  Reliable short term forecasting can provide potentially lifesaving insights
into logistical planning, and in particular, into the optimal allocation of
resources such as hospital staff and equipment. By reinterpreting COVID-19
daily cases in terms of candlesticks, we are able to apply some of the most
popular stock market technical indicators to obtain predictive power over the
course of the pandemics. By providing a quantitative assessment of MACD, RSI,
and candlestick analyses, we show their statistical significance in making
predictions for both stock market data and WHO COVID-19 data. In particular, we
show the utility of this novel approach by considering the identification of
the beginnings of subsequent waves of the pandemic. Finally, our new methods
are used to assess whether current health policies are impacting the growth in
new COVID-19 cases.
