Results 71 to 80 of about 7,740,955 (377)
Extending the Omega model with momentum and reversal strategies to intraday trading.
PLoS ONE, 2023 This study develops the Omega model integrated with momentum and reversal strategies using high-frequency data on the component stocks of the S&P 500 Index and the NASDAQ 100.
Jing-Rung Yu +3 more
doaj +1 more source
Facilitation and Internalization Optimal Strategy in a Multilateral Trading Context [PDF]
, 2015 This paper studies four trading algorithms of a professional trader at a multilateral trading facility, observing a realistic two-sided limit order book whose dynamics are driven by the order book events.
Li, Qinghua
core
Trading model with pair pattern strategies [PDF]
Physica A: Statistical Mechanics and its Applications, 2008 22 pages, 16 ...
Fei Ren, Yi-Cheng Zhang, Yi-Cheng Zhang
openaire +4 more sources
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 +9 more
wiley +1 more source
Frontiers in Energy Research, 2023 An efficient energy trading strategy is proven to have a vital role in reducing participants’ payment in the energy trading process of the power grid, which can greatly improve the operation efficiency of the power grid and the willingness of ...
Feiye Zhang, Qingyu Yang, Donghe Li
doaj +1 more source
Empirical Limitations on High Frequency Trading Profitability [PDF]
, 2010 Addressing the ongoing examination of high-frequency trading practices in financial markets, we report the results of an extensive empirical study estimating the maximum possible profitability of the most aggressive such practices, and arrive at figures ...
Kearns, Michael +2 more
core +6 more sources
Stock Trading Strategies Based on Deep Reinforcement Learning
Scientific Programming, 2022 The purpose of stock market investment is to obtain more profits. In recent years, an increasing number of researchers have tried to implement stock trading based on machine learning.
Ya-wei Li, Peipei Liu, Ze Wang
semanticscholar +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 +4 more
wiley +1 more source
Trading Strategies within the Edges of No-Arbitrage [PDF]
SSRN Electronic Journal, 2015 We develop a trading strategy that employs limit and market orders in a multiasset economy where the assets are not only correlated, but can also be structurally dependent. To model the structural dependence, the mid-price processes follow a multivariate reflected Brownian motion on the closure of a no-arbitrage region which is dictated by the bid–ask ...
Cartea, Á, Jaimungal, S, Ricci, J
openaire +4 more sources
IEEE Transactions on Smart Grid, 2022 A microgrid is considered to be a smart power system that can integrate local renewable energy effectively. However, the intermittent nature of renewable energy causes operating pressure and additional expense in maintaining the stable operation by the ...
Zhuoli Zhao +8 more
semanticscholar +1 more source