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- W2890890790 abstract "The empirical research on the financial trading market in the past few years is quite important and complex. In addition to discover the characteristics of the market trend movement, that buying and selling timing in the market has a great impact on profitability performance. Therefore, through the extension study of previously published literature, there should be existing relatively low risk buying and selling points in the trading market. Using market profile indicators and financial engineering physical quantities to find trade signals, and using reverse-operation trading strategies to verify whether it is a relatively low-risk buying and selling point. The results of this study show that by statistically significant differences in profitability performance, it proves that there exist relatively low risk buying and selling points in the financial trading market. There are three contributions to this study: 1).This study refutes both the Efficient-market Theory and the Random Walk Theory and there is the existence of relatively low-risk buying and selling points in the market. 2). Verify the financial physics of the trading market 3). Verify the applicability of the new indicator definition for the market profile." @default.
- W2890890790 created "2018-09-27" @default.
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- W2890890790 date "2018-06-25" @default.
- W2890890790 modified "2023-09-27" @default.
- W2890890790 title "Using Artificial Neural Networks and Market Profile Theory to Construct the Trading Analysis in Stock Market" @default.
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- W2890890790 doi "https://doi.org/10.1145/3233347.3233385" @default.
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