CREATION OF A NEURAL NETWORK ALGORITHM FOR AUTOMATED COLLECTION AND ANALYSIS OF STATISTICS OF EXCHANGE QUOTES GRAPHICS-Reference-Cited by-同舟云学术

CREATION OF A NEURAL NETWORK ALGORITHM FOR AUTOMATED COLLECTION AND ANALYSIS OF STATISTICS OF EXCHANGE QUOTES GRAPHICS

Published:2020-05-11 Issue: Volume:3 Page:22-29
ISSN:2461-4262
Container-title:EUREKA: Physics and Engineering
language:en
Short-container-title:

Author:

Skuratov Victor,Kuzmin Konstantin,Nelin Igor,Sedankin Mikhail

Publisher

OU Scientific Route

Subject

General Physics and Astronomy,General Engineering

Reference20 articles.

1. Skuratov V, Kuzmin K, Nelin I, Sedankin M (2019) Application of a convolutional neural network to create a detector of technical analysis figures on exchange quotes charts. EUREKA: Physics and Engineering 6: 50-56. doi: https://doi.org/10.21303/2461-4262.2019.001055

2. Dash R, Dash PK (2016) A hybrid stock trading framework integrating technical analysis with machine learning techniques. The Journal of Finance and Data Science 2 (1): 42-57. doi: https://doi.org/10.1016/j.jfds.2016.03.002

3. Chiang W-C, Enke D, Wu T, Wang R (2016) An adaptive stock index trading decision support system. Expert Systems with Applications 59: 195-207. doi: https://doi.org/10.1016/j.eswa.2016.04.025

4. Priya SR, Arabinda S (2019) Statistical Analysis of Stock Prices of Selected Companies in Construction Industry. Advances in Management 12 (1): 39-47.

5. De Souza MJS, Ramos DGF, Pena MG, Sobreiro VA, Kimura H (2018) Examination of the profitability of technical analysis based on moving average strategies in BRICS. Financial Innovation 4 (1). doi: https://doi.org/10.1186/s40854-018-0087-z

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