Results 31 to 40 of about 4,165 (288)

Universal algorithmic trading

The Journal of Investment Strategies, 2012
The problem of universal sequential investment in stock markets is considered. We construct an algorithmic trading strategy that is asymptotically at least as good as any trading strategy that is not excessively complex and that computes the investment at each step using a fixed continuous function of the side information.
Vladimir G. Trunov, Vladimir V. V'yugin
openaire   +2 more sources

The Features of Building a Portfolio of Trading Strategies Using the SAS OPTMODEL Procedure

Computation, 2021
The article describes the original information technology of the algorithmic trading, designed to solve the problem of forming the optimal portfolio of trade strategies.
Oleksandr Terentiev, Tatyana Prosiankina-Zharova, Volodymyr Savastiyanov, Valerii Lakhno, Vira Kolmakova   +4 more
doaj   +1 more source

Algorithmic Trading with Model Uncertainty [PDF]

SIAM Journal on Financial Mathematics, 2013
Because algorithmic traders acknowledge that their models are incorrectly specified we allow for ambiguity in their choices to make their models robust to misspecification. We show how to include misspecification to: (i) the arrival rate of market orders (MOs), (ii) the fill probability of limit orders, and (iii) the dynamics of the midprice of the ...
Cartea, A, Donnelly, R, Jaimungal, S
openaire   +5 more sources

Modern trends of electronic trading by negotiable financial instruments

Vìsnik Žitomirsʹkogo Deržavnogo Tehnologìčnogo Unìversitetu: Ekonomìčnì Nauki, 2018
International negotiable financial instrument markets have a high level of electronic trading. It is displayed using the consolidated limit order book, the widening the range of trading orders, smart order routing, high speed access to the market on the ...
I.Kravchuk
doaj   +1 more source

Left hippocampus sparing model for glioblastoma radiotherapy by utilizing knowledge‐based planning and multi‐criteria optimization

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Results of a prospective, randomized controlled trial at our institute demonstrate an association between the dose to the left hippocampus and neurocognitive decline post‐radiotherapy for patients with glioblastoma. To minimize the dose to the left hippocampus, a left hippocampus sparing model was created using RapidPlan (RP) and multi‐
Shima Y. Tari, Amr Heikal, Connie Le, Fan Yang, Deepak Dinakaran, John Amanie, Albert Murtha, Lindsay S. Rowe, Wilson H. Roa, Samir Patel   +9 more
wiley   +1 more source

Data Science in Finance: Challenges and Opportunities

AI, 2023
Data science has become increasingly popular due to emerging technologies, including generative AI, big data, deep learning, etc. It can provide insights from data that are hard to determine from a human perspective.
Xianrong Zheng, Elizabeth Gildea, Sheng Chai, Tongxiao Zhang, Shuxi Wang   +4 more
doaj   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 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, Rimma Gorokhova, Sergey Korchagin, Vladimir Krasnikov   +3 more
doaj   +1 more source

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, Seuk Wai Phoong, Wai Khuen Cheng, Yen-Lin Chen   +3 more
doaj   +1 more source

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal, Austen Maniscalco, Justin Visak, Michael Dohopolski, Dominic Moon, Vladimir Avkshtol, Dan Nguyen, Steve Jiang, David Sher, Mu‐ Han Lin   +9 more
wiley   +1 more source