Portfolio management system in equity market neutral using reinforcement learning

ME Wu, JH Syu, JCW Lin, JM Ho - Applied Intelligence, 2021 - Springer
Portfolio management involves position sizing and resource allocation. Traditional and
generic portfolio strategies require forecasting of future stock prices as model inputs, which …

Effective fuzzy system for qualifying the characteristics of stocks by random trading

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 …

Stock selection system through suitability index and fuzzy-based quantitative characteristics

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 …

Automated trading system for stock index using LSTM neural networks and risk management

TR Silva, AW Li, EO Pamplona - 2020 international joint …, 2020 - ieeexplore.ieee.org
Financial time series predictions are a challenge due to their nonlinear and chaotic nature.
In recent decades, many researchers and investors have studied methods to improve …

Portfolio management system with reinforcement learning

JH Syu, ME Wu, JM Ho - 2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
Portfolio management is a critical issue which should be skilled by position sizing and
resource allocation. Traditional and generic portfolio strategies require to forecast the future …

A framework of deep reinforcement learning for stock evaluation functions

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 …

[HTML][HTML] Evolutionary ORB-based model with protective closing strategies

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 …

Modifying ORB trading strategies using particle swarm optimization and multi-objective optimization

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 …

Truncated Quantile Critics Algorithm for Cryptocurrency Portfolio Optimization

L Xiao, X Wei, Y Xu, X Xu, K Gong… - … on Systems, Man, and …, 2023 - ieeexplore.ieee.org
This paper investigates portfolio management algorithm for the cryptocurrency market by
using the TQC (Truncated Quantile Critics) algorithm. The study is based on the daily prices …

Threshold-adjusted orb strategies with genetic algorithm and protective closing strategy on taiwan futures market

JH Syu, ME Wu, CH Chen, JM Ho - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Opening range breakout (ORB) is a well-known intraday trading strategy that generates
trading signals through technical analysis; however, ORB does not make full use of market …