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researcher

P. Treleaven

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • q-fin.PM1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedGenerative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination

25 citations · 25 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2020

QuantNet: Transferring Learning Across Systematic Trading Strategies

Adriano Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg +2

Systematic financial trading strategies account for over 80% of trade volume in equities and a large chunk of the foreign exchange market. In spite of the availability of data from…

cs.LG2019★ 25 cited

Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination

Adriano Koshiyama, Nick Firoozye, Philip Treleaven

Systematic trading strategies are algorithmic procedures that allocate assets aiming to optimize a certain performance criterion. To obtain an edge in a highly competitive environm…

q-fin.PM2018

A Machine Learning-based Recommendation System for Swaptions Strategies

Adriano Soares Koshiyama, Nick Firoozye, Philip Treleaven

Derivative traders are usually required to scan through hundreds, even thousands of possible trades on a daily basis. Up to now, not a single solution is available to aid in their…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.