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https://github.com/c9s/bbgo.git
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Merge pull request #1229 from c9s/c9s/indicator-cci-v2
This commit is contained in:
commit
c54031b0e8
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@ -11,6 +11,12 @@ import (
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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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//
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// CCI = (Typical Price - n-period SMA of TP) / (Constant x Mean Deviation)
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//
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// Typical Price (TP) = (High + Low + Close)/3
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//
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// Constant = .015
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//
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// The Commodity Channel Index (CCI) is a technical analysis indicator that is used to identify potential overbought or oversold conditions
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// 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
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// 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
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@ -43,16 +49,18 @@ func (inc *CCI) Update(value float64) {
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}
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inc.Input.Push(value)
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tp := inc.TypicalPrice.Last(0) - inc.Input.Index(inc.Window) + value
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tp := inc.TypicalPrice.Last(0) - inc.Input.Last(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.Last(i) - ma
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@ -4,8 +4,9 @@ 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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"github.com/c9s/bbgo/pkg/types"
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)
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/*
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@ -19,7 +20,7 @@ print(cci)
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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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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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@ -30,8 +31,8 @@ func Test_CCI(t *testing.T) {
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}
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last := cci.Last(0)
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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.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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65
pkg/indicator/v2/cci.go
Normal file
65
pkg/indicator/v2/cci.go
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@ -0,0 +1,65 @@
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package indicatorv2
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import (
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"math"
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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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//
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// CCI = (Typical Price - n-period SMA of TP) / (Constant x Mean Deviation)
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//
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// Typical Price (TP) = (High + Low + Close)/3
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//
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// Constant = .015
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//
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// The Commodity Channel Index (CCI) is a technical analysis indicator that is used to identify potential overbought or oversold conditions
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// 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
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// 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
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// closing prices) and its moving average, and then dividing the result by the mean absolute deviation of the typical price. This resulting value
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// is then plotted as a line on the price chart, with values above +100 indicating overbought conditions and values below -100 indicating
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// oversold conditions. The CCI can be used by traders to identify potential entry and exit points for trades, or to confirm other technical
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// analysis signals.
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type CCIStream struct {
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*types.Float64Series
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TypicalPrice *types.Float64Series
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source types.Float64Source
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window int
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}
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func CCI(source types.Float64Source, window int) *CCIStream {
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s := &CCIStream{
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Float64Series: types.NewFloat64Series(),
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TypicalPrice: types.NewFloat64Series(),
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source: source,
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window: window,
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}
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s.Bind(source, s)
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return s
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}
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func (s *CCIStream) Calculate(value float64) float64 {
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var tp = value
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if s.TypicalPrice.Length() > 0 {
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tp = s.TypicalPrice.Last(0) - s.source.Last(s.window) + value
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}
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s.TypicalPrice.Push(tp)
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ma := tp / float64(s.window)
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md := 0.
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for i := 0; i < s.window; i++ {
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diff := s.source.Last(i) - ma
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md += diff * diff
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}
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md = math.Sqrt(md / float64(s.window))
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cci := (value - ma) / (0.015 * md)
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return cci
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}
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39
pkg/indicator/v2/cci_test.go
Normal file
39
pkg/indicator/v2/cci_test.go
Normal file
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@ -0,0 +1,39 @@
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package indicatorv2
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import (
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"encoding/json"
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"testing"
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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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price := Price(nil, nil)
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cci := CCI(price, 16)
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for _, value := range input {
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price.PushAndEmit(value)
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}
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t.Logf("cci: %+v", cci.Slice)
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last := cci.Last(0)
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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, cci.Length(), "length")
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})
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}
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5
pkg/indicator/v2/const.go
Normal file
5
pkg/indicator/v2/const.go
Normal file
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@ -0,0 +1,5 @@
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package indicatorv2
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import "github.com/c9s/bbgo/pkg/fixedpoint"
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var three = fixedpoint.NewFromInt(3)
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@ -65,3 +65,7 @@ func OpenPrices(source KLineSubscription) *PriceStream {
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func Volumes(source KLineSubscription) *PriceStream {
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return Price(source, types.KLineVolumeMapper)
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}
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func HLC3(source KLineSubscription) *PriceStream {
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return Price(source, types.KLineHLC3Mapper)
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}
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@ -47,8 +47,8 @@ func Stoch(source KLineSubscription, window, dPeriod int) *StochStream {
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lowest := s.lowPrices.Slice.Tail(s.window).Min()
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highest := s.highPrices.Slice.Tail(s.window).Max()
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var k float64 = 50.0
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var d float64 = 0.0
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var k = 50.0
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var d = 0.0
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if highest != lowest {
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k = 100.0 * (kLine.Close.Float64() - lowest) / (highest - lowest)
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@ -3,24 +3,20 @@
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package tri
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import (
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"context"
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"fmt"
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"testing"
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"github.com/stretchr/testify/assert"
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"github.com/c9s/bbgo/pkg/cache"
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"github.com/c9s/bbgo/pkg/exchange/binance"
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"github.com/c9s/bbgo/pkg/fixedpoint"
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"github.com/c9s/bbgo/pkg/types"
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"github.com/c9s/bbgo/pkg/util"
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)
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var markets = make(types.MarketMap)
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func init() {
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var err error
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markets, err = cache.LoadExchangeMarketsWithCache(context.Background(), &binance.Exchange{})
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if err != nil {
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if err := util.ReadJsonFile("../../../testdata/binance-markets.json", &markets); err != nil {
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panic(err)
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}
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}
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@ -10,14 +10,15 @@ import (
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"github.com/c9s/bbgo/pkg/style"
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)
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var Two = fixedpoint.NewFromInt(2)
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var Three = fixedpoint.NewFromInt(3)
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type Direction int
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const DirectionUp = 1
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const DirectionNone = 0
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const DirectionDown = -1
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var Two = fixedpoint.NewFromInt(2)
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type KLineOrWindow interface {
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GetInterval() string
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Direction() Direction
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@ -668,6 +669,10 @@ func KLineVolumeMapper(k KLine) float64 {
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return k.Volume.Float64()
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}
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func KLineHLC3Mapper(k KLine) float64 {
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return k.High.Add(k.Low).Add(k.Close).Div(Three).Float64()
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}
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func MapKLinePrice(kLines []KLine, f KLineValueMapper) (prices []float64) {
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for _, k := range kLines {
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prices = append(prices, f(k))
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@ -29,6 +29,10 @@ func (f *Float64Series) Length() int {
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return len(f.Slice)
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}
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func (f *Float64Series) Push(x float64) {
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f.Slice.Push(x)
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}
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func (f *Float64Series) PushAndEmit(x float64) {
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f.Slice.Push(x)
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f.EmitUpdate(x)
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@ -2,7 +2,9 @@ package util
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import (
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"encoding/json"
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"io"
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"io/ioutil"
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"os"
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)
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func WriteJsonFile(p string, obj interface{}) error {
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@ -13,3 +15,24 @@ func WriteJsonFile(p string, obj interface{}) error {
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return ioutil.WriteFile(p, out, 0644)
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}
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func ReadJsonFile(file string, obj interface{}) error {
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f, err := os.Open(file)
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if err != nil {
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return err
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}
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defer f.Close()
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byteResult, err := io.ReadAll(f)
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if err != nil {
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return err
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}
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err = json.Unmarshal([]byte(byteResult), obj)
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if err != nil {
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return err
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}
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return nil
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}
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82
testdata/binance-markets.json
vendored
Normal file
82
testdata/binance-markets.json
vendored
Normal file
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@ -0,0 +1,82 @@
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{
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"ETHUSDT": {
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"symbol": "ETHUSDT",
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"localSymbol": "ETHUSDT",
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"pricePrecision": 8,
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"volumePrecision": 8,
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"quoteCurrency": "USDT",
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"baseCurrency": "ETH",
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"minNotional": 10,
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"minAmount": 10,
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"minQuantity": 0.0001,
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"maxQuantity": 9000,
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"stepSize": 0.0001,
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"minPrice": 0.01,
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"maxPrice": 1000000,
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"tickSize": 0.01
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},
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"BTCUSDT": {
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"symbol": "BTCUSDT",
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"localSymbol": "BTCUSDT",
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"pricePrecision": 8,
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"volumePrecision": 8,
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"quoteCurrency": "USDT",
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"baseCurrency": "BTC",
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"minNotional": 10,
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"minAmount": 10,
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"minQuantity": 1e-05,
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"maxQuantity": 9000,
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"stepSize": 1e-05,
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"minPrice": 0.01,
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"maxPrice": 1000000,
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"tickSize": 0.01
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},
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"LINKUSDT": {
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"symbol": "LINKUSDT",
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"localSymbol": "LINKUSDT",
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"pricePrecision": 8,
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"volumePrecision": 8,
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"quoteCurrency": "USDT",
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"baseCurrency": "LINK",
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"minNotional": 5,
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"minAmount": 5,
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"minQuantity": 0.01,
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"maxQuantity": 90000,
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"stepSize": 0.01,
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"minPrice": 0.001,
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"maxPrice": 10000,
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"tickSize": 0.001
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},
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"LTCUSDT": {
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"symbol": "LTCUSDT",
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"localSymbol": "LTCUSDT",
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"pricePrecision": 8,
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"volumePrecision": 8,
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"quoteCurrency": "USDT",
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"baseCurrency": "LTC",
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"minNotional": 5,
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"minAmount": 5,
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"minQuantity": 0.001,
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"maxQuantity": 90000,
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"stepSize": 0.001,
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"minPrice": 0.01,
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"maxPrice": 100000,
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"tickSize": 0.01
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},
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"ETHBTC": {
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"symbol": "ETHBTC",
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"localSymbol": "ETHBTC",
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"pricePrecision": 8,
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"volumePrecision": 8,
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"quoteCurrency": "BTC",
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"baseCurrency": "ETH",
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"minNotional": 0.0001,
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"minAmount": 0.0001,
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"minQuantity": 0.0001,
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"maxQuantity": 100000,
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"stepSize": 0.0001,
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"minPrice": 1e-05,
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"maxPrice": 922327,
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"tickSize": 1e-05
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}
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}
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Block a user