Nick Firoozye

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Radial Basis Function Network

Trading Strategies

Top Venues

Intell. Syst. Account. Finance Manag.

Publications

Konark Jain, Nick Firoozye, Jonathan Kochems, Philip C. Treleaven
Limit Order Book Dynamics and Order Size Modelling Using Compound Hawkes Process. CoRR (2023)
Gabriel Borrageiro, Nick Firoozye, Paolo Barucca
Reinforcement Learning for Systematic FX Trading. IEEE Access 10 (2022)
Gabriel Francisco Borrageiro, Nick Firoozye, Paolo Barucca
Sequential asset ranking in nonstationary time series. ICAIF (2022)
Gabriel Borrageiro, Nick Firoozye, Paolo Barucca
The Recurrent Reinforcement Learning Crypto Agent. IEEE Access 10 (2022)
Gabriel Borrageiro, Nick Firoozye, Paolo Barucca
The Recurrent Reinforcement Learning Crypto Agent. CoRR (2022)
Gabriel Borrageiro, Nick Firoozye, Paolo Barucca
Sequential Asset Ranking within Nonstationary Time Series. CoRR (2022)
Gabriel Borrageiro, Nick Firoozye, Paolo Barucca
Online Learning with Radial Basis Function Networks. CoRR (2021)
Gabriel Borrageiro, Nick Firoozye, Paolo Barucca
Reinforcement Learning for Systematic FX Trading. CoRR (2021)
Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
Algorithms in future capital markets: a survey on AI, ML and associated algorithms in capital markets. ICAIF (2020)
Adriano S. Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip C. Treleaven
QuantNet: Transferring Learning Across Systematic Trading Strategies. CoRR (2020)
Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination. CoRR (2019)
Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
A derivatives trading recommendation system: The mid-curve calendar spread case. Intell. Syst. Account. Finance Manag. 26 (2) (2019)
Adriano Soares Koshiyama, Nick Firoozye, Philip C. Treleaven
A Machine Learning-based Recommendation System for Swaptions Strategies. CoRR (2018)
Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
Mid-Curve Recommendation System: a Stacking Approach Through Neural Networks. IJCNN (2018)