Estimation of the Forecast Variability:
Bollinger Bands.
Bollinger Bands is a tool of technical analysis invented by Bollinger at the beginning of the 80s of the 20th century [45].
It can be known from the descriptive statistics and analysis above that Stochastic Oscillator has the highest average return rate, followed by
Bollinger Bands and RSI, and OBV has the relatively poor performance.
Section 2 briefly describes related work on resource allocation, SLA, fault tolerance, moving average, and
Bollinger Bands in cloud computing.
Bollinger bands are used as a tool for both confirming momentum or a reversion towards the mean
All three solutions will deal with the same methods of trading decision making that are based on the technical analysis indicators, such as moving averages,
Bollinger bands, oscillators, or breakouts.
Chartable technical analysis tools will include:
Bollinger Bands. Commodity Channel Index, Directional Movement Index, Displaced Moving Avg., Envelope, Exponential Moving Avg., High/Low Moving Avg., Highest High/Lowest Low, Historic Volatility, Least Squares Linear Reg., Line Oscillator.
discussed in [1] the
Bollinger bands for the Black-Scholes model.
Furthermore,
Bollinger bands are widening and the 50-day simple moving average remains ascending.