Today, there is a growing number of digital assets, often built on questionable technical foundations. We design and implement supervized learning models in order to explore different aspects of a cryptocurrency affecting its performance, its stability as well as its daily price fluctuation. One characteristic feature of our approach is that we...
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May 6, 2019 (v1)Conference paperUploaded on: December 8, 2023
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July 24, 2018 (v1)Conference paper
We describe the algebraic-geometric modeling platform Axl, which provides tools for the manipulation, computation and visualisation of semi-algebraic models. This includes meshes, basic geometric objects such as spheres, cylinders, cones, ellipsoids, torus, piecewise polynomial parameterisations of curves, surfaces or volumes such as b-spline...
Uploaded on: December 4, 2022 -
December 2021 (v1)Journal article
International audience
Uploaded on: December 3, 2022 -
June 20, 2021 (v1)Conference paper
We exploit a recent computational framework to model and detect financial crises in stock markets, as well as shock events in cryptocurrency markets, which are characterized by a sudden or severe drop in prices. Our method manages to detect all past crises in the French industrial stock market starting with the crash of 1929, including...
Uploaded on: December 3, 2022 -
September 13, 2022 (v1)Journal article
International audience
Uploaded on: February 22, 2023