Results 41 to 50 of about 205,451 (305)
The Impact of Iceberg Orders in Limit Order Books [PDF]
SSRN Electronic Journal, 2009 We examine the impact of iceberg orders on the price and order flow dynamics in limit order books. Iceberg orders allow traders to simultaneously hide a large portion of their order size and signal their interest in trading to the market. We show that when market participants detect iceberg orders they tend to strongly respond by submitting matching ...
Frey, Stefan, Sandås, Patrik
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LOBIN: In-Network Machine Learning for Limit Order Books
2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR), 2023 Machine learning is driving the evolution of algorithmic trading, but the demands for fast execution speed remain. Although both aim to increase profitability, embedding more powerful machine learning approaches and lowering trading latencies are hard to achieve simultaneously. Offloading machine learning inference to programmable network devices, also
Xinpeng Hong +3 more
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Reinforcement Learning Approaches to Optimal Market Making
Mathematics, 2021 Market making is the process whereby a market participant, called a market maker, simultaneously and repeatedly posts limit orders on both sides of the limit order book of a security in order to both provide liquidity and generate profit.
Bruno Gašperov +3 more
doaj +1 more source
مجلة كلية التربية للبنات, 2021 This research discusses the verbal follow phenomenon in Al-Amali Abi Al-Qali’s book (seq.356 Hijri). It aims to limit the examples of this phenomenon in the book, and examine it phonologically.
Hind Fadhil Abbas
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Compound Hawkes processes in limit order books [PDF]
, 2019 24 pages, 16 figures.
Swishchuk, Anatoliy +3 more
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Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Feature Engineering for Mid-Price Prediction With Deep Learning
IEEE Access, 2019 Mid-price movement prediction based on the limit order book data is a challenging task due to the complexity and dynamics of the limit order book. So far, there have been very limited attempts for extracting relevant features based on the limit order ...
Adamantios Ntakaris +4 more
doaj +1 more source
Tick size, liquid stocks and market quality: Evidence from a natural experiment in a unique setting
Borsa Istanbul Review, 2023 We study the causal impacts of a tick size reduction policy in highly liquid stocks, exploiting a unique experiment in Borsa Istanbul leading to substantial exogenous variation in the tick size. Adapting a differences-in-differences strategy with a novel
Güzhan Gülay, Yaşar Ersan
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Online Learning in Limit Order Book Trade Execution [PDF]
IEEE Transactions on Signal Processing, 2017 In this paper, we propose an online learning algorithm for optimal execution in the limit order book of a financial asset. Given a certain number of shares to sell and an allocated time window to complete the transaction, the proposed algorithm dynamically learns the optimal number of shares to sell via market orders at prespecified time slots within ...
Nima Akbarzadeh +2 more
openaire +3 more sources
Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review
Advanced Healthcare Materials, EarlyView.Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami +4 more
wiley +1 more source