mirror of
https://github.com/c9s/bbgo.git
synced 2024-11-22 06:53:52 +00:00
indicator: add v2 stochastic oscillator
This commit is contained in:
parent
1535572b43
commit
4f07a44b61
61
pkg/indicator/v2_stoch.go
Normal file
61
pkg/indicator/v2_stoch.go
Normal file
|
@ -0,0 +1,61 @@
|
|||
package indicator
|
||||
|
||||
import (
|
||||
"github.com/c9s/bbgo/pkg/datatype/floats"
|
||||
"github.com/c9s/bbgo/pkg/types"
|
||||
)
|
||||
|
||||
// Stochastic Oscillator
|
||||
// - https://www.investopedia.com/terms/s/stochasticoscillator.asp
|
||||
//
|
||||
// The Stochastic Oscillator is a technical analysis indicator that is used to identify potential overbought or oversold conditions
|
||||
// in a security's price. It is calculated by taking the current closing price of the security and comparing it to the high and low prices
|
||||
// over a specified period of time. This comparison is then plotted as a line on the price chart, with values above 80 indicating overbought
|
||||
// conditions and values below 20 indicating oversold conditions. The Stochastic Oscillator can be used by traders to identify potential
|
||||
// entry and exit points for trades, or to confirm other technical analysis signals. It is typically used in conjunction with other indicators
|
||||
// to provide a more comprehensive view of the security's price.
|
||||
|
||||
//go:generate callbackgen -type StochStream
|
||||
type StochStream struct {
|
||||
types.SeriesBase
|
||||
|
||||
K, D floats.Slice
|
||||
|
||||
window int
|
||||
dPeriod int
|
||||
|
||||
highPrices, lowPrices *PriceStream
|
||||
|
||||
updateCallbacks []func(k, d float64)
|
||||
}
|
||||
|
||||
// Stochastic Oscillator
|
||||
func Stoch2(source KLineSubscription, window, dPeriod int) *StochStream {
|
||||
highPrices := HighPrices(source)
|
||||
lowPrices := LowPrices(source)
|
||||
|
||||
s := &StochStream{
|
||||
window: window,
|
||||
dPeriod: dPeriod,
|
||||
highPrices: highPrices,
|
||||
lowPrices: lowPrices,
|
||||
}
|
||||
|
||||
source.AddSubscriber(func(kLine types.KLine) {
|
||||
lowest := s.lowPrices.slice.Tail(s.window).Min()
|
||||
highest := s.highPrices.slice.Tail(s.window).Max()
|
||||
|
||||
var k float64 = 50.0
|
||||
var d float64 = 0.0
|
||||
|
||||
if highest != lowest {
|
||||
k = 100.0 * (kLine.Close.Float64() - lowest) / (highest - lowest)
|
||||
}
|
||||
|
||||
d = s.K.Tail(s.dPeriod).Mean()
|
||||
s.K.Push(k)
|
||||
s.D.Push(d)
|
||||
s.EmitUpdate(k, d)
|
||||
})
|
||||
return s
|
||||
}
|
Loading…
Reference in New Issue
Block a user