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Price Prediction with CNN and Limit Order Book Data.

, , , , and . WEA (1), volume 915 of Communications in Computer and Information Science, page 124-135. Springer, (2018)

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Use of Learning Strategies of SWEBOK© Guide Proposed Knowledge Areas., , and . KMO, volume 172 of Advances in Intelligent Systems and Computing, page 243-254. Springer, (2012)Deep Learning and Wavelets for High-Frequency Price Forecasting., , , , and . ICCS (2), volume 10861 of Lecture Notes in Computer Science, page 385-399. Springer, (2018)High-Frequency Trading Strategy Based on Deep Neural Networks., , , and . ICIC (3), volume 9773 of Lecture Notes in Computer Science, page 424-436. Springer, (2016)Computational Visual Analysis of the Order Book Dynamics for Creating High-frequency Foreign Exchange Trading Strategies., and . ICCS, volume 51 of Procedia Computer Science, page 1593-1602. Elsevier, (2015)Price Prediction with CNN and Limit Order Book Data., , , , and . WEA (1), volume 915 of Communications in Computer and Information Science, page 124-135. Springer, (2018)Detecting Informative Patterns in Financial Market Trends based on Visual Analysis., , , and . ICCS, volume 80 of Procedia Computer Science, page 752-761. Elsevier, (2016)Learning of Natural Trading Strategies on Foreign Exchange High-Frequency Market Data Using Dynamic Bayesian Networks., and . MLDM, volume 8556 of Lecture Notes in Computer Science, page 408-421. Springer, (2014)Algorithmic Trading Using Deep Neural Networks on High Frequency Data., , , , , and . WEA, volume 742 of Communications in Computer and Information Science, page 144-155. Springer, (2017)Clustering algorithms for Risk-Adjusted Portfolio Construction., , , , , and . ICCS, volume 108 of Procedia Computer Science, page 1334-1343. Elsevier, (2017)Akasha: Custom Application to Support Elementary Geometry Learning First-Grade Children in Colombia., , , , , , , , , and 1 other author(s). Technol. Knowl. Learn., 26 (4): 733-762 (2021)