Studies on a Property Oriented Pandemic Surviving Trading Model

Abstract

The world economy was hit hard by the COVID-19 pandemic. COVID-19, also known as the coronavirus, had a disastrous effect on the prices of commodities such as oil and gas, as well as foreign exchange (Forex) trading systems and currency pairs across nations, causing businesses to collapse and the economy to shut down. It was also accompanied by a significant loss of capital for stock and forex investors as a result of the failure of several stock and forex software systems and strategies that were built without taking into account the high volatility of market values induced by the coronavirus pandemic. This research focuses on examining and analysing the performance of some Forex systems during thepandemic. It analyses failed and successful systems throughout the pandemic period and suggests a pandemic surviving trading model to solve the problem of unforeseen disasters like the pandemic having an impact on trading systems. The system analyses the qualities and data of failed and successful systems, then incorporates the best features into the suggested model to create a model that is likely to survive any future pandemic. The findings reveal that systems constructed using the property-oriented pandemic surviving trading model generated significantly more profit during the pandemic than current systems.