66 lines
2.1 KiB
Go
66 lines
2.1 KiB
Go
|
package indicatorv2
|
||
|
|
||
|
import (
|
||
|
"math"
|
||
|
|
||
|
"git.qtrade.icu/lychiyu/bbgo/pkg/types"
|
||
|
)
|
||
|
|
||
|
// Refer: Commodity Channel Index
|
||
|
// Refer URL: http://www.andrewshamlet.net/2017/07/08/python-tutorial-cci
|
||
|
// with modification of ddof=0 to let standard deviation to be divided by N instead of N-1
|
||
|
//
|
||
|
// CCI = (Typical Price - n-period SMA of TP) / (Constant x Mean Deviation)
|
||
|
//
|
||
|
// Typical Price (TP) = (High + Low + Close)/3
|
||
|
//
|
||
|
// Constant = .015
|
||
|
//
|
||
|
// The Commodity Channel Index (CCI) is a technical analysis indicator that is used to identify potential overbought or oversold conditions
|
||
|
// in a security's price. It was originally developed for use in commodity markets, but can be applied to any security that has a sufficient
|
||
|
// amount of price data. The CCI is calculated by taking the difference between the security's typical price (the average of its high, low, and
|
||
|
// closing prices) and its moving average, and then dividing the result by the mean absolute deviation of the typical price. This resulting value
|
||
|
// is then plotted as a line on the price chart, with values above +100 indicating overbought conditions and values below -100 indicating
|
||
|
// oversold conditions. The CCI can be used by traders to identify potential entry and exit points for trades, or to confirm other technical
|
||
|
// analysis signals.
|
||
|
|
||
|
type CCIStream struct {
|
||
|
*types.Float64Series
|
||
|
|
||
|
TypicalPrice *types.Float64Series
|
||
|
|
||
|
source types.Float64Source
|
||
|
window int
|
||
|
}
|
||
|
|
||
|
func CCI(source types.Float64Source, window int) *CCIStream {
|
||
|
s := &CCIStream{
|
||
|
Float64Series: types.NewFloat64Series(),
|
||
|
TypicalPrice: types.NewFloat64Series(),
|
||
|
source: source,
|
||
|
window: window,
|
||
|
}
|
||
|
s.Bind(source, s)
|
||
|
return s
|
||
|
}
|
||
|
|
||
|
func (s *CCIStream) Calculate(value float64) float64 {
|
||
|
var tp = value
|
||
|
if s.TypicalPrice.Length() > 0 {
|
||
|
tp = s.TypicalPrice.Last(0) - s.source.Last(s.window) + value
|
||
|
}
|
||
|
|
||
|
s.TypicalPrice.Push(tp)
|
||
|
|
||
|
ma := tp / float64(s.window)
|
||
|
md := 0.
|
||
|
for i := 0; i < s.window; i++ {
|
||
|
diff := s.source.Last(i) - ma
|
||
|
md += diff * diff
|
||
|
}
|
||
|
|
||
|
md = math.Sqrt(md / float64(s.window))
|
||
|
cci := (value - ma) / (0.015 * md)
|
||
|
return cci
|
||
|
}
|