Results 51 to 60 of about 4,039 (303)
Application of Bi-Directional Grid Constrained Stochastic Processes to Algorithmic Trading [PDF]
, 2021 Bi-directional Grid Constrained (BGC) Stochastic Processes (BGCSP) become more constrained the further they drift away from the origin or time axis are examined here.
Taranto, Aldo, Khan, Shahjahan
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, 2022 The thesis deals with the utilization of algorithmic approach in trading at stock markets. The objective of the thesis is to create a portfolio of a few trading systems focused on the American stocks which will, on the risk-adjusted basis outperform ...
Vu, Hoang Minh
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Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Applying Deep Reinforcement Learning to Algorithmic Trading
Современные информационные технологии и IT-образование, 2020 At the moment, there is a large volume of literature on exchange trading. Obviously, every year the mathematical base of work is becoming more complicated along with an increase in computing power, machines can process more metrics from year to year and ...
Petr Nikitin +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Frontiers in Artificial IntelligenceIntroductionThis study examines the impact of AI trading usage on investor financial resilience through a cognitive-behavioral process grounded in the Stimulus-Organism-Response (S-O-R) framework.MethodsAI trading usage and perceived financial ...
M. Vijayananth, N. Saravanabhavan
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Algorithmic setups for trading popular U.S. ETFs
Cogent Economics & Finance, 2020 In this research, we test whether common trading oscillators can outperform the buy-and-hold strategy (B&H) using six popular ETFs for the period of the last 20 years.
Gil Cohen
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Support Resistance Levels towards Profitability in Intelligent Algorithmic Trading Models
Mathematics, 2022 Past studies showed that more advanced model architectures and techniques are being developed for intelligent algorithm trading, but the input features of the models across these studies are very similar.
Jireh Yi-Le Chan +3 more
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Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure
Advanced Engineering Materials, EarlyView.Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari +3 more
wiley +1 more source
From trading to technical trading, algorithmic trading and HFT trading
, 2022 Let us go back a little bit and try to look at this phenomenon in the context of the current situation. Financial markets, particularly stock markets, stimulate buying and selling of financial instruments - contracts that give a right for a gradual withdrawal of funds. Different players can be involved in these markets at different times.
openaire +1 more source