Vol. 12 No. 3 (2022): Vol 12, Iss 3, Year 2022
Articles

Historical analysis and forecasting of stock market using fbprophet

Suresh N
Assistant Professor (IT), Dept. of Information Technology, QIS College of Engineering & Technology, India
Priya B
Final Year (B. Tech), Dept. of Information Technology, QIS College of Engineering & Technology, India
Sai Teja M
Final Year (B. Tech), Dept. of Information Technology, QIS College of Engineering & Technology, India
Sai Krishna B
Final Year (B. Tech), Dept. of Information Technology, QIS College of Engineering & Technology, India
Lakshmi G
Final Year (B. Tech), Dept. of Information Technology, QIS College of Engineering & Technology, India

Published 2022-07-11

Keywords

  • Stock,Null value,Error rate

Abstract

Forecasting can be used in many fields such as crypto currency prediction, financial entities, supermarkets etc. We get the time series date which we use to feed the data into the algorithm is given by Y finance with this we get refreshed data every day. The stock market prediction or forecasting helps customers and brokers get a brief view of how the market behaves for the coming years. Many models are currently in use Like Regression techniques, Long Short-Term Memory algorithm etc. FB Prophet is proven to perform better than most other Algorithms with better accuracy. From the proposed research and references we have determined Facebook's Prophet algorithm as our forecasting algorithm because it is predicting at better accuracy, low error rate, handles messy data, doesn’t bother for null values and better fitting.

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