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Academic Journal

Predicting price intervals under exogenously induced stress.

Authors : Shead S; School of Accounting, Economics and Finance, Curtin University, Bentley, WA, Australia.; Durand RB

Subjects: Anticipation, Psychological* ; Forecasting* ; Stress, Physiological*

Source: PloS one [PLoS One] 2021 Sep 23; Vol. 16 (9), pp. e0255038. Date of Electronic Publication: 2021 Sep 23 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Editorial & Opinion

Investment in training, evidence based treatment, and research are necessary to prevent future deaths in eating disorders.

Authors : Ayton A; Faculty of Eating Disorder Psychiatry, Royal College of Psychiatrists, London E1 8BB, UK.

Subjects: Forecasting*; Biomedical Research/Biomedical Research/Biomedical Research/*trends ; Feeding and Eating Disorders/Feeding and Eating Disorders/Feeding and Eating Disorders/*prevention & control

Source: BMJ (Clinical research ed.) [BMJ] 2020 Dec 01; Vol. 371, pp. m4689. Date of Electronic Publication: 2020 Dec 01.Publisher: British Medical Association Country of Publication: England NLM ID: 8900488 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Deep reinforcement learning stock market trading, utilizing a CNN with candlestick images.

Authors : Brim A; Department of Computer Science, Utah State University, Logan, Utah, United States of America.; Flann NS

Subjects: Deep Learning* ; Investments*; Forecasting/Forecasting/Forecasting/*methods

Source: PloS one [PLoS One] 2022 Feb 18; Vol. 17 (2), pp. e0263181. Date of Electronic Publication: 2022 Feb 18 (Print Publication: 2022).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Improving stock trading decisions based on pattern recognition using machine learning technology.

Authors : Lin Y; School of Economics and Management, Beihang University, Beijing, China.; Liu S

Subjects: Decision Making* ; Machine Learning* ; Models, Economic*

Source: PloS one [PLoS One] 2021 Aug 06; Vol. 16 (8), pp. e0255558. Date of Electronic Publication: 2021 Aug 06 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

The predictive power of stock market's expectations volatility: A financial synchronization phenomenon.

Authors : Magner N; Facultad de Economía y Negocios, Universidad Finis Terrae, Santiago, Chile.; Lavin JF

Subjects: Forecasting/Forecasting/Forecasting/*methods ; Investments/Investments/Investments/*trends; Humans

Source: PloS one [PLoS One] 2021 May 20; Vol. 16 (5), pp. e0250846. Date of Electronic Publication: 2021 May 20 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US.

Authors : Chiew D; Business School, The University of Western Australia, Perth, Australia.; Qiu J

Subjects: Entropy* ; Forecasting*; Financial Management/Financial Management/Financial Management/*trends

Source: PloS one [PLoS One] 2019 Apr 19; Vol. 14 (4), pp. e0215320. Date of Electronic Publication: 2019 Apr 19 (Print Publication: 2019).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Hybrid machine learning technique for forecasting Dhaka stock market timing decisions.

Authors : Banik S; School of Engineering and Computer Science, Independent University, Dhaka 1229, Bangladesh.; Khodadad Khan AF

Subjects: Artificial Intelligence* ; Decision Making* ; Forecasting*

Source: Computational intelligence and neuroscience [Comput Intell Neurosci] 2014; Vol. 2014, pp. 318524. Date of Electronic Publication: 2014 Feb 19.Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Modeling Markov switching ARMA-GARCH neural networks models and an application to forecasting stock returns.

Authors : Bildirici M; Yıldız Technical University, Department of Economics, Barbaros Bulvari, Besiktas, 34349 Istanbul, Turkey.; Ersin Ö

Subjects: Forecasting* ; Markov Chains* ; Models, Economic*

Source: TheScientificWorldJournal [ScientificWorldJournal] 2014; Vol. 2014, pp. 497941. Date of Electronic Publication: 2014 Apr 06.Publisher: Hindawi Publishing Corporation Country of Publication: United States NLM ID: 101131163 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Effectively training neural networks for stock index prediction: Predicting the S&P 500 index without using its index data.

Authors : Lee J; Department of Computer Science and Engineering, Korea University, Seoul, Korea.; Kang J

Subjects: Neural Networks, Computer*; Forecasting/Forecasting/Forecasting/*methods ; Investments/Investments/Investments/*statistics & numerical data

Source: PloS one [PLoS One] 2020 Apr 10; Vol. 15 (4), pp. e0230635. Date of Electronic Publication: 2020 Apr 10 (Print Publication: 2020).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Editorial & Opinion

Creating Our Future Through Investment and Resolve.

Authors : Merlino M

Subjects: Forecasting/Forecasting/Forecasting/*methods ; Investments/Investments/Investments/*trends ; Perioperative Nursing/Perioperative Nursing/Perioperative Nursing/*trends

Source: AORN journal [AORN J] 2020 Jan; Vol. 111 (1), pp. 3-4.Publisher: Wiley Country of Publication: United States NLM ID: 0372403 Publication Model: Print Cited Medium: Internet ISSN: 1878-0369

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