predictions is challenging, noting that accuracy does not equate to reliability, especially when financial time-series forecasting … method for forecasting financial time series based on tactical input-output feature mapping techniques using machine learning …

stock-oriented solutions and disregarded general approaches on financial time series or skipped the dynamics of the system … to overcome the changing conditions of financial time series. A novel distance-based moving-average feature model can … produce an adaptive prediction approach for financial time series. To evaluate the impact of the novel proposed DBEMA features …