Stock price forecasting is the introduction of future stock prices based on the knowledge of past and present stock price data, which determines that the subject of stock forecasting research is not a specific event, but a random and uncertain event which requires consistent scientific forecasting methods to make a reasonable prognosis of investment. The purpose of this paper is to discuss the analytical indicators of stock forecasting and the application of innovative predictive models in stock market forecasting. Stock market forecasting is done by analyzing various factors such as past stock prices, financial data, market sentiment, and by using advanced techniques such as artificial intelligence, time series, and ensemble learning.

Xinmiao Cheng. Exploration of Stock Predictive Analysis Indicators and Innovative Forecasting Models. Academic Journal of Business & Management (2024) Vol. 6, Issue 1: 103-107. https://doi.org/10.25236/AJBM.2024.060114.

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