Results 121 to 130 of about 4,039 (303)
Algorithmic trading in volatile markets
This paper considers algorithmic trading (AT) during the most volatile trading days on the Australian Securities Exchange from October 2008 till October 2009.
Kalev, P.S., Lian, G.A., Zhou, H.
core
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source
Risk aversion and the dynamics of optimal liquidation strategies in illiquid markets
We consider the infinite-horizon optimal portfolio liquidation problem for a von Neumann-Morgenstern investor in the liquidity model of Almgren (2003).
Schoeneborn, Torsten, Schied, Alexander
core
An artificial market model for the forex market
As financial markets have transitioned toward electronic trading, there has been a corresponding increase in the number of algorithmic strategies and degree of transaction frequency. This move to high-frequency trading at the millisecond level, propelled
Kimihiko Sasaki, Daisuke Yokouchi
doaj +1 more source
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source
How Sentiment Indicators Improve Algorithmic Trading Performance
This study explores the hypothesis that sentiment indicators can enhance the performance of algorithmic trading strategies. Specifically, we investigate the impact of incorporating investor sentiment metrics, such as the CNN Fear & Greed Index and ...
Raúl Gómez-Martínez +3 more
doaj +1 more source
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
Algorithmic trading : RTD Tango and its uses.
This report first covers the background of algorithmic trading and its developments. Next, the algorithmic trading software, RTD Tango, will be introduced followed by a brief guide to creation of a Bollinger Band Trading Strategy using the software ...
Hu, Huihui., Teo, Jun Li.
core
Algorithmic trading heavily relies on the optimization of rule-based strategies to maximize profitability and ensure robustness under volatile market conditions.
Kaled Hernández-Romo +4 more
doaj +1 more source

