| High-frequency trading strategy based on deep neural networks A Arévalo, J Niño, G Hernández, J Sandoval International conference on intelligent computing, 424-436, 2016 | 125 | 2016 |
| Clustering algorithms for risk-adjusted portfolio construction D León, A Aragón, J Sandoval, G Hernández, A Arévalo, J Niño Procedia Computer Science 108, 1334-1343, 2017 | 86 | 2017 |
| Do asymmetric GARCH models fit better exchange rate volatilities on emerging markets? J Sandoval Odeon, 2006 | 29 | 2006 |
| Transitory cognitive impairment in epileptic children during a CPT task AA Gonzalez-Garrido, JLO de Alba, FR Gomez-Velazquez, TF Harmony, ... Clinical Electroencephalography 31 (4), 175-180, 2000 | 25 | 2000 |
| Computational visual analysis of the order book dynamics for creating high-frequency foreign exchange trading strategies J Sandoval, G Hernández Procedia Computer Science 51, 1593-1602, 2015 | 18 | 2015 |
| Deep learning and wavelets for high-frequency price forecasting A Arévalo, J Nino, D León, G Hernandez, J Sandoval Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 12 | 2018 |
| Learning of natural trading strategies on foreign exchange high-frequency market data using dynamic bayesian networks J Sandoval, G Hernández Machine Learning and Data Mining in Pattern Recognition: 10th International …, 2014 | 9 | 2014 |
| Detecting informative patterns in financial market trends based on visual analysis J Sandoval, J Nino, G Hernandez, A Cruz Procedia Computer Science 80, 752-761, 2016 | 7 | 2016 |
| Algorithmic trading using deep neural networks on high frequency data A Arévalo, J Niño, G Hernandez, J Sandoval, D León, A Aragón Applied Computer Sciences in Engineering: 4th Workshop on Engineering …, 2017 | 6 | 2017 |
| Cnn with limit order book data for stock price prediction J Niño, G Hernández, A Arévalo, D León, J Sandoval Proceedings of the Future Technologies Conference (FTC) 2018: Volume 1, 444-457, 2019 | 5 | 2019 |
| A new logistic-type model for pricing European options JA Londoño, J Sandoval SpringerPlus 4 (1), 762, 2015 | 5 | 2015 |
| Price prediction with CNN and limit order book data J Niño, A Arévalo, D Leon, G Hernandez, J Sandoval Applied Computer Sciences in Engineering: 5th Workshop on Engineering …, 2018 | 3 | 2018 |
| High-frequency trading strategies using wavelet-transformed order book information and dynamic Bayesian networks J Sandoval, G Hernandez 2015 Science and Information Conference (SAI), 435-442, 2015 | 2 | 2015 |
| CNN with Limit Order Book Data for Stock Price Prediction J Sandoval Proceedings of the Future Technologies Conference (FTC) 1, 444, 2018 | 1 | 2018 |
| Computational Intelligence Applied to Financial Price Prediction: A State of the Art Review J Sandoval ODEON, 2011 | 1 | 2011 |
| An Algorithmic Trading Strategy for the Colombian US Dollar Inter-bank Bulk Market SET-FX Based on an Evolutionary TPOT AutoML Predictive Model A Cruz, G Hernández, J Sandoval, D León Workshop on Engineering Applications, 12-24, 2023 | | 2023 |
| Algorithmic Trading System Using Auto-machine Learning as a Filter Rule E López, G Hernández, J Sandoval, D León Workshop on Engineering Applications, 3-11, 2023 | | 2023 |
| Criptomonedas a la luz de la regulación actual en Colombia. Un análisis comparativo regional. J Sandoval, G Ramírez ODEON-Observatorio de Economía y Operaciones Numéricas, 2022 | | 2022 |
| Análisis De Transparencia Prenegociación En Los Calces OTC De Los Contratos De Futuros Sobre Trm, Del Mercado De Derivados Colombiano (Transparency Analysis of Pre-Negotiation … J Sandoval ODEON, 2016 | | 2016 |
| Designing, Implementing and Testing an Automated Trading Strategy Based on Dynamic Bayesian Networks, the Limit Order Book Information, and the Random Entry Protocol J Sandoval, G Hernández Emerging Trends and Advanced Technologies for Computational Intelligence …, 2016 | | 2016 |
