ABSTRACT
Since the Covid-19 pandemic, we have seen a surge of retail investors that now can easily trade anywhere in the world with just a Smartphone. Social media groups like Reddit’s WallStreetBets have almost put a few hedge funds close to bankruptcy by driving GameStop share prices to the sky. In this work, we propose a framework called GRAPES which uses Cloud Computing and Machine Learning to explore various forecasting techniques in predicting GameStop prices. In addition to this, this work also provides light insight into semi-automating forecasting models using tools such as Google Cloud Platform (GCP), Airflow and Streamlit. Moreover, we monitored the investment funds from Ark Invest to provide additional insight into the market in general. Overall, the paper shows the Autoregressive Moving Average (ARMA) model gives the best accuracy based on the Mean Absolute Percentage Error (MAPE) of 1.12%. This means the predictive model is out with an average of 1.12% from the actual price. Copyright © 2022 Inderscience Enterprises Ltd.
ABSTRACT
Since the Covid-19 pandemic, we have seen a surge of retail investors that now can easily trade anywhere in the world with just a Smartphone. Social media groups like Reddit's WallStreetBets have almost put a few hedge funds close to bankruptcy by driving GameStop share prices to the sky. In this work, we propose a framework called GRAPES which uses Cloud Computing and Machine Learning to explore various forecasting techniques in predicting GameStop prices. In addition to this, this work also provides light insight into semi-automating forecasting models using tools such as Google Cloud Platform (GCP), Airflow and Streamlit. Moreover, we monitored the investment funds from Ark Invest to provide additional insight into the market in general. Overall, the paper shows the Autoregressive Moving Average (ARMA) model gives the best accuracy based on the Mean Absolute Percentage Error (MAPE) of 1.12%. This means the predictive model is out with an average of 1.12% from the actual price.
ABSTRACT
Education development has always been an important driving force for industrialization and modernization, a condition for promoting human resources, a fundamental factor for social development and economic growth. Human resource is the human resource of a country or a territory, a part of the resources, capable of mobilizing and organizing to participate in economic development society. After nearly six years of implementing the Resolution, our country’s cause of education and training has made fundamental changes in quality and effectiveness, recognized and appreciated by world educational organizations. Besides, education and training have always been considered the top national policy, the cause of the Party, State, and people. Investment in education is a development investment, given priority in socio-economic development programs and plans. The year 2021-2022 is also the academic year that the whole education sector continues to perform dual tasks. While actively implementing solutions to prevent and control the complicated Covid-19 epidemic, ensuring safe schools while trying their best to overcome difficulties to complete the school year’s tasks, meet the requirements of innovation and ensure the quality of education and training. Therefore, The objective of the article is to analyze the current situation of the education sector in recent years and propose recommendations to contribute to the development of education and training in the coming time. © RIGEO ● Review of International Geographical Education