In late February, due to the coronavirus pandemic spread out, the stock market started crashing. Before March, the Coronavirus in the US did not spread out as fast as in other countries. After the COVID Spread global, lots of countries were locked down. National and Global-wide lockdown situations would affect the stock market. Asian countries got COVID pandemic before America. We can use the Asian country's pandemic situation to predict what will happen in the US. The research supposes to earn money during the pandemic period, and provided to other investors in the stock market. The authors create the new exchange index by using Z-Standardization. The reason for using Z-Standardization is to make it easy to compare indexes, and also it can eliminate the bias data. After the Z-Standardization, the authors got one new Z score value, which is Z-Exchange Index. Authors compared Stock Sell Price with Stock Bought price and the exchange threshold should be greater than 15. After it, the authors focused on distinguishing the outliers (the decisions of trading & exchanging). The reason for building Cash-Stock Balance Ratio should be eliminating the Human Factor in the complicated Trading section. Besides, helping investors manage how many parts should be cash and stock. We established the automatic trade triggering system, which will buy more stock immediately when the Cash-Stock Balance Ratio reaches a critical point. The Exchange Bid Ratio, which helps to reduce the cash level and determine the transaction.
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