Results 81 to 90 of about 488,225 (292)
Machine Learning Framework for Algorithmic Trading
Computer Sciences & Mathematics ForumPresent financial markets are characterized by great volatility and nonlinear dynamics since they are driven by both quantitative forces and qualitative mood. Traditional trading practices cannot capture such nuance.
Krishnamurthy Nayak +2 more
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The Impact of AI Software on Financial Transactions [PDF]
SHS Web of ConferencesThe rapid advancement of artificial intelligence (AI) has profoundly transformed financial trading, enhanced efficiency, accuracy, and customer service while introducing new challenges.
Li Boyang
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Scalable grid resource trading with greedy heuristics [PDF]
, 2010 As Grid infrastructures become more widely used by the academic and commercial world, the problem of resource allocation increases in complexity. Resource trading markets are one mechanism that allows many resource owners and resource consumers to trade.
Lee, Kevin +9 more
core +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Algorithmic Trading Using Double Deep Q-Networks and Sentiment Analysis
InformationIn this work, we explore the application of deep reinforcement learning (DRL) to algorithmic trading. While algorithmic trading is focused on using computer algorithms to automate a predefined trading strategy, in this work, we train a Double Deep Q ...
Leon Tabaro +6 more
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Algorithmic and high-frequency trading in Borsa Istanbul
Borsa Istanbul Review, 2016 This paper investigates the levels of algorithmic trading (AT) and high-frequency trading (HFT) in an emerging market, Borsa Istanbul (BIST), utilizing a dataset of 354 trading days between January 2013 and May 2014.
Oguz Ersan, Cumhur Ekinci
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Liquidity cycles and make/take fees in electronic markets [PDF]
In this paper, the authors develop a dynamic model of trading with two specialized sides: traders posting quotes (“market makers”) and traders hitting quotes (“market takers”).
Kandel, Eugene +2 more
core
Algorithmic procedures in civil law matters [PDF]
, 2019 Algorithms generally generate mistrust as to their use in the final decision of a trial. The paper describes some cases where an algorithmic system of justice provides better protection of the interests of the parties than a human ...
Francesco Romeo
core
Advanced Functional Materials, EarlyView.Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang +11 more
wiley +1 more source
Algorithmic crypto trading using information-driven bars, triple barrier labeling and deep learning
Financial InnovationThis paper investigates the optimization of data sampling and target labeling techniques to enhance algorithmic trading strategies in cryptocurrency markets, focusing on Bitcoin (BTC) and Ethereum (ETH).
Przemysław Grądzki +2 more
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