SMAP - A Stock Market Analysis and Prediction Web Application

نویسندگان

چکیده

The Stock Market is one of the most rapidly emerging markets in country as participation retail investors has increased significantly this pandemic.Since there are no specific rules to compute or predict price a stock, it becomes very difficult for first-time invest share market. Methodologies such technical analysis, fundamental time series and statistical etc. all used estimate stocks but since being volatile nature, none these methods proved consistent tool upcoming trends. Machine learning statistics can be reduce risk factor loosing money. Apart from predicting future trends based on historical data company, web app also show’s various decision making factors indicators providing multiple options users consideration while call. With help relation between selected formulated computing better results. Using facebook Prophet without any hyperparameter’s forecast particular made. These result’s evaluated by comparing with other models like Last value prophet hyperparameter tuning.

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ژورنال

عنوان ژورنال: ITM web of conferences

سال: 2022

ISSN: ['2271-2097', '2431-7578']

DOI: https://doi.org/10.1051/itmconf/20224403038