Results 51 to 60 of about 6,744,718 (372)
Algorithmic trading with directional changes
Artificial Intelligence Review, 2022 Directional changes (DC) is a recent technique that summarises physical time data (e.g. daily closing prices, hourly data) into events, offering traders a unique perspective of the market to create novel trading strategies. This paper proposes the use of
Adesola Adegboye +2 more
semanticscholar +1 more source
Evidencing the "robot phase transition" in experimental human-algorithmic markets [PDF]
, 2012 Johnson et al. (2012) recently argued that analysis of millisecond-by-millisecond stock-price movements between 2006 and 2011 suggests the existence of a step-change or phase transition in the dynamics and behaviour of financial markets, in which human ...
Cartlidge, John, Cliff, Dave
core +3 more sources
Algorithmic Trading and Challenges on Retail Investors in Emerging Markets
Journal of Economics, Finance and Accounting Studies, 2022 Mixed views on automated trading in the extant literature lead to ongoing debates on algorithmic trading (AT) and high-frequency trading (HFT). This study elaborates on the rising ethical issues and regulatory challenges of algorithmic trading and high ...
Siyuan Yan +6 more
semanticscholar +1 more source
Modern trends of electronic trading by negotiable financial instruments
Vìsnik Žitomirsʹkogo Deržavnogo Tehnologìčnogo Unìversitetu: Ekonomìčnì Nauki, 2018 International negotiable financial instrument markets have a high level of electronic trading. It is displayed using the consolidated limit order book, the widening the range of trading orders, smart order routing, high speed access to the market on the ...
I.Kravchuk
doaj +1 more source
FinLlama: LLM-Based Financial Sentiment Analysis for Algorithmic Trading
International Conference on AI in FinanceOnline sources of financial news have a profound influence on both market movements and trading decisions. Standard sentiment analysis employs a lexicon-based approach to aid financial decisions, but struggles with context sensitivity and word ordering ...
Giorgos Iacovides +3 more
semanticscholar +1 more source
Algorithmic trading engines versus human traders – do they behave different in securities markets? [PDF]
, 2009 After exchanges and alternative trading venues have introduced electronic execution mechanisms worldwide, the focus of the securities trading industry shifted to the use of fully electronic trading engines by banks, brokers and their institutional ...
Gomber, Peter, Gsell, Markus
core +1 more source
Analyzing the impact of algorithmic trading on stock market behavior: A comprehensive review
World Journal of Advanced Engineering Technology and SciencesIn the ever-evolving tapestry of financial markets, algorithmic trading has emerged as a transformative force, redefining the boundaries of trading strategies and market dynamics.
Lawrence Damilare +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
The Features of Building a Portfolio of Trading Strategies Using the SAS OPTMODEL Procedure
Computation, 2021 The article describes the original information technology of the algorithmic trading, designed to solve the problem of forming the optimal portfolio of trade strategies.
Oleksandr Terentiev +4 more
doaj +1 more source
Assessing the impact of algorithmic trading on markets: a simulation approach [PDF]
, 2008 Innovative automated execution strategies like Algorithmic Trading gain significant market share on electronic market venues worldwide, although their impact on market outcome has not been investigated in depth yet.
Gsell, Markus
core +1 more source