EFEKTIVITAS PENGGUNAAN SCREENER STOCKBIT DAN KONFIRMASI ENTRY CHATGPT UNTUK MENINGKATKAN KEPUTUSAN INVESTASI SAHAM HIGH DIVIDEND PADA INDEKS HIDIV DI BEI

Abstract

Determining the optimal entry time in High Dividend Yield (HiDIV) stock investment is a challenge for investors, especially due to the risk of dividend trap decline in stock price after cum date which is greater than the value of dividend. This study evaluates the effectiveness of using Stockbit stock screener and entry confirmation with ChatGPT to improve investment decisions on HiDIV stocks on the Indonesia Stock Exchange. The method used is a quantitative experiment with a simulation approach. Four HiDIV stocks (ANTM, ADRO, PTBA, and ITMG) were analyzed in the period of February 3-14, 2025, with entries based on Stockbit screener results, bandarmology analysis, and ChatGPT confirmation. The results show that the significant decline in JCI (7,073.46 to 6,531.99) had an impact on the correction of the monitored stock prices, making the entry strategy less optimal. However, ANTM performed better than other stocks. The findings indicate that the combination of screener and AI helps with stock selection, but investment decisions should still consider market trends and macroeconomic factors. As a recommendation, investors are advised to practice with Stockbit's Virtual Trading feature before investing and combine technical, fundamental and AI analysis to improve the effectiveness of investment decisions.