FinSight Bot: A Machine Learning-Driven Investment Advisor for the MAI TECH Sector

Stock investment often leads to uncertainty among investors due to market volatility and unpredictable factors. The lack of sufficient knowledge and analytical tools causes investors, especially novices, to rely on emotional decisions rather than systematic data-driven analysis. Thus, this research presents the development and evaluation of the Finsight Bot, an advanced investment recommendation for stock selections. The investigation of Thailand’s Market for Alternative Investment (MAI), particularly the TECH sector, is performed, and it consists of fundamental data (FD), Discounted Cash Flow (DCF), and technical analysis (TA). These components are applied to classify the recommendations between buying and avoiding. A procedure for recommendation classification was designed according to the changing data of FD, DCF, and TA. This dataset was applied to generate the proposed algorithm. This algorithm was used to classify the recommendation using a random forest model. The accuracy of this classification model between buying and avoiding recommendations was 100%. Thus, the proposed algorithm can assist novice investors and experienced investors.