Comparing the ARIMA and LSTM Models on the Stock Price of FinTech Companies

FinTech companies have emerged as a new force in the financial industry recent years. Their innovative business models, high growth performance, and broad market prospects attracted attention pursuit of numerous investors. Therefore, predicting future trend company stocks is significant for This paper selects PayPal prediction target, collects closing prices from 2018 to 2023, uses Auto-regressive Integrated Moving Average Model (ARIMA) Long Short-Term Memory (LSTM) compare accuracy results select optimal model. Empirical show that both ARIMA LSTM models specific effects stock industry, with model having higher than However, it should be noted price not entirely accurate but based on historical data trends. when making investment decisions, necessary consider various factors comprehensively make scientific decisions achieve better returns.