Thai Immigrant Entrepreneurs in New Zealand

Thechatakerng, Pusanisa

doi:10.1007/978-3-642-34447-3_60

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…In this chapter, we choose to use daily Klevel stock data as the data type selection. The quantitative trading strategy section mainly introduces task selection and specific operational decision-making [10] to better implement the daily K quantitative trading method based on deep learning.Here is a sample illustration and caption for a multimedia file:…”

Section: Quantitative Trading Strategiesmentioning

confidence: 99%

A Study of Daily K-Level Quantitative Trading Based on Deep Learning

Cheng¹

2023

Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Han

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This paper proposes a Daily K-Level Quantitative Trading Strategy (DKTS) based on deep learning, which aims to predict the future stock price trends in the daily Klevel and conduct corresponding quantitative trading using historical data and LSTM networks. We use Long Short-Term Memory (LSTM) for feature extraction and predictive modeling, transforming historical data into multidimensional time series data to adapt to the input format of deep learning models. Through the analysis of experimental results on various indexes in the A-share market, this method shows good prediction accuracy and stability. To verify the practical effect of the model, we conducted trading backtests in the actual stock market. The experimental results show that using a deep learning model for trading yields significant returns on multiple indexes and individual stocks, while also demonstrating better risk control and drawdown rates. The research results of this paper indicate that deep learning has broad application prospects in the field of quantitative trading. In the future, we will continue to explore and optimize deep learning models to improve their reliability and stability in practical trading.

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Section: Quantitative Trading Strategiesmentioning

confidence: 99%

A Study of Daily K-Level Quantitative Trading Based on Deep Learning

Cheng¹

2023

Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Han

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“…Research that has been conducted all over the world regarding immigrant entrepreneurship (e.g. Cain & Spoonley 2013;Kerr & Kerr 2016;Thechatakerng 2012) has given rise to the recent research in South Africa, including this study to find out the barriers affecting immigrant entrepreneurs' ventures.…”

Section: Read Onlinementioning

confidence: 99%

A narrative analysis of barriers encountered by a sample of immigrant entrepreneurs in the Eastern Cape province of South Africa

Muchineripi

Chinyamurindi

Chimucheka

2019

The Journal for Transdisciplinary Research in Southern Africa

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“…The terms entrepreneurship and small and medium enterprises (SME) are often used interchangeably in many studies conducted in the field of entrepreneurship (Agupusi 2007). Thechatkerng (2012) points out that the theories of immigrant entrepreneurship include Middleman minority theory, the Blocked mobility theory, the Ethnic enclave economy theory, and Interactive theory. The Middleman minority theory can be explained by the role that minority groups play an intermediary between producers of the dominant group and minority customers in different societies.…”

Section: Immigrant Entrepreneurshipmentioning

confidence: 99%