1 publication
-
Published Subscription
Energy-Efficient Neuromorphic Spiking Neural Networksfor Real-Time Event-Driven Stock Market Prediction: A Systematic ReviewBy Gungun Verma, Arpit Kumar, Raina Singh, Arbaz, Himashu Joshi
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 →