Prophet-Powered Web Application for LQ45 Stock Price Forecasting: A Study on Usability and Market Empowerment in Emerging Economies
DOI: 10.35760/ugefic.v8i1.167Abstract
This research uses Facebook's Prophet algorithm to create a web-based stock price prediction system for the Indonesia Stock Exchange's (IDX) LQ45 index. From an economic standpoint, this study explores how easily available predictive analytics might impact market dynamics in emerging economies and empower individual investors. The program, which was created with Streamlit and Python, analyzes historical data going back to 2018. The system exhibits strong predicting capabilities and great user acceptance, even though specific average Mean Absolute Percentage Error (MAPE) values need to be further characterized. The application's exceptional usability and potential for broad adoption are highlighted by the User Acceptance Test (UAT) results, which show an impressive 94.7% favorable response from 25 respondents. According to this research, democratizing advanced forecasting techniques might boost investor confidence, drastically lessen information asymmetry, and even cast doubt on the weak-form Efficient Market Hypothesis (EMH) in behaviorally biased markets. This study provides useful information for policymakers seeking to promote equitable capital market development and better economic decision-making by integrating technical innovation with financial economics.
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