Results 131 to 140 of about 4,165 (288)

Synergizing quantitative finance models and market microstructure analysis for enhanced algorithmic trading strategies

open access: yesJournal of Open Innovation: Technology, Market and Complexity
In today’s complex financial markets, “Algorithmic Trading” has become very important. The study delves into the amalgamation of four pivotal indicators - Relative Strength Index (RSI), Exponential Moving Average (EMA), Volume-Weighted Average Price ...
Om Mengshetti   +5 more
doaj  

A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search

open access: yesAdvanced Science, EarlyView.
Pareto Monte Carlo Tree Search Molecular Generation (PMMG), a molecular generation approach leveraging Monte Carlo Tree Search (MCTS) and Pareto algorithm, efficiently explores the Pareto front in high‐dimensional objective spaces for multi‐objective drug design.
Yifei Liu   +12 more
wiley   +1 more source

Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics

open access: yesAdvanced Science, EarlyView.
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch   +4 more
wiley   +1 more source

Optimal trading trajectories for algorithmic trading

open access: yesThe Journal of Investment Strategies, 2016
Gabriel H. Tucci, M. Valentina Vega
openaire   +2 more sources

Monolithic 3D Oscillatory Ising Machine Using Reconfigurable FeFET Routing for Large‐Scalability and Low‐Power Consumption

open access: yesAdvanced Science, EarlyView.
This paper introduces a novel M3D Oscillatory Ising Machine (OIM) utilizing FeFETs as in‐memory routing switches and biristors as oscillators. The system achieves precise control, scalability, and low power consumption, solving complex optimization problems like MaxCUT problem.
Joon Pyo Kim   +8 more
wiley   +1 more source

Twin neural network regression

open access: yesApplied AI Letters, Volume 3, Issue 4, December 2022., 2022
We propose to reformulate a regression problem into predicting differences between target values. This allows for leveraging consistency conditions which can be used as uncertainty estimates and enable the production of an ensemble of predictions while training only a single neural network.
Sebastian Johann Wetzel   +3 more
wiley   +1 more source

Improving the Machine Learning Stock Trading System: An N-Period Volatility Labeling and Instance Selection Technique

open access: yesComplexity
Financial technology is crucial for the sustainable development of financial systems. Algorithmic trading, a key area in financial technology, involves automated trading based on predefined rules.
Young Hun Song   +2 more
doaj   +1 more source

Uncover Hidden Physical Information of Soft Matter by Observing Large Deformation

open access: yesAdvanced Science, EarlyView.
Detecting internal abnormalities in soft matter remains challenging due to its heterogeneous nature. This study introduces a method that infers hidden physical properties by matching observed deformation with simulation through parallel Bayesian optimization.
Huanyu Yang   +9 more
wiley   +1 more source

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