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Merge pull request #599 from zenixls2/feature/cci
feature: add cci indicator
This commit is contained in:
commit
54c946bac0
105
pkg/indicator/cci.go
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105
pkg/indicator/cci.go
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package indicator
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import (
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"math"
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"github.com/c9s/bbgo/pkg/fixedpoint"
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"github.com/c9s/bbgo/pkg/types"
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)
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// Refer: Commodity Channel Index
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// Refer URL: http://www.andrewshamlet.net/2017/07/08/python-tutorial-cci
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// with modification of ddof=0 to let standard deviation to be divided by N instead of N-1
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//go:generate callbackgen -type CCI
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type CCI struct {
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types.IntervalWindow
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Input types.Float64Slice
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TypicalPrice types.Float64Slice
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MA types.Float64Slice
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Values types.Float64Slice
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UpdateCallbacks []func(value float64)
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}
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func (inc *CCI) Update(value float64) {
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if len(inc.TypicalPrice) == 0 {
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inc.TypicalPrice.Push(value)
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inc.Input.Push(value)
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return
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} else if len(inc.TypicalPrice) > MaxNumOfEWMA {
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inc.TypicalPrice = inc.TypicalPrice[MaxNumOfEWMATruncateSize-1:]
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inc.Input = inc.Input[MaxNumOfEWMATruncateSize-1:]
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}
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inc.Input.Push(value)
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tp := inc.TypicalPrice.Last() - inc.Input.Index(inc.Window) + value
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inc.TypicalPrice.Push(tp)
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if len(inc.Input) < inc.Window {
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return
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}
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ma := tp / float64(inc.Window)
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inc.MA.Push(ma)
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if len(inc.MA) > MaxNumOfEWMA {
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inc.MA = inc.MA[MaxNumOfEWMATruncateSize-1:]
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}
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md := 0.
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for i := 0; i < inc.Window; i++ {
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diff := inc.Input.Index(i) - ma
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md += diff * diff
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}
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md = math.Sqrt(md / float64(inc.Window))
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cci := (value - ma) / (0.015 * md)
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inc.Values.Push(cci)
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if len(inc.Values) > MaxNumOfEWMA {
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inc.Values = inc.Values[MaxNumOfEWMATruncateSize-1:]
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}
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}
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func (inc *CCI) Last() float64 {
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if len(inc.Values) == 0 {
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return 0
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}
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return inc.Values[len(inc.Values)-1]
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}
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func (inc *CCI) Index(i int) float64 {
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if i >= len(inc.Values) {
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return 0
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}
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return inc.Values[len(inc.Values)-1-i]
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}
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func (inc *CCI) Length() int {
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return len(inc.Values)
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}
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var _ types.Series = &CCI{}
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var three = fixedpoint.NewFromInt(3)
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func (inc *CCI) calculateAndUpdate(allKLines []types.KLine) {
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if inc.TypicalPrice.Length() == 0 {
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for _, k := range allKLines {
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inc.Update(k.High.Add(k.Low).Add(k.Close).Div(three).Float64())
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inc.EmitUpdate(inc.Last())
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}
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} else {
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k := allKLines[len(allKLines)-1]
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inc.Update(k.High.Add(k.Low).Add(k.Close).Div(three).Float64())
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inc.EmitUpdate(inc.Last())
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}
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}
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func (inc *CCI) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) {
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if inc.Interval != interval {
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return
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}
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inc.calculateAndUpdate(window)
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}
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func (inc *CCI) Bind(updater KLineWindowUpdater) {
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updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate)
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}
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15
pkg/indicator/cci_callbacks.go
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15
pkg/indicator/cci_callbacks.go
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// Code generated by "callbackgen -type CCI"; DO NOT EDIT.
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package indicator
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import ()
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func (inc *CCI) OnUpdate(cb func(value float64)) {
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inc.UpdateCallbacks = append(inc.UpdateCallbacks, cb)
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}
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func (inc *CCI) EmitUpdate(value float64) {
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for _, cb := range inc.UpdateCallbacks {
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cb(value)
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}
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}
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37
pkg/indicator/cci_test.go
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37
pkg/indicator/cci_test.go
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package indicator
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import (
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"encoding/json"
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"testing"
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"github.com/c9s/bbgo/pkg/types"
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"github.com/stretchr/testify/assert"
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)
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/*
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python:
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import pandas as pd
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s = pd.Series([0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9])
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cci = pd.Series((s - s.rolling(16).mean()) / (0.015 * s.rolling(16).std(ddof=0)), name="CCI")
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print(cci)
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*/
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func Test_CCI(t *testing.T) {
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var randomPrices = []byte(`[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]`)
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var input []float64
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var Delta = 4.3e-2
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if err := json.Unmarshal(randomPrices, &input); err != nil {
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panic(err)
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}
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t.Run("random_case", func(t *testing.T) {
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cci := CCI{IntervalWindow: types.IntervalWindow{Window: 16}}
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for _, value := range input {
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cci.Update(value)
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}
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last := cci.Last()
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assert.InDelta(t, 93.250481, last, Delta)
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assert.InDelta(t, 81.813449, cci.Index(1), Delta)
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assert.Equal(t, 50-16+1, cci.Length())
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})
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}
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@ -127,7 +127,7 @@ func (a *Float64Slice) Last() float64 {
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func (a *Float64Slice) Index(i int) float64 {
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length := len(*a)
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if length-i < 0 || i < 0 {
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if length-i <= 0 || i < 0 {
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return 0.0
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}
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return (*a)[length-i-1]
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