Results 61 to 70 of about 37,135 (293)

Systematic Review on Algorithmic Trading

Acta Informatica Pragensia
Background: Algorithmic trading systems (ATS) are defined by the use of computational algorithms for automating financial transactions. They have become a critical part of modern financial markets because of their efficiency and ability to carry out ...
David Jukl, Jan Lansky
doaj   +1 more source

A Stock Trading Algorithm Model Proposal, based on Technical Indicators Signals [PDF]

Informatică economică, 2011
The algorithmic stock trading has developed exponentially in the past years, while the automatism of the technical analysis was the main research are for implementing the algorithms.
Darie MOLDOVAN, Mircea MOCA, Stefan Ioan NITCHI   +2 more
doaj  

How can Multi-Agents AI Systems help Reduce Biases in Trading Algorithms? [PDF]

Revista de Management Comparat International
Algorithmic trading is now the most common form of trading in financial markets, and it has been estimated that it accounts for 60-75% of the total trading volume in major markets.
Florin GROSU
doaj   +1 more source

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
doaj   +1 more source

ALGORITHMIC TRADING OF CO-INTEGRATED ASSETS

International Journal of Theoretical and Applied Finance, 2015
We assume that the drift in the returns of asset prices consists of an idiosyncratic component and a common component given by a co-integration factor. We analyze the optimal investment strategy for an agent who maximizes expected utility of wealth by dynamically trading in these assets.
Cartea, A, Jaimungal, S
openaire   +3 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

A Hybrid Deep Reinforcement Learning Approach for Algorithmic Trading in Commodity Futures Markets

Applied Computational Intelligence and Soft Computing
The financial markets have been affected extensively in recent years, due to algorithmic trading, predominantly concerning commodity futures. This research provides a novel hybrid approach combining classical machine learning algorithms (random forest ...
Baljinder Kaur, Brahmaleen K. Sidhu, Gurjit Singh Bhathal   +2 more
doaj   +1 more source

Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies

Array
Algorithmic trading has revolutionized financial markets, offering rapid and efficient trade execution. The integration of deep learning (DL) into these systems has further enhanced predictive capabilities, providing sophisticated models that capture ...
MD Shahriar Mahmud Bhuiyan, MD AL Rafi, Gourab Nicholas Rodrigues, MD Nazmul Hossain Mir, Adit Ishraq, M.F. Mridha, Jungpil Shin   +6 more
doaj   +1 more source

Expanding Chemical Space of Nucleic Acid Nanoparticles for Tunable Antiviral‐Like Immunomodulatory Responses and Potent Adjuvant Activity

Advanced Functional Materials, EarlyView.
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj, Hannah S. Newton, Jian Wang, Laxmi Pandey, Yelixza I. Avilla, Phong Nguyen, Morgan Chandler, Justin Halman, Yasmine Radwan, Stephanie Smith, Elijah Edmondson, Simone Difilippantonio, Chelsea Sanders, Bao Tran, Yongmei Zhao, Shaojun Xie, Edward Cedrone, Barry W. Neun, Meni Wanunu, Nikolay V. Dokholyan, Marina A. Dobrovolskaia, Kirill A. Afonin   +21 more
wiley   +1 more source

PEDOT‐Based Eutectogel Electrode Arrays for Enhanced High‐Resolution Electrogastrography: Fabrication, Stability, and Wearable Performance

Advanced Functional Materials, EarlyView.
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter, Luke Gatecliff, Xudong Tao, Ruben Ruiz‐Mateos Serrano, Amy T. Jin, Matias L. Picchio, Daniele Mantione, Antonio Dominguez‐Alfaro, George G. Malliaras   +8 more
wiley   +1 more source