January 24, 2018Journal of Fundamental and Applied SciencesOpen Access

Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators

View Full Paper

Ask AI

Bookmark

Abstract

This paper presents a Multi-Layer Exogeneous Inputs (NARX) Bitcoin price forecasting model using the opening, closing, minimum and maximum past prices together with Moving Average (MA) technical indicators.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Indera et al. (2018) studied this question.

synapsesocial.com/papers/6a1ffa94c1b320180d0dbb3d https://doi.org/10.4314/jfas.v9i3s.61

View Full Paper

Ask AI

Bookmark

Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators

Abstract

Discussion

Cite This Study

Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators

Abstract

Discussion

Cite This Study

Keep reading

Keep reading