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All Journal Formosa Journal of Science and Technology (FJST)
Gultom, Edra Arkananta
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Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences

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Journal : Formosa Journal of Science and Technology (FJST)

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Design of a Stock Forecasting Dashboard using Python-Streamlit and FB Prophet with AI Gultom, Edra Arkananta; Susilowati, Kartika Dewi Sri; Kusmintarti, Anik
Formosa Journal of Science and Technology Vol. 3 No. 11 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i11.12216

Abstract

This research aims to develop a stock price forecasting application using time series analysis with the Prophet model. The application retrieves historical stock data from Yahoo Finance (2015–present) for Indonesian stocks, which is then processed and analyzed to predict future prices. The study integrates yfinance for data collection, Prophet for forecasting, and Plotly for visualizing the results. The application allows users to select stocks and customize prediction periods (1–4 years). The findings indicate that while the model provides useful short-term predictions, its accuracy is limited by market volatility and external factors. This tool can support decision-making but should be used in conjunction with other forecasting methods.
Co-Authors Kusmintarti, Anik Susilowati, Kartika Dewi Sri