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ITM Web of Conferences, 2021 Algorithmic trading uses algorithms that follow a trend and defined set of instructions to perform a trade. The trade can generate revenue at an inhuman and enhanced speed and frequency.
Mathur Medha +3 more
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Using algorithmic trading to analyze short term profitability of Bitcoin [PDF]
PeerJ Computer Science, 2021 Cryptocurrencies such as Bitcoin (BTC) have seen a surge in value in the recent past and appeared as a useful investment opportunity for traders. However, their short term profitability using algorithmic trading strategies remains unanswered.
Iftikhar Ahmad +4 more
doaj +3 more sources
Computer, 2011 In electronic financial markets, algorithmic trading refers to the use of computer programs to automate one or more stages of the trading process: pretrade analysis (data analysis), trading signal generation (buy and sell recommendations), and trade execution.
Giuseppe Nuti +3 more
core +3 more sources
Intelligent Algorithmic Trading Strategy Using Reinforcement Learning and Directional Change
IEEE Access, 2021 Designing a profitable trading strategy plays a critical role in algorithmic trading, where the algorithm can manage and execute automated trading decisions.
Monira Aloud, Nora Alkhamees
exaly +3 more sources
Algorithmic trading in turbulent markets☆ [PDF]
Pacific-Basin Finance Journal, 2020 Does Algorithmic Trading (AT) exacerbate price swings in turbulent markets? We find that stocks with high AT experience less price drops (surges) on days when the market declines (increases) for more than 2%. This result is consistent with the view that AT minimizes price pressures and mitigates transitory pricing errors. Further analyses show that the
Zhou H, Kalev P, Frino A.
europepmc +3 more sources
How Complexity and Uncertainty Grew with Algorithmic Trading [PDF]
Entropy, 2020 The machine-learning paradigm promises traders to reduce uncertainty through better predictions done by ever more complex algorithms. We ask about detectable results of both uncertainty and complexity at the aggregated market level.
Martin Hilbert, David Darmon
doaj +2 more sources
Social signals and algorithmic trading of Bitcoin [PDF]
Royal Society Open Science, 2015 The availability of data on digital traces is growing to unprecedented sizes, but inferring actionable knowledge from large-scale data is far from being trivial.
David Garcia, Frank Schweitzer
doaj +2 more sources
Systemic failures and organizational risk management in algorithmic trading: Normal accidents and high reliability in financial markets [PDF]
Social Studies of Science, 2022 Bo Hee Min, Christian Borch
exaly +2 more sources
Algorithm trading and its application in stock broking services [PDF]
E3S Web of Conferences, 2023 Purpose: Algorithmic trading provides a more systematic approach to active trading than methods based on trader intuition or instinct. The aim of the study is to examine the level of awareness among the brokers when integrated with technology for the ...
Vedapradha R. +5 more
doaj +1 more source
Flexible Decision Support System for Algorithmic Trading: Empirical Application on Crude Oil Markets
IEEE Access, 2022 Generating reliable trading signals is a challenging task for financial market professionals. This research designs a novel decision-support system (DSS) for algorithmic trading and applies it empirically on two main crude oil markets.
Cristiana Tudor, Robert Sova
doaj +1 more source