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Sigit Birowo
Institut Bisnis Dan Informatika Kwik Kian Gie
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Environmental Science Health Professions Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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AI-Enhanced Screening: Analisis Swing Trade Pada Saham Indeks KOMPAS100 Menggunakan Perplexity Finance Budi Wasito; Sigit Birowo; Brastoro Brastoro
Jurnal Abdimas: Sosial, Bisnis, dan Lingkungan Vol. 3 No. 2 (2026): April - September 2026
Publisher : Institut Bisnis dan Informatika Kwik Kian Gie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46806/abdimas.v3i1.2124

Abstract

The development of artificial intelligence (AI) technology over the past decade has transformed various sectors, including the financial world and capital markets. AI is now capable of processing massive amounts of data at high speed, providing more accurate analysis and identifying patterns that are difficult for human observers to detect. This transformation has given rise to a new approach to investment analysis—where speed, accuracy, and computational intelligence play a crucial role in decision-making. In the context of stock analysis, AI offers far more efficient screening and evaluation methods. In fundamental analysis, AI can process financial reports, key ratios, news sentiment, and even industry trends in real time. Meanwhile, in technical analysis, AI can read price patterns, detect momentum, analyze volatility, and present objective trading signals. The combination of the two creates a more comprehensive, data-driven trading approach with minimal subjective bias. This use of AI is particularly relevant in Indonesia, where indices like the KOMPAS100 reflect a collection of leading stocks that have the potential to provide attractive investment and trading opportunities. However, many traders and investors still conduct analysis manually, often falling prey to bias, misreading momentum, or failing to understand the inherent risks. Therefore, literacy is needed on how AI—through platforms like Perplexity Finance—can be used to improve the quality of both fundamental and technical analysis with greater systematicity and accuracy.
Co-Authors Aditya Aditya Akhmad Budi Anthony, Farrel Brastoro Budi Wasito Budi Wasito Chrislie, Enrico Elis Sondang Dasawaty Hanes Riyadi Hatigoran, Geraldo Hendratmoko Humdiana Roelly Juanda Gilang Purnomo Lemuel, Jason Levina Liaw Bun Fa Michelle Muhammad Akbar Maulana Raynor Raynor Samuel Septiano Setiawan, Willy Tristanto, Andy Vita, Elisabeth Wasito, Budi Wijaya, Stanley Wonges, Reynaldo Paulini Yosef Dema Yudianto