Results 61 to 70 of about 4,039 (303)

Gated Bayesian networks for algorithmic trading

International Journal of Approximate Reasoning, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marcus Bendtsen, José M. Peña 0001
openaire   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

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  

Algorithmic Aspects of Strategic Trading

CoRR
Algorithmic trading in modern financial markets is widely acknowledged to exhibit strategic, game-theoretic behaviors whose complexity can be difficult to model. A recent series of papers (Chriss, 2024b,c,a, 2025) has made progress in the setting of trading for position building. Here parties wish to buy or sell a fixed number of shares in a fixed time
Michael Kearns, Mirah Shi
openaire   +2 more sources

Receptor‐Free Identification of Toxic Gases Enabled by Hygroscopic Aqueous Salt Films

Advanced Functional Materials, EarlyView.
Water as a gas sensor coating sounds impossible—until it stops evaporating. Here, hygroscopic salt solutions (LiCl, LiBr, H3PO4) form non‐drying aqueous films on CNT chemiresistors under ambient air. Gases partition into these liquid layers, sometimes transforming into water, and generate salt‐specific resistance fingerprints across a four‐channel ...
Seongwoo Lee, Yun‐Tae Kim, Hwarang Choi, Sanghwan Park, Seongyeop Lim, Chang Young Lee   +5 more
wiley   +1 more source

Malta algorithmic trading [PDF]

, 2014
Algorithmic trading concerns trade in financial instruments where a computer algorithm determines individual parameters of orders with little or no human intervention.
Spiteri, Laura, Cassar, Charles
core  

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

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