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

Leveragıng On Contınual Machıne Learnıng For Real Tıme Tradıng In Fınancıal 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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9. Osegi, E. N. (2023). Neuronal Auditory Machine Intelligence (Neuro-AMI) In Perspective. http://dx.doi.org/10.13140/RG.2.2.10131.45605.
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