TY - GEN
T1 - Evaluating the Effectiveness of Model of Three-Level Moving Average Strategy
AU - Mutyala, Jayasuryan
AU - Narendra, V. G.
AU - Shivaprasad, G.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Creation of a logical model that analyzes stock prices, trading volumes, and technical indicators to provide automated buy or sell recommendations in a high-frequency trading environment is explored in this work. By leveraging machine learning techniques, this model aims to enhance profitability while eliminating the impact of psychological biases associated with manual trading execution.
AB - Creation of a logical model that analyzes stock prices, trading volumes, and technical indicators to provide automated buy or sell recommendations in a high-frequency trading environment is explored in this work. By leveraging machine learning techniques, this model aims to enhance profitability while eliminating the impact of psychological biases associated with manual trading execution.
UR - https://www.scopus.com/pages/publications/105007999023
UR - https://www.scopus.com/pages/publications/105007999023#tab=citedBy
U2 - 10.1007/978-981-96-1744-9_9
DO - 10.1007/978-981-96-1744-9_9
M3 - Conference contribution
AN - SCOPUS:105007999023
SN - 9789819617432
T3 - Lecture Notes in Networks and Systems
SP - 89
EP - 104
BT - Information Systems for Intelligent Systems - Proceedings of ISBM 2024
A2 - Iglesias, Andres
A2 - Shin, Jungpil
A2 - Patel, Bharat
A2 - Joshi, Amit
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd World Conference on Information Systems for Business Management, ISBM 2024
Y2 - 12 September 2024 through 13 September 2024
ER -