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GRENZE International Journal of Engineering and Technology Vol. 11 (2025), Issue 1

Innovative Deep Learning Strategies for Stock Market Trend Analysis

Authors

Lukesh Kadu, Manoj Deshpande, Vijaykumar Pawar

Abstract

Anticipating stock advertises patterns precisely remain the noteworthy jump in domain of fund. Profound learning, a subset of machine learning, has developed as an effective instrument for capturing perplexing connections inside information. What sets profound learning separated is its capability to handle enormous sums of data, perceive complex highlights, and adjust to advancing designs, all whereas uncovering concealed bits of knowledge. At its pith, profound learning utilizes fake neural systems that mirror the learning and design acknowledgment capabilities of the human brain, making them exceedingly compelling for analyzing budgetary information. By leveraging progressed profound neural systems, the proposed strategy coordinating a different cluster of showcase information, including authentic stock costs, exchanging volumes, and estimations extricated from news sources.

Pages: 1762 - 1769