Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos

Trabajo de Grado

Autores:
Blanco-Salazar, Fabio Andrés
Padilla-Perea, Cristian Yesid
Tipo de recurso:
Article of investigation
Fecha de publicación:
2022
Institución:
Universidad Católica de Colombia
Repositorio:
RIUCaC - Repositorio U. Católica
Idioma:
spa
OAI Identifier:
oai:repository.ucatolica.edu.co:10983/27085
Acceso en línea:
https://hdl.handle.net/10983/27085
Palabra clave:
MERCADOS BURSÁTILES
BLOCKCHAIN
CRIPTOMONEDAS
MODELO PREDICTIVO
BITCOIN
REDES NEURONALES
Rights
openAccess
License
Copyright-Universidad Católica de Colombia, 2021
id UCATOLICA2_5f804cec6d0fbf7323f91876a325b900
oai_identifier_str oai:repository.ucatolica.edu.co:10983/27085
network_acronym_str UCATOLICA2
network_name_str RIUCaC - Repositorio U. Católica
repository_id_str
dc.title.spa.fl_str_mv Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos
title Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos
spellingShingle Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos
MERCADOS BURSÁTILES
BLOCKCHAIN
CRIPTOMONEDAS
MODELO PREDICTIVO
BITCOIN
REDES NEURONALES
title_short Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos
title_full Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos
title_fullStr Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos
title_full_unstemmed Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos
title_sort Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos
dc.creator.fl_str_mv Blanco-Salazar, Fabio Andrés
Padilla-Perea, Cristian Yesid
dc.contributor.advisor.none.fl_str_mv Zárate-Ceballos, Henry
dc.contributor.author.none.fl_str_mv Blanco-Salazar, Fabio Andrés
Padilla-Perea, Cristian Yesid
dc.subject.lemb.none.fl_str_mv MERCADOS BURSÁTILES
topic MERCADOS BURSÁTILES
BLOCKCHAIN
CRIPTOMONEDAS
MODELO PREDICTIVO
BITCOIN
REDES NEURONALES
dc.subject.proposal.spa.fl_str_mv BLOCKCHAIN
CRIPTOMONEDAS
MODELO PREDICTIVO
BITCOIN
REDES NEURONALES
description Trabajo de Grado
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-02-15T19:06:44Z
dc.date.available.none.fl_str_mv 2022
2022-02-15T19:06:44Z
dc.date.issued.none.fl_str_mv 2022
dc.type.spa.fl_str_mv Trabajo de grado - Pregrado
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_fa2ee174bc00049f
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dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/bachelorThesis
format http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.citation.none.fl_str_mv Blanco-Salazar, F. A. & Padilla-Perea, C. Y. (2021). Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Programa de Ingeniería de Sistemas. Bogotá, Colombia
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10983/27085
identifier_str_mv Blanco-Salazar, F. A. & Padilla-Perea, C. Y. (2021). Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Programa de Ingeniería de Sistemas. Bogotá, Colombia
url https://hdl.handle.net/10983/27085
dc.language.iso.spa.fl_str_mv spa
language spa
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spelling Zárate-Ceballos, Henry3a698e6a-3dc9-45b0-b87e-42bcdd76c76c-1Blanco-Salazar, Fabio Andrés07829e20-db59-4a8b-9d0c-3f0c9fa73229-1Padilla-Perea, Cristian Yesid9c3e8b49-2656-4610-9ef2-708b262c681f-12022-02-15T19:06:44Z20222022-02-15T19:06:44Z2022Trabajo de GradoEl propósito de esta investigación es construir un prototipo capaz de analizar el comportamiento de las criptomonedas y así aumentar la probabilidad de incrementar la confianza acerca de este instrumento en la comunidad validando la confianza por medio de algoritmos de confianza computacional.PregradoIngeniero de SistemasINTRODUCCIÓN 2. JUSTIFICACIÓN 3. PLANTEAMIENTO DEL PROBLEMA 4. OBJETIVOS 5. MARCOS DE REFERENCIA 6. METODOLOGÍA 7. CRONOGRAMA PRESUPUESTO 9. DESARROLLO DEL PROTOTIPO 10.CONCLUSIONES 11.RECOMENDACIONES Y TRABAJO FUTURO 12.BIBLIOGRAFÍA 13.ANEXOS88 páginasapplication/pdfBlanco-Salazar, F. A. & Padilla-Perea, C. Y. (2021). Prototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivos. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Programa de Ingeniería de Sistemas. Bogotá, Colombiahttps://hdl.handle.net/10983/27085spaUniversidad Católica de ColombiaFacultad de IngenieríaBogotáIngeniería de Sistemas y ComputaciónS. Nakamoto, “Bitcoin: A Peer-to-Peer Electronic Cash System,” Artif. Life, p. 9, 2008.S. Cavalli and M. Amoretti, “CNN-based multivariate data analysis for bitcoin trend prediction,” Appl. Soft Comput., vol. 101, p. 107065, 2021, doi: 10.1016/j.asoc.2020.107065.M. McCoy and S. Rahimi, “Prediction of Highly Volatile Cryptocurrency Prices Using Social Media,” Int. J. Comput. Intell. Appl., vol. 19, no. 4, 2020, doi:10.1142/S146902682050025X.E. 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Boston, MA: Springer US, 2011, pp. 1328–1331.“What is Trusted Computing?” https://cs.stanford.edu/people/eroberts/cs201/projects/trusted-computing/what.html (accessed May 14, 2021).P. Sarang, Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects. Apress, Berkeley, CA, 2021.V. Davidiseminger,alexbuckgit,mihart,maggiesMSFT,DCtheGeek, “What is Power BI Desktop,” 2021. https://docs.microsoft.com/en-us/power-bi/fundamentals/desktopwhat-is-desktop (accessed Nov. 07, 2021).K. Alcázar, “Power BI Report Server vs Power BI Service,” 2020. .S. Lahmiri and S. Bekiros, “Deep Learning Forecasting in Cryptocurrency High-Frequency Trading,” Cognit. Comput., no. February, pp. 485–487, 2021, doi: 10.1007/s12559-021- 09841-w.I. E. Livieris, N. Kiriakidou, S. Stavroyiannis, and P. Pintelas, “An advanced CNN-LSTM model for cryptocurrency forecasting,” Electron., vol. 10, no. 3, pp. 1–16, 2021, doi: 10.3390/electronics10030287R. Sujatha, V. Mareeswari, J. M. Chatterjee, A. A. A. Mousa, and A. E. Hassanien, “A Bayesian Regularized Neural Network for Analyzing Bitcoin Trends,” IEEE Access, pp. 37989–38000, 2021, doi: 10.1109/ACCESS.2021.3063243.T. I. Adegboruwa, S. A. Adeshina, and M. M. Boukar, “Time series analysis and prediction of bitcoin using long short term memory neural network,” 2019 15th Int. Conf. Electron. Comput. Comput. ICECCO 2019, no. Icecco, pp. 1–5, 2019, doi: 10.1109/ICECCO48375.2019.9043229.R. Sovia, M. Yanto, A. Budiman, L. Mayola, and D. Saputra, “Backpropagation neural network prediction for cryptocurrency bitcoin prices,” in Journal of Physics: Conference Series, 2019, vol. 1339, no. 1, doi: 10.1088/1742-6596/1339/1/012060.H. Sebastião and P. Godinho, “Forecasting and trading cryptocurrencies with machine learning under changing market conditions,” Financ. Innov., vol. 7, no. 1, 2021, doi: 10.1186/s40854-020-00217-x.E. Akyildirim, A. Goncu, and A. 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David, “Redes neuronales convolucionales (CNN) vs. redes neuronales recurrentes (RNN),” 2021. https://kwfoundation.org/blog/2021/07/13/redes-neuronalesconvolucionales-cnn-vs-redes-neuronales-recurrentes-rnn/#htoc-cnn-vs-rnn-fortalezasy-debilidades (accessed Sep. 09, 2021)A. L. Lima, “Bitcoin Price Prediction Using Recurrent Neural Networks and LSTM,” 2021. https://www.analyticsvidhya.com/blog/2021/05/bitcoin-price-prediction-usingrecurrent-neural-networks-and-lstm/ (accessed Oct. 23, 2021).Copyright-Universidad Católica de Colombia, 2021info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2MERCADOS BURSÁTILESBLOCKCHAINCRIPTOMONEDASMODELO PREDICTIVOBITCOINREDES NEURONALESPrototipo de software para el análisis de criptomonedas y su confiabilidad en los mercados bursátiles mediante modelos predictivosTrabajo de grado - Pregradohttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/resource_type/c_7a1fTextinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/version/c_fa2ee174bc00049fhttp://purl.org/coar/version/c_71e4c1898caa6e32PublicationORIGINALTrabajo de Grado.pdfTrabajo de Grado.pdfapplication/pdf3215612https://repository.ucatolica.edu.co/bitstreams/bf83c1c6-45ba-430a-9af7-cc2cb144de80/download017b251330955ef45c2df035518fb1fcMD51F-010-GB-008_RESUMEN_ANALITICO_EN_EDUCACION_RAE_VS_01.pdfF-010-GB-008_RESUMEN_ANALITICO_EN_EDUCACION_RAE_VS_01.pdfapplication/pdf334738https://repository.ucatolica.edu.co/bitstreams/4af98b53-e18c-478b-9764-740a95ce20f0/download424d0f1e3de4c1853635d6a7c110a94eMD52TEXTTrabajo de Grado.pdf.txtTrabajo de Grado.pdf.txtExtracted texttext/plain133041https://repository.ucatolica.edu.co/bitstreams/b79ba80b-e9a9-4644-ba4c-36dddeb76aea/downloadefd3fe6411e32f5c1368d6bc460a33eeMD53F-010-GB-008_RESUMEN_ANALITICO_EN_EDUCACION_RAE_VS_01.pdf.txtF-010-GB-008_RESUMEN_ANALITICO_EN_EDUCACION_RAE_VS_01.pdf.txtExtracted texttext/plain30691https://repository.ucatolica.edu.co/bitstreams/61ecb690-f346-45d6-ae66-2fbc221e1e5f/download46e55d8d1256b4d6dcfa2bcd0c3bff9bMD55THUMBNAILTrabajo de Grado.pdf.jpgTrabajo de Grado.pdf.jpgRIUCACimage/jpeg11269https://repository.ucatolica.edu.co/bitstreams/7a7b99da-80fe-4cf4-a1e8-604231f038b6/downloadfe6d5b64412b871f5fe251c5f5ec5b12MD54F-010-GB-008_RESUMEN_ANALITICO_EN_EDUCACION_RAE_VS_01.pdf.jpgF-010-GB-008_RESUMEN_ANALITICO_EN_EDUCACION_RAE_VS_01.pdf.jpgRIUCACimage/jpeg18560https://repository.ucatolica.edu.co/bitstreams/1789bd9c-4873-4e44-bfc5-0055cd2a0c86/downloadd53adf7ae1fbe0de684d9f444d16e367MD5610983/27085oai:repository.ucatolica.edu.co:10983/270852023-03-24 14:42:40.895https://creativecommons.org/licenses/by-nc-nd/4.0/Copyright-Universidad Católica de Colombia, 2021https://repository.ucatolica.edu.coRepositorio Institucional Universidad Católica de Colombia - RIUCaCbdigital@metabiblioteca.com

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