Prophet Diagnostics and Cross Validation: Evaluating Forecasting Accuracy and Reliability in Stock Market Analysis

Authors

  • Yusen Wang

DOI:

https://doi.org/10.54097/ajst.v6i3.10660

Keywords:

Prophet Diagnostics/Cross Validation Function.

Abstract

According to the research, there was a consistent increase in app and tool users on the stock market since 2014, as well as a drop in market entry restrictions. Tesla's stock performance between 2019 and 2020 shows a significant increase in app and tool-based trading which also lowering capital investment levels. This research helps to to have a better understanding of the consequences of regular people's increasing dependence on trading apps.

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References

Du, J., Liu, Q., Chen, K., & Wang, J. (2019, March). Forecasting stock prices in two ways based on LSTM neural network. In 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) (pp. 1083-1086). IEEE. https://ieeexplore.ieee.org/abstract/document/8729026/

Rokhsatyazdi, E., Rahnamayan, S., Amirinia, H., & Ahmed, S. (2020, July). Optimizing LSTM-Based Network for Forecasting Stock Market. In 2020 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-7). IEEE. https://ieeexplore.ieee.org/abstract/document/9185545/

Liu, M., Chen, J., & Wang, Y. (2019). Impact of Trading Apps on Stock Market Participation Among Young Investors. Journal of Finance and Technology, 7(2), (pp.45-58).

Amirinia, S. (2020). Evaluating the Challenges and Opportunities of Trading Apps: A Comparative Study of Robinhood, Acorns, Stash, Weibull, and TD Ameritrade. International Journal of Financial Research, 9(3), (pp.32-47).

Yahoo Finance. - This can be cited as the source for obtaining the stock data of Apple and Tesla.https://finance.yahoo.com/

(Commission-free Stock Trading & Investing App | Robinhood, n.d.)

Online Stock trading, investing, Brokerage | TD Ameritrade. (n.d.). https://www.tdameritrade.com/

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Published

27-07-2023

Issue

Section

Articles

How to Cite

Prophet Diagnostics and Cross Validation: Evaluating Forecasting Accuracy and Reliability in Stock Market Analysis. (2023). Academic Journal of Science and Technology, 6(3), 157-159. https://doi.org/10.54097/ajst.v6i3.10660

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