Research paper / RESOURCE PROFILE

Feature Engineering for Mid-Price Prediction

Evaluates feature-engineering choices for deep-learning mid-price prediction on order-book data.

arxiv.orgPublished Apr 10, 2019
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Overview

Evaluates feature-engineering choices for deep-learning mid-price prediction on order-book data.

Topics & capabilities

order-bookfeature-engineeringeducationpaper

Publication information

Publication title
Feature Engineering for Mid-Price Prediction with Deep Learning
Authors
Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Published
Apr 10, 2019
Last publication revision
Jun 7, 2019
Subject areas
q-fin.ST, cs.LG
Publication source
arxiv.org · abs/1904.05384v3 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/1904.05384 ↗

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