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2020 – today
- 2023
[i8]Konark Jain, Nick Firoozye
, Jonathan Kochems, Philip C. Treleaven:
Limit Order Book Dynamics and Order Size Modelling Using Compound Hawkes Process. CoRR abs/2312.08927 (2023)- 2022
- [j3]Gabriel Borrageiro, Nick Firoozye, Paolo Barucca:
Reinforcement Learning for Systematic FX Trading. IEEE Access 10: 5024-5036 (2022) - [j2]Gabriel Borrageiro, Nick Firoozye, Paolo Barucca:
The Recurrent Reinforcement Learning Crypto Agent. IEEE Access 10: 38590-38599 (2022) - [c3]Gabriel Francisco Borrageiro, Nick Firoozye, Paolo Barucca:
Sequential asset ranking in nonstationary time series. ICAIF 2022: 454-462 - [i7]Gabriel Borrageiro, Nick Firoozye, Paolo Barucca:
The Recurrent Reinforcement Learning Crypto Agent. CoRR abs/2201.04699 (2022) - [i6]Gabriel Borrageiro, Nick Firoozye, Paolo Barucca:
Sequential Asset Ranking within Nonstationary Time Series. CoRR abs/2202.12186 (2022) - 2021
- [i5]Gabriel Borrageiro, Nick Firoozye, Paolo Barucca:
Online Learning with Radial Basis Function Networks. CoRR abs/2103.08414 (2021) - [i4]Gabriel Borrageiro, Nick Firoozye, Paolo Barucca:
Reinforcement Learning for Systematic FX Trading. CoRR abs/2110.04745 (2021) - 2020
- [c2]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: 14:1-14:8 - [i3]Adriano S. Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip C. Treleaven:
QuantNet: Transferring Learning Across Systematic Trading Strategies. CoRR abs/2004.03445 (2020)
2010 – 2019
- 2019
- [j1]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): 83-103 (2019) - [i2]Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven:
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination. CoRR abs/1901.01751 (2019) - 2018
- [c1]Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven:
Mid-Curve Recommendation System: a Stacking Approach Through Neural Networks. IJCNN 2018: 1-8 - [i1]Adriano Soares Koshiyama, Nick Firoozye, Philip C. Treleaven:
A Machine Learning-based Recommendation System for Swaptions Strategies. CoRR abs/1810.02125 (2018)
Coauthor Index
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