Neuromorphic Computing, Stock Market Prediction, Spiking Neural Networks, LIF Neurons, STDP, Surrogate gradient learning, Energy-efficient AI, Event-driven processing, Intel Loihi, Financial Time Seri
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Energy-Efficient Neuromorphic Spiking Neural Networksfor Real-Time Event-Driven Stock Market Prediction: A Systematic Review
Abstract: I believe that neuromorphic computing and financial prediction is now a genuinely exciting, yet under-researched, area of applied machine learning study. The paper presents a systematic literature review of the literature based on energy efficient Spiking Neural Networks (SNNs) in forecasting events-based real-time stock market data. Event based in character Financial time-series data is not continuous in nature, but consists of major discrete events like significant price changes, volume surges, …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 2, 2026 Read article