Financial stock market forecast using evaluated linear regression based machine learning technique
Study on stock market forecasting using Evaluated Linear Regression-based Machine Learning for S&P 500 index prediction.
What it examines
The study aims to forecast stock market values using the Evaluated Linear Regression based Machine Learning (ELR-ML) technique, focusing on the Standard and Poor's 500 index. It addresses the complexities of stock price prediction influenced by various socioeconomic and political factors.
What it concludes
The research suggests that the ELR-ML model can significantly aid in stock market forecasting, providing investors with accurate predictions for better decision-making. Future research could explore enhancing the model's accuracy and applying it to other financial indices.
Evidence objects
The research suggests that the ELR-ML model can significantly aid in stock market forecasting, providing investors with accurate predictions for better decision-making. Future research could explore enhancing the model's accuracy and applying it to other financial indices.
key_findings bullet 1 · key_findings · validation V0
Raw abstract and provenance
The objective of Stock Market Forecasting (SMF) is to forecast the future value of a company's financial stocks. The availability of Machine Learning (ML), particularly obtains forecasts regarding specific prices of current stock market indexes through training on actual high economic value, constitutes a significant improvement in stock market prediction automation. ML itself utilizes a wide range of models to improve as well as evaluate prediction. Regarding the nonlinearities as well as discontinuities of the factors that are anticipated to effect stock markets, the selection of a modest price of global financial data is frequently acknowledged as a significant basic phase in any stock market prediction model. The fundamental emphasis of the study is the application of Evaluated Linear Regression based Machine Learning (ELR-ML) technique to forecast stock financial values of the Standard and Poor's 500 (s & p 500) index with Open, close, low, high, and volume factors.
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