183 related articles for article (PubMed ID: 26890927)
1. Deep Direct Reinforcement Learning for Financial Signal Representation and Trading.
Deng Y; Bao F; Kong Y; Ren Z; Dai Q
IEEE Trans Neural Netw Learn Syst; 2017 Mar; 28(3):653-664. PubMed ID: 26890927
[TBL] [Abstract][Full Text] [Related]
2. Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning.
Tsantekidis A; Passalis N; Tefas A
Neural Netw; 2021 Aug; 140():193-202. PubMed ID: 33774425
[TBL] [Abstract][Full Text] [Related]
3. QF-TraderNet: Intraday Trading
Qiu Y; Qiu Y; Yuan Y; Chen Z; Lee R
Front Artif Intell; 2021; 4():749878. PubMed ID: 34778753
[TBL] [Abstract][Full Text] [Related]
4. Price Trailing for Financial Trading Using Deep Reinforcement Learning.
Tsantekidis A; Passalis N; Toufa AS; Saitas-Zarkias K; Chairistanidis S; Tefas A
IEEE Trans Neural Netw Learn Syst; 2021 Jul; 32(7):2837-2846. PubMed ID: 32516114
[TBL] [Abstract][Full Text] [Related]
5. Dynamic stock-decision ensemble strategy based on deep reinforcement learning.
Yu X; Wu W; Liao X; Han Y
Appl Intell (Dordr); 2023; 53(2):2452-2470. PubMed ID: 35572052
[TBL] [Abstract][Full Text] [Related]
6. Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach.
Tung WL; Quek C
Expert Syst Appl; 2011 May; 38(5):4668-4688. PubMed ID: 32288336
[TBL] [Abstract][Full Text] [Related]
7. Modeling limit order trading with a continuous action policy for deep reinforcement learning.
Tsantekidis A; Passalis N; Tefas A
Neural Netw; 2023 Aug; 165():506-515. PubMed ID: 37348431
[TBL] [Abstract][Full Text] [Related]
8. Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets.
Nagy P; Calliess JP; Zohren S
Front Artif Intell; 2023; 6():1151003. PubMed ID: 37818429
[TBL] [Abstract][Full Text] [Related]
9. Financial Stock Investment Management Using Deep Learning Algorithm in the Internet of Things.
Fan J; Peng S
Comput Intell Neurosci; 2022; 2022():4514300. PubMed ID: 35880062
[TBL] [Abstract][Full Text] [Related]
10. LSTM-DDPG for Trading with Variable Positions.
Jia Z; Gao Q; Peng X
Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640890
[TBL] [Abstract][Full Text] [Related]
11. EEG-Based Emotion Classification in Financial Trading Using Deep Learning: Effects of Risk Control Measures.
Tripathi B; Sharma RK
Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050533
[TBL] [Abstract][Full Text] [Related]
12. Emergent Solutions to High-Dimensional Multitask Reinforcement Learning.
Kelly S; Heywood MI
Evol Comput; 2018; 26(3):347-380. PubMed ID: 29932363
[TBL] [Abstract][Full Text] [Related]
13. Learning to trade via direct reinforcement.
Moody J; Saffell M
IEEE Trans Neural Netw; 2001; 12(4):875-89. PubMed ID: 18249919
[TBL] [Abstract][Full Text] [Related]
14. Neural Correlates of Direct Access Trading in a Real Stock Market: An fMRI Investigation.
Raggetti G; Ceravolo MG; Fattobene L; Di Dio C
Front Neurosci; 2017; 11():536. PubMed ID: 29033782
[No Abstract] [Full Text] [Related]
15. Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game.
Patel D; Hazan H; Saunders DJ; Siegelmann HT; Kozma R
Neural Netw; 2019 Dec; 120():108-115. PubMed ID: 31500931
[TBL] [Abstract][Full Text] [Related]
16. A Framework for Enhancing Stock Investment Performance by Predicting Important Trading Points with Return-Adaptive Piecewise Linear Representation and Batch Attention Multi-Scale Convolutional Recurrent Neural Network.
Lin Y; Liu B
Entropy (Basel); 2023 Oct; 25(11):. PubMed ID: 37998192
[TBL] [Abstract][Full Text] [Related]
17. Structural break-aware pairs trading strategy using deep reinforcement learning.
Lu JY; Lai HC; Shih WY; Chen YF; Huang SH; Chang HH; Wang JZ; Huang JL; Dai TS
J Supercomput; 2022; 78(3):3843-3882. PubMed ID: 34421218
[No Abstract] [Full Text] [Related]
18. High-frequency trading and networked markets.
Musciotto F; Piilo J; Mantegna RN
Proc Natl Acad Sci U S A; 2021 Jun; 118(26):. PubMed ID: 34172575
[TBL] [Abstract][Full Text] [Related]
19. Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning.
Blakeman S; Mareschal D
Neural Netw; 2022 Jun; 150():408-421. PubMed ID: 35358888
[TBL] [Abstract][Full Text] [Related]
20. Biclustering Learning of Trading Rules.
Huang Q; Wang T; Tao D; Li X
IEEE Trans Cybern; 2015 Oct; 45(10):2287-98. PubMed ID: 25494520
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
