-
-
Notifications
You must be signed in to change notification settings - Fork 0
/
macd.go
115 lines (91 loc) · 3.07 KB
/
macd.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
package indicator
import (
"time"
"github.com/c9s/bbgo/pkg/datatype/floats"
"github.com/c9s/bbgo/pkg/types"
)
// macd implements moving average convergence divergence indicator
//
// Moving Average Convergence Divergence (MACD)
// - https://www.investopedia.com/terms/m/macd.asp
// - https://school.stockcharts.com/doku.php?id=technical_indicators:macd-histogram
// The Moving Average Convergence Divergence (MACD) is a technical analysis indicator that is used to measure the relationship between
// two moving averages of a security's price. It is calculated by subtracting the longer-term moving average from the shorter-term moving
// average, and then plotting the resulting value on the price chart as a line. This line is known as the MACD line, and is typically
// used to identify potential buy or sell signals. The MACD is typically used in conjunction with a signal line, which is a moving average
// of the MACD line, to generate more accurate buy and sell signals.
type MACDConfig struct {
types.IntervalWindow // 9
// ShortPeriod is the short term period EMA, usually 12
ShortPeriod int `json:"short"`
// LongPeriod is the long term period EMA, usually 26
LongPeriod int `json:"long"`
}
//go:generate callbackgen -type MACDLegacy
type MACDLegacy struct {
MACDConfig
Values floats.Slice `json:"-"`
fastEWMA, slowEWMA, signalLine *EWMA
Histogram floats.Slice `json:"-"`
updateCallbacks []func(macd, signal, histogram float64)
EndTime time.Time
}
func (inc *MACDLegacy) Update(x float64) {
if len(inc.Values) == 0 {
// apply default values
inc.fastEWMA = &EWMA{IntervalWindow: types.IntervalWindow{Window: inc.ShortPeriod}}
inc.slowEWMA = &EWMA{IntervalWindow: types.IntervalWindow{Window: inc.LongPeriod}}
inc.signalLine = &EWMA{IntervalWindow: types.IntervalWindow{Window: inc.Window}}
if inc.ShortPeriod == 0 {
inc.ShortPeriod = 12
}
if inc.LongPeriod == 0 {
inc.LongPeriod = 26
}
}
// update fast and slow ema
inc.fastEWMA.Update(x)
inc.slowEWMA.Update(x)
// update MACD value, it's also the signal line
fast := inc.fastEWMA.Last(0)
slow := inc.slowEWMA.Last(0)
macd := fast - slow
inc.Values.Push(macd)
// update signal line
inc.signalLine.Update(macd)
signal := inc.signalLine.Last(0)
// update histogram
histogram := macd - signal
inc.Histogram.Push(histogram)
inc.EmitUpdate(macd, signal, histogram)
}
func (inc *MACDLegacy) Last(i int) float64 {
return inc.Values.Last(i)
}
func (inc *MACDLegacy) Length() int {
return len(inc.Values)
}
func (inc *MACDLegacy) PushK(k types.KLine) {
inc.Update(k.Close.Float64())
}
func (inc *MACDLegacy) MACD() types.SeriesExtend {
out := &MACDValues{MACDLegacy: inc}
out.SeriesBase.Series = out
return out
}
func (inc *MACDLegacy) Singals() types.SeriesExtend {
return inc.signalLine
}
type MACDValues struct {
types.SeriesBase
*MACDLegacy
}
func (inc *MACDValues) Last(i int) float64 {
return inc.Values.Last(i)
}
func (inc *MACDValues) Index(i int) float64 {
return inc.Last(i)
}
func (inc *MACDValues) Length() int {
return len(inc.Values)
}