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When Two Worlds Collide: Using Particle Physics Tools to Visualize the Limit Order Book

We introduce a methodology to visualize the limit order book (LOB) using a particle physics lens. Open-source data-analysis tool ROOT, developed by CERN, is used to reconstruct and visualize futures markets. Message-based data is used, rather than snapshots, as it offers numerous visualization advan...

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Autores principales: Verhulst, Marjolein E., Debie, Philippe, Hageboeck, Stephan, Pennings, Joost M.E., Gardebroek, Cornelis, Naumann, Axel, van Leeuwen, Paul, Trujillo-Barrera, Andres A., Moneta, Lorenzo
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1002/fut.22251
http://cds.cern.ch/record/2807794
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author Verhulst, Marjolein E.
Debie, Philippe
Hageboeck, Stephan
Pennings, Joost M.E.
Gardebroek, Cornelis
Naumann, Axel
van Leeuwen, Paul
Trujillo-Barrera, Andres A.
Moneta, Lorenzo
author_facet Verhulst, Marjolein E.
Debie, Philippe
Hageboeck, Stephan
Pennings, Joost M.E.
Gardebroek, Cornelis
Naumann, Axel
van Leeuwen, Paul
Trujillo-Barrera, Andres A.
Moneta, Lorenzo
author_sort Verhulst, Marjolein E.
collection CERN
description We introduce a methodology to visualize the limit order book (LOB) using a particle physics lens. Open-source data-analysis tool ROOT, developed by CERN, is used to reconstruct and visualize futures markets. Message-based data is used, rather than snapshots, as it offers numerous visualization advantages. The visualization method can include multiple variables and markets simultaneously and is not necessarily time dependent. Stakeholders can use it to visualize high-velocity data to gain a better understanding of markets or effectively monitor markets. In addition, the method is easily adjustable to user specifications to examine various LOB research topics, thereby complementing existing methods.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-28077942023-01-31T08:33:46Zdoi:10.1002/fut.22251http://cds.cern.ch/record/2807794engVerhulst, Marjolein E.Debie, PhilippeHageboeck, StephanPennings, Joost M.E.Gardebroek, CornelisNaumann, Axelvan Leeuwen, PaulTrujillo-Barrera, Andres A.Moneta, LorenzoWhen Two Worlds Collide: Using Particle Physics Tools to Visualize the Limit Order Bookphysics.data-anOther Fields of Physicsq-fin.TRWe introduce a methodology to visualize the limit order book (LOB) using a particle physics lens. Open-source data-analysis tool ROOT, developed by CERN, is used to reconstruct and visualize futures markets. Message-based data is used, rather than snapshots, as it offers numerous visualization advantages. The visualization method can include multiple variables and markets simultaneously and is not necessarily time dependent. Stakeholders can use it to visualize high-velocity data to gain a better understanding of markets or effectively monitor markets. In addition, the method is easily adjustable to user specifications to examine various LOB research topics, thereby complementing existing methods.arXiv:2109.04812oai:cds.cern.ch:28077942021-09-10
spellingShingle physics.data-an
Other Fields of Physics
q-fin.TR
Verhulst, Marjolein E.
Debie, Philippe
Hageboeck, Stephan
Pennings, Joost M.E.
Gardebroek, Cornelis
Naumann, Axel
van Leeuwen, Paul
Trujillo-Barrera, Andres A.
Moneta, Lorenzo
When Two Worlds Collide: Using Particle Physics Tools to Visualize the Limit Order Book
title When Two Worlds Collide: Using Particle Physics Tools to Visualize the Limit Order Book
title_full When Two Worlds Collide: Using Particle Physics Tools to Visualize the Limit Order Book
title_fullStr When Two Worlds Collide: Using Particle Physics Tools to Visualize the Limit Order Book
title_full_unstemmed When Two Worlds Collide: Using Particle Physics Tools to Visualize the Limit Order Book
title_short When Two Worlds Collide: Using Particle Physics Tools to Visualize the Limit Order Book
title_sort when two worlds collide: using particle physics tools to visualize the limit order book
topic physics.data-an
Other Fields of Physics
q-fin.TR
url https://dx.doi.org/10.1002/fut.22251
http://cds.cern.ch/record/2807794
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