Abstract Background When you make a forex transaction, sell one currency and buy another. If the increases against sell, profit, do this through broker as retail trader on internet using platform known meta trader. Only 2% of traders can successfully predict movement in market, making it most challenging tasks. Machine learning its derivatives or hybrid models are becoming increasingly popular ...

The COVID-19 outbreak was a rare and unprecedented phenomenon. Hence, the pandemic forces world economy to react unpredictably. Governments worldwide have undertaken several precautions, including social distance measures, public awareness programs, policies on testing quarantine, financial aid packages. Using endogenous growth theory, this paper examines impact of towards Malaysia key economic...

In this paper we describe an infrastructure for implementing hybrid intelligent agents with the ability to trade in the Forex Market without requiring human supervision. This infrastructure is composed of three modules. The “Intuition Module”, implemented using an Ensemble Model, is responsible for performing pattern recognition and predicting the direction of the exchange rate. The “A Posterio...

This study evaluates the behaviour of forex market during first and second wave COVID-19. We have analysed exchange rates CNY, JPY, CHF, GBP in response to daily cases COVID-19 deaths, using Continuous Wavelet Transform Coherence. The results show that has been more aggressive. relationship new deaths significant negative with currencies are considered safe havens severely affected by wave.