Year: 2025
Type: article
Abstract: 1. Introduction Stock market prediction is the intricate endeavor of determining the future value of a company's stock or other financial instruments traded on an exchange, with successful forecasts yielding significant profit. This process holds paramount importance for a diverse array of stakeholders. Government officials, for instance, utilize economic forecasts to formulate fiscal and monetary policies, while business managers rely on them for strategic operational planning. For individual and institutional investors, accurate market prediction is crucial for informed strategic decision-making. The field of forecasting, however, is often described as a "flawed science" due to its inherent complexities, the multitude of influencing factors, and its susceptibility to subjective biases. Broadly, stock market forecasting employs three primary analytical approaches: fundamental analysis, technical analysis, and, increasingly, machine learning. This report will specifically delve into the effectiveness of technical analysis.
DOI: 10.55041/ijsrem50128
Author: Tarun baliyan
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4411276933