Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI DOI
Sai Shyam Desetti, Indranil Ghosh

Communications in computer and information science, Journal Year: 2023, Volume and Issue: unknown, P. 213 - 227

Published: Nov. 29, 2023

Language: Английский

Revolutionizing Stock Price Prediction with Automated Facebook Prophet Analysis DOI

Errabelli Annapoorna,

Sreya. V.Sujil,

S Sreepriya

et al.

2022 International Conference on Inventive Computation Technologies (ICICT), Journal Year: 2024, Volume and Issue: unknown

Published: April 24, 2024

Making predictions, about stock prices has always been a challenge in research even though the Efficient Market Hypothesis suggests otherwise. While it's widely believed that impossible to predict with precision there have studies literature showing accurate predictions can be made by using predictor models and relevant variables. The complexity of predicting market volatility adds another layer difficulty as are influenced factors such conditions, psychological factors, logical considerations. In this study, Facebook Prophet model is utilized forecast analyzing data from Yahoo Finance. experimental results indicate effectively used overtime periods. work's emphasis on provides not only forecasts but also seamless visualization, allowing users gain confidence analyzing, visualizing, forecasting prices. This comprehensive effort knowledge navigate difficulties price analysis, employing automation quickly acquire solid visual insights, regardless selected stock.

Language: Английский

Citations

0

Time Series Cross-Sequence Prediction DOI Open Access

Kiril Koparanov,

Елена Ивановна Антонова,

Daniela Minkovska

et al.

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS, Journal Year: 2024, Volume and Issue: 21, P. 1611 - 1618

Published: July 19, 2024

In the modern transport industry, vast and diverse information arrays, particularly those including time series data, are rapidly expanding. This growth presents an opportunity to improve quality of forecasting. Researchers practitioners continuously developing innovative tools predict their future values. The goal research is performance automated forecasting environments in a systematic structured way. paper investigates effect substituting initial with another similar nature, during training phase model’s development. A financial data set Prophet model employed for this objective. It observed that impact on accuracy predicted values promising, albeit not significant. Based obtained results, valuable conclusions drawn, recommendations further improvements provided. By highlighting importance incorporation, assists making informed choices leveraging full potential available more precise outcomes.

Language: Английский

Citations

0

Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI DOI
Sai Shyam Desetti, Indranil Ghosh

Communications in computer and information science, Journal Year: 2023, Volume and Issue: unknown, P. 213 - 227

Published: Nov. 29, 2023

Language: Английский

Citations

0