, Brazil
,
David Fernandes de Oliveira
UFAM, Brazil
,
Program Chairs:
Adriano C. Machado Pereira
UFMG, Brazil
,
Fabricio Benevenuto
UFMG, Brazil
,
Marcelo Moreno
UFJF, Brazil
,
Valter Roesler
UFRGS, Brazil

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

CYTED: Ciência Y Tecnologia Para El Desarrollo
SBC: Brazilian Computer Society
FAPEAM: Fundacao de Amparo a Pesquisa do Estado do Amazonas
CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
CGIBR: Comite Gestor da Internet no Brazil
CAPES: Brazilian Higher Education Funding Council

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2015

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Webmedia '15

Sponsor:

CYTED
SBC
FAPEAM
CNPq
CGIBR
CAPES

Webmedia '15: 21st Brazilian Symposium on Multimedia and the Web

October 27 - 30, 2015

Manaus, Brazil

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WebMedia '15 Paper Acceptance Rate 21 of 61 submissions, 34%;

Overall Acceptance Rate 270 of 873 submissions, 31%

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Cited By

Jiang Z(2023)A Novel Method of Data Element Trading and Asset Value AppreciationHighlights in Business, Economics and Management10.54097/hbem.v16i.1066716(576-583)Online publication date: 2-Aug-2023
https://doi.org/10.54097/hbem.v16i.10667
Caputo Rdos Santos Eda Rocha L(2023) Convolutional neural networks applied to data organized as OLAP cubes Expert Systems10.1111/exsy.1345440:10Online publication date: 19-Sep-2023
https://doi.org/10.1111/exsy.13454
de Araújo JMarinho LNeto MNovais RFerraz CViana W(2018)Using Online Economic News to Predict Trends in Brazilian Stock Market SectorsProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243087(37-44)Online publication date: 16-Oct-2018
https://dl.acm.org/doi/10.1145/3243082.3243087
Caputo RBatista dos Santos ERocha L(undefined)Convolutional Neural Networks Applied to Data Organized as Olap CubesSSRN Electronic Journal10.2139/ssrn.4127229
https://doi.org/10.2139/ssrn.4127229

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