Results 61 to 70 of about 28,871 (249)
Distance-based High-frequency Trading
AbstractThe present paper approaches high-frequency trading from a computational science perspective, presenting a pattern recognition model to predict price changes of stock market assets. The technique is based on the feature-weighted Euclidean distance to the centroid of a training cluster. A set of micro technical indicators, traditionally employed
Travis Felker +2 more
openaire +1 more source
Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer +11 more
wiley +1 more source
High-frequency quantitative trading in the emerging digital currency market poses unique challenges due to the lack of established methods for extracting trading information.
Yijun He, Bo Xu, Xinpu Su
doaj +1 more source
Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
wiley +1 more source
Early Recognition of Treatment‐Responsive Rapidly Progressive Dementia: The Modified STAM3mP Score
ABSTRACT Early identification of patients with treatment‐responsive rapidly progressive dementia (RPD) is important as early treatment improves outcomes. The STAM3P score identifies treatment‐responsive RPD using “high risk” presenting features. We optimized performance by adding a time component (i.e., dementia within 3 months) and validated the ...
R. W. van Steenhoven +16 more
wiley +1 more source
A New model for conducting high-frequency Trading Using Collaborative Cellular Learning Automata Algorithm and Extremal Optimization (CLA-EC-EO ) [PDF]
IntroductionAt the same time as the speed of financial exchanges increases, many complications are also added to it, and the amount of attention paid to the role of human actors in it has faded, and the method of high-frequency trading is over time.
seyed ali paytakhti oskooe +2 more
doaj +1 more source
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
ABSTRACT Introduction/Objective Acute intracranial stenting during endovascular thrombectomy (EVT) for ischemic stroke requires intraprocedural antiplatelet therapy (APT) to maintain patency. However, the hemorrhagic risk of combining APT with intravenous thrombolysis (IVT) remains uncertain.
Aaron Rodriguez‐Calienes +75 more
wiley +1 more source
In order to make a comprehensive evaluation of the profit, risk prevention, profit and loss coefficient and other performance parameters of high frequency trading strategies, this paper proposes High Frequency Trading Strategy Evaluation System (SES ...
Y.W. Chen, J.F. Guo, C. Wang, N. Feng
doaj +1 more source
Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus +2 more
wiley +1 more source

