Option is a well-known financial derivative that attracts attention from investors and scholars, due to its flexible investment strategies. In this paper, we sought to establish an option …
ME Wu, JH Syu, JCW Lin, JM Ho - IEEE transactions on fuzzy …, 2021 - ieeexplore.ieee.org
Trading strategies can be divided into two categories, ie, those with momentum characteristic and those that appear contrarian. The characteristics of trading strategies have …
JH Syu, JCW Lin, CJ Wu, JM Ho - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
With the rapid development of quantitative trading, stock selection is an ongoing task that requires consideration of the characteristics of stocks and investment strategies. Fuzzy set …
In the past, most strategies were mainly designed to focus on stocks or futures as the trading target. However, due to the enormous number of companies in the market, it is not easy to …
TL Luo, ME Wu, CM Chen - Journal of Intelligent & Fuzzy …, 2020 - content.iospress.com
Quantitative trading is a crucial aspect of money management; however, conventional trading strategies are based on indicators and signals, despite the fact that position sizing is …
JH Syu, ME Wu, SH Lee, JM Ho - 2019 IEEE Conference on …, 2019 - ieeexplore.ieee.org
Opening Range Breakout (ORB) is a fairly intraday trading strategy. We set the resistance and the support levels by the price in opening interval to follow the trend in the futures …
ME Wu, JH Syu, JCW Lin, JM Ho - Knowledge-Based Systems, 2021 - Elsevier
Opening range breakout (ORB) is a well-known intraday trading strategy via technical analysis. ORB lacks robustness against market uncertainties (eg, information from …
JH Syu, ME Wu - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Opening range breakout (ORB) is a well-known trading strategy in which predetermined price thresholds are used to characterize price movements. However, some researchers …
D Chakraborty, S Ghosh, A Ghosh - arXiv preprint arXiv:2204.13422, 2022 - arxiv.org
Stock prices are highly volatile and sudden changes in trends are often very problematic for traditional forecasting models to handle. The standard Long Short Term Memory (LSTM) …