Verify the profit and risk of stock price prediction from deep learning by using program trading
碩士 === 國立中央大學 === 資訊管理學系 === 107 === Normally, when deep learning is used to predict the price of the financial commodity, people most used the statistical function (such as R^2) that compliance to the numerical error to assessing the accuracy of the estimate as a learning mechanism. However, for th...
Main Authors: | Li-Chen Tai, 戴立宸 |
---|---|
Other Authors: | Chih-cheng Hsu |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/4x9qv3 |
Similar Items
-
How to apply Deep Learning to predict the profit and risk analysis of stock trading in the next week
by: CHIEN-CHIA LIN, et al.
Published: (2019) -
Using Moving Window for Verifying Program Trading’s Robustness Profit and Risk to Design and Implement an Analyzing Platform.
by: Cheng-Yu Huang, et al.
Published: (2016) -
Research on the Application of Feature Selection for Stock Price Prediction and Profitability
by: Li-Pin Jen, et al.
Published: (2018) -
Toward stock price prediction using Deep Learning
by: Guan-YILee, et al.
Published: (2019) -
Does capitalization size affect the pricing of over-trading stocks?
by: Tai, Jui-Ming, et al.
Published: (2017)