Leveragıng On Contınual Machıne Learnıng For Real Tıme Tradıng In Fınancıal Markets

Yıl 2024, Cilt: 9 Sayı: Issue: 2, 178 - 185

Emmanuel Ndidi Osegi , Vincent Ike Anıreh , Ifeanyi. C Emeto , Noble. A Ibiobu , Osu Joshua Orove , Uchechukwu Agi

https://doi.org/10.53070/bbd.1575411

Öz

In this research paper, a novel neural inspired approach called the Auditory Machine Intelligence (AMI) is proposed for the prediction of cryptocurrency price - the ripple (XRP/USD) trading pair. The AMI is implemented as part of an LUNO API systems app and real-time data generated and captured. Comparisons were also made with a popular method used in cryptocurrency trading called the Non-linear Auto-Regressive Neural Network (NARX-net). The experimental results considering the 40%, 60% and 80% training were reported for the both techniques. From the experimental results, it was clearly seen that on the average, the NeuroAMI will outperform the NARXnet technique at the 60% and 80% input training data levels; however, the NARXnet technique fared better on the average at the 40% input training data level.

Anahtar Kelimeler

Blockchain, cryptocurrency price, machine learning, neural network, prediction

LEVERAGING ON CONTINUAL MACHINE LEARNING FOR REAL TIME TRADING IN FINANCIAL MARKETS

Öz

In this research paper, a novel neural inspired approach called the Auditory Machine Intelligence (AMI) is proposed for the prediction of cryptocurrency price - the ripple (XRP/USD) trading pair. The AMI is implemented as part of an LUNO API systems app and real-time data generated and captured. Comparisons were also made with a popular method used in cryptocurrency trading called the Non-linear Auto-Regressive Neural Network (NARX-net). The experimental results considering the 40%, 60% and 80% training were reported for the both techniques. From the experimental results, it was clearly seen that on the average, the NeuroAMI will outperform the NARXnet technique at the 60% and 80% input training data levels; however, the NARXnet technique fared better on the average at the 40% input training data level.

Anahtar Kelimeler

Blockchain, cryptocurrency price, machine learning, neural network, prediction

Kaynakça

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