diff --git a/pkg/indicator/ghfilter.go b/pkg/indicator/ghfilter.go new file mode 100644 index 000000000..97db2fbd6 --- /dev/null +++ b/pkg/indicator/ghfilter.go @@ -0,0 +1,96 @@ +package indicator + +import ( + "github.com/c9s/bbgo/pkg/datatype/floats" + "github.com/c9s/bbgo/pkg/types" + "math" +) + +// Refer: https://jamesgoulding.com/Research_II/Ehlers/Ehlers%20(Optimal%20Tracking%20Filters).doc +// Ehler's Optimal Tracking Filter, an alpha-beta filter, also called g-h filter + +//go:generate callbackgen -type GHFilter +type GHFilter struct { + types.SeriesBase + types.IntervalWindow + a float64 // maneuverability uncertainty + b float64 // measurement uncertainty + lastMeasurement float64 + Values floats.Slice + + UpdateCallbacks []func(value float64) +} + +func (inc *GHFilter) Update(value float64) { + inc.update(value, math.Abs(value-inc.lastMeasurement)) +} + +func (inc *GHFilter) update(value, uncertainty float64) { + if len(inc.Values) == 0 { + inc.a = 0 + inc.b = uncertainty / 2 + inc.lastMeasurement = value + inc.Values.Push(value) + return + } + multiplier := 2.0 / float64(1+inc.Window) // EMA multiplier + inc.a = multiplier*(value-inc.lastMeasurement) + (1-multiplier)*inc.a + inc.b = multiplier*uncertainty/2 + (1-multiplier)*inc.b + lambda := inc.a / inc.b + lambda2 := lambda * lambda + alpha := (-lambda2 + math.Sqrt(lambda2*lambda2+16*lambda2)) / 8 + filtered := alpha*value + (1-alpha)*inc.Values.Last() + inc.Values.Push(filtered) + inc.lastMeasurement = value +} + +func (inc *GHFilter) Index(i int) float64 { + if inc.Values == nil { + return 0.0 + } + return inc.Values.Index(i) +} + +func (inc *GHFilter) Length() int { + if inc.Values == nil { + return 0 + } + return inc.Values.Length() +} + +func (inc *GHFilter) Last() float64 { + if inc.Values == nil { + return 0.0 + } + return inc.Values.Last() +} + +var _ types.SeriesExtend = &GHFilter{} + +func (inc *GHFilter) PushK(k types.KLine) { + inc.update(k.Close.Float64(), k.High.Float64()-k.Low.Float64()) +} + +func (inc *GHFilter) CalculateAndUpdate(allKLines []types.KLine) { + if inc.Values != nil { + k := allKLines[len(allKLines)-1] + inc.PushK(k) + inc.EmitUpdate(inc.Last()) + return + } + for _, k := range allKLines { + inc.PushK(k) + inc.EmitUpdate(inc.Last()) + } +} + +func (inc *GHFilter) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) { + if inc.Interval != interval { + return + } + inc.CalculateAndUpdate(window) +} + +func (inc *GHFilter) Bind(updater KLineWindowUpdater) { + updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate) +} diff --git a/pkg/indicator/ghfilter_callbacks.go b/pkg/indicator/ghfilter_callbacks.go new file mode 100644 index 000000000..345355a4e --- /dev/null +++ b/pkg/indicator/ghfilter_callbacks.go @@ -0,0 +1,15 @@ +// Code generated by "callbackgen -type GHFilter"; DO NOT EDIT. + +package indicator + +import () + +func (inc *GHFilter) OnUpdate(cb func(value float64)) { + inc.UpdateCallbacks = append(inc.UpdateCallbacks, cb) +} + +func (inc *GHFilter) EmitUpdate(value float64) { + for _, cb := range inc.UpdateCallbacks { + cb(value) + } +} diff --git a/pkg/indicator/ghfilter_test.go b/pkg/indicator/ghfilter_test.go new file mode 100644 index 000000000..ac7439933 --- /dev/null +++ b/pkg/indicator/ghfilter_test.go @@ -0,0 +1,6151 @@ +package indicator + +import ( + "encoding/json" + "math" + "testing" + + "github.com/c9s/bbgo/pkg/types" +) + +// generated from Binance 2022/07/27 00:00 +// https://www.binance.com/api/v3/klines?symbol=ETHUSDT&interval=5m&endTime=1658851200000&limit=1000 +var testGHFilterDataEthusdt5m = []byte(`[ + { + "open": 1591.11, + "high": 1593.62, + "low": 1589.04, + "close": 1590.14 + }, + { + "open": 1590.14, + "high": 1596.51, + "low": 1590.13, + "close": 1592.06 + }, + { + "open": 1592.07, + "high": 1594.41, + "low": 1586.05, + "close": 1587.02 + }, + { + "open": 1587.02, + "high": 1588.38, + "low": 1583.86, + "close": 1585.33 + }, + { + "open": 1585.34, + "high": 1595.2, + "low": 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1419.5, + "high": 1421.79, + "low": 1417.87, + "close": 1420.19 + }, + { + "open": 1420.19, + "high": 1423.7, + "low": 1413.12, + "close": 1422.48 + }, + { + "open": 1422.49, + "high": 1423.28, + "low": 1421.01, + "close": 1422.19 + }, + { + "open": 1422.19, + "high": 1423.55, + "low": 1421.32, + "close": 1423.15 + }, + { + "open": 1423.15, + "high": 1423.67, + "low": 1421.4, + "close": 1421.76 + }, + { + "open": 1421.77, + "high": 1421.77, + "low": 1419.22, + "close": 1420.17 + }, + { + "open": 1420.18, + "high": 1421.76, + "low": 1416.74, + "close": 1417.99 + }, + { + "open": 1418, + "high": 1418.82, + "low": 1414.58, + "close": 1415.97 + }, + { + "open": 1415.97, + "high": 1417.49, + "low": 1409.57, + "close": 1412.33 + }, + { + "open": 1412.29, + "high": 1414.74, + "low": 1406.68, + "close": 1409.46 + }, + { + "open": 1409.46, + "high": 1410.48, + "low": 1406.23, + "close": 1406.35 + }, + { + "open": 1406.36, + "high": 1413.17, + "low": 1406.34, + "close": 1408.12 + }, + { + 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"high": 1419.44, + "low": 1415.01, + "close": 1415.47 + }, + { + "open": 1415.47, + "high": 1417.15, + "low": 1413.71, + "close": 1414.16 + }, + { + "open": 1414.15, + "high": 1416.22, + "low": 1413.37, + "close": 1414.09 + }, + { + "open": 1414.1, + "high": 1416.01, + "low": 1413, + "close": 1415.83 + }, + { + "open": 1415.84, + "high": 1418.37, + "low": 1413.65, + "close": 1414.5 + }, + { + "open": 1414.46, + "high": 1414.96, + "low": 1408.49, + "close": 1411.92 + }, + { + "open": 1411.92, + "high": 1412.58, + "low": 1409.72, + "close": 1412.57 + }, + { + "open": 1412.57, + "high": 1413.05, + "low": 1411.23, + "close": 1411.32 + }, + { + "open": 1411.32, + "high": 1412.81, + "low": 1408.13, + "close": 1409.79 + }, + { + "open": 1409.79, + "high": 1412.35, + "low": 1409.34, + "close": 1410.44 + }, + { + "open": 1410.43, + "high": 1412.92, + "low": 1408.61, + "close": 1412.09 + }, + { + "open": 1412.1, + "high": 1412.84, + "low": 1410.56, + "close": 1410.57 + }, + { + "open": 1410.56, + "high": 1411.32, + "low": 1409.19, + "close": 1409.59 + }, + { + "open": 1409.6, + "high": 1412.09, + "low": 1407.68, + "close": 1410.42 + }, + { + "open": 1410.43, + "high": 1414.86, + "low": 1409.94, + "close": 1414.1 + }, + { + "open": 1414.11, + "high": 1414.47, + "low": 1412.17, + "close": 1412.65 + }, + { + "open": 1412.66, + "high": 1413.85, + "low": 1411.93, + "close": 1413.43 + }, + { + "open": 1413.44, + "high": 1415.79, + "low": 1412.99, + "close": 1413.51 + }, + { + "open": 1413.52, + "high": 1414.6, + "low": 1410.26, + "close": 1410.34 + }, + { + "open": 1410.33, + "high": 1413.83, + "low": 1410.33, + "close": 1413.39 + }, + { + "open": 1413.38, + "high": 1414.82, + "low": 1406.46, + "close": 1407.52 + }, + { + "open": 1407.52, + "high": 1413.46, + "low": 1385.08, + "close": 1406.33 + }, + { + "open": 1406.33, + "high": 1406.42, + "low": 1396.54, + "close": 1403.7 + }, + { + "open": 1403.69, + "high": 1413.95, + "low": 1403.69, + "close": 1411.91 + }, + { + "open": 1411.92, + "high": 1420.39, + "low": 1411.91, + "close": 1414.33 + }, + { + "open": 1414.34, + "high": 1414.52, + "low": 1405.66, + "close": 1405.79 + }, + { + "open": 1405.8, + "high": 1409.11, + "low": 1399, + "close": 1399.24 + }, + { + "open": 1399.23, + "high": 1405.73, + "low": 1399.23, + "close": 1400.56 + }, + { + "open": 1400.55, + "high": 1402, + "low": 1396.96, + "close": 1400.96 + }, + { + "open": 1400.96, + "high": 1401.35, + "low": 1390.31, + "close": 1394.24 + }, + { + "open": 1394.24, + "high": 1395.43, + "low": 1387.54, + "close": 1389.76 + }, + { + "open": 1389.87, + "high": 1390.95, + "low": 1381.54, + "close": 1384.88 + }, + { + "open": 1384.87, + "high": 1388.96, + "low": 1383.78, + "close": 1388.13 + }, + { + "open": 1388.13, + "high": 1393.11, + "low": 1387.84, + "close": 1391.98 + }, + { + "open": 1391.99, + "high": 1393.4, + "low": 1387.03, + "close": 1391.28 + }, + { + "open": 1391.38, + "high": 1391.68, + "low": 1384.04, + "close": 1384.51 + }, + { + "open": 1384.52, + "high": 1387.12, + "low": 1369.29, + "close": 1377.99 + }, + { + "open": 1377.99, + "high": 1384.82, + "low": 1371, + "close": 1383.01 + }, + { + "open": 1383.01, + "high": 1388, + "low": 1381.75, + "close": 1383.05 + }, + { + "open": 1383.06, + "high": 1388.47, + "low": 1383.05, + "close": 1387.82 + }, + { + "open": 1387.82, + "high": 1390, + "low": 1382.78, + "close": 1388.01 + }, + { + "open": 1388, + "high": 1392.96, + "low": 1386.5, + "close": 1391.27 + }, + { + "open": 1391.2, + "high": 1392.61, + "low": 1387.5, + "close": 1389.07 + }, + { + "open": 1389.07, + "high": 1389.07, + "low": 1382.39, + "close": 1385.3 + }, + { + "open": 1385.3, + "high": 1392, + "low": 1384.63, + "close": 1387.41 + }, + { + "open": 1387.41, + "high": 1390.71, + "low": 1386.5, + "close": 1389.12 + }, + { + "open": 1389.11, + "high": 1392.6, + "low": 1382.5, + "close": 1391.93 + }, + { + "open": 1391.93, + "high": 1396.92, + "low": 1390.04, + "close": 1391.11 + }, + { + "open": 1391.11, + "high": 1394.3, + "low": 1383.57, + "close": 1385.3 + }, + { + "open": 1385.31, + "high": 1386.85, + "low": 1379.45, + "close": 1382.74 + }, + { + "open": 1382.74, + "high": 1384.96, + "low": 1379.24, + "close": 1382.24 + }, + { + "open": 1382.24, + "high": 1384.6, + "low": 1380.2, + "close": 1380.79 + }, + { + "open": 1380.78, + "high": 1382.77, + "low": 1376, + "close": 1381.3 + }, + { + "open": 1381.29, + "high": 1384.6, + "low": 1379.59, + "close": 1382.74 + }, + { + "open": 1382.75, + "high": 1385.95, + "low": 1381.72, + "close": 1384.68 + }, + { + "open": 1384.67, + "high": 1392.47, + "low": 1384.26, + "close": 1389.48 + }, + { + "open": 1389.49, + "high": 1392, + "low": 1388.82, + "close": 1390.13 + }, + { + "open": 1390.13, + "high": 1392.46, + "low": 1389.7, + "close": 1391.94 + }, + { + "open": 1391.94, + "high": 1393.95, + "low": 1388.32, + "close": 1388.68 + }, + { + "open": 1388.68, + "high": 1389.35, + "low": 1379.59, + "close": 1381.72 + }, + { + "open": 1381.71, + "high": 1384.78, + "low": 1379.64, + "close": 1384.68 + }, + { + "open": 1384.67, + "high": 1384.92, + "low": 1381.13, + "close": 1383.07 + }, + { + "open": 1383.07, + "high": 1383.24, + "low": 1375.5, + "close": 1375.74 + }, + { + "open": 1375.73, + "high": 1378.38, + "low": 1372.01, + "close": 1374.42 + }, + { + "open": 1374.42, + "high": 1377.99, + "low": 1366, + "close": 1377.51 + }, + { + "open": 1377.51, + "high": 1378.73, + "low": 1372.87, + "close": 1375.18 + }, + { + "open": 1375.18, + "high": 1378.38, + "low": 1371.96, + "close": 1376.76 + }, + { + "open": 1376.77, + "high": 1377.59, + "low": 1370.81, + "close": 1370.95 + }, + { + "open": 1370.95, + "high": 1374.62, + "low": 1363.87, + "close": 1367.88 + }, + { + "open": 1367.88, + "high": 1372, + "low": 1365.03, + "close": 1368.68 + }, + { + "open": 1368.67, + "high": 1373.02, + "low": 1367, + "close": 1370.9 + } +]`) + +func Test_GHFilter(t *testing.T) { + type args struct { + allKLines []types.KLine + window int + } + var klines []types.KLine + if err := json.Unmarshal(testGHFilterDataEthusdt5m, &klines); err != nil { + panic(err) + } + tests := []struct { + name string + args args + want float64 + }{ + { + name: "ETHUSDT G-H Filter 7", + args: args{ + allKLines: klines, + window: 7, + }, + want: 1373.71, + }, + { + name: "ETHUSDT G-H Filter 25", + args: args{ + allKLines: klines, + window: 25, + }, + want: 1376.21, + }, + { + name: "ETHUSDT G-H Filter 99", + args: args{ + allKLines: klines, + window: 99, + }, + want: 1378.96, + }, + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + filter := &GHFilter{IntervalWindow: types.IntervalWindow{Window: tt.args.window}} + for _, k := range klines { + filter.PushK(k) + } + got := filter.Last() + got = math.Trunc(got*100.0) / 100.0 + if got != tt.want { + t.Errorf("GHFilter.Last() = %v, want %v", got, tt.want) + } + }) + } +} + +func Test_GHFilterEstimationAccurate(t *testing.T) { + type args struct { + allKLines []types.KLine + priceF KLineValueMapper + window int + } + var klines []types.KLine + if err := json.Unmarshal(testGHFilterDataEthusdt5m, &klines); err != nil { + panic(err) + } + tests := []struct { + name string + args args + want float64 + }{ + { + name: "ETHUSDT G-H Filter square error 7", + args: args{ + allKLines: klines, + window: 7, + }, + }, + { + name: "ETHUSDT G-H Filter square error 25", + args: args{ + allKLines: klines, + window: 25, + }, + }, + { + name: "ETHUSDT G-H Filter square error 99", + args: args{ + allKLines: klines, + window: 99, + }, + }, + } + klineSquareError := func(base float64, k types.KLine) float64 { + openDiff := math.Abs(k.Open.Float64() - base) + highDiff := math.Abs(k.High.Float64() - base) + lowDiff := math.Abs(k.Low.Float64() - base) + closeDiff := math.Abs(k.Close.Float64() - base) + return openDiff*openDiff + highDiff*highDiff + lowDiff*lowDiff + closeDiff*closeDiff + } + closeSquareError := func(base float64, k types.KLine) float64 { + closeDiff := math.Abs(k.Close.Float64() - base) + return closeDiff * closeDiff + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + filter := &GHFilter{IntervalWindow: types.IntervalWindow{Window: tt.args.window}} + ewma := &EWMA{IntervalWindow: types.IntervalWindow{Window: tt.args.window}} + + var filterDiff2Sum, ewmaDiff2Sum float64 + var filterCloseDiff2Sum, ewmaCloseDiff2Sum float64 + for i, k := range klines { + // square error between last estimated state and current actual state + if i > 0 { + filterDiff2Sum += klineSquareError(filter.Last(), k) + ewmaDiff2Sum += klineSquareError(ewma.Last(), k) + filterCloseDiff2Sum += closeSquareError(filter.Last(), k) + ewmaCloseDiff2Sum += closeSquareError(ewma.Last(), k) + } + + // update estimations + filter.PushK(k) + ewma.PushK(k) + } + numEstimations := len(klines) - 1 + filterSquareErr := math.Sqrt(filterDiff2Sum / float64(numEstimations*4)) + ewmaSquareErr := math.Sqrt(ewmaDiff2Sum / float64(numEstimations*4)) + if filterSquareErr > ewmaSquareErr { + t.Errorf("filter K-Line square error %f > EWMA K-Line square error %v", filterSquareErr, ewmaSquareErr) + } + filterCloseSquareErr := math.Sqrt(filterCloseDiff2Sum / float64(numEstimations)) + ewmaCloseSquareErr := math.Sqrt(ewmaCloseDiff2Sum / float64(numEstimations)) + if filterCloseSquareErr > ewmaCloseSquareErr { + t.Errorf("filter close price square error %f > EWMA close price square error %v", filterCloseSquareErr, ewmaCloseSquareErr) + } + }) + } +} diff --git a/pkg/indicator/kalmanfilter.go b/pkg/indicator/kalmanfilter.go new file mode 100644 index 000000000..c49f22388 --- /dev/null +++ b/pkg/indicator/kalmanfilter.go @@ -0,0 +1,108 @@ +package indicator + +import ( + "github.com/c9s/bbgo/pkg/datatype/floats" + "github.com/c9s/bbgo/pkg/types" + "math" +) + +// Refer: https://www.kalmanfilter.net/kalman1d.html +// One-dimensional Kalman filter + +//go:generate callbackgen -type KalmanFilter +type KalmanFilter struct { + types.SeriesBase + types.IntervalWindow + AdditionalSmoothWindow uint + amp2 *types.Queue // measurement uncertainty + k float64 // Kalman gain + measurements *types.Queue + Values floats.Slice + + UpdateCallbacks []func(value float64) +} + +func (inc *KalmanFilter) Update(value float64) { + var measureMove = value + if inc.measurements != nil { + measureMove = value - inc.measurements.Last() + } + inc.update(value, math.Abs(measureMove)) +} + +func (inc *KalmanFilter) update(value, amp float64) { + if len(inc.Values) == 0 { + inc.amp2 = types.NewQueue(inc.Window) + inc.amp2.Update(amp * amp) + inc.measurements = types.NewQueue(inc.Window) + inc.measurements.Update(value) + inc.Values.Push(value) + return + } + + // measurement + inc.measurements.Update(value) + inc.amp2.Update(amp * amp) + q := math.Sqrt(types.Mean(inc.amp2)) * float64(1+inc.AdditionalSmoothWindow) + + // update + lastPredict := inc.Values.Last() + curState := value + (value - lastPredict) + estimated := lastPredict + inc.k*(curState-lastPredict) + + // predict + inc.Values.Push(estimated) + p := math.Abs(curState - estimated) + inc.k = p / (p + q) +} + +func (inc *KalmanFilter) Index(i int) float64 { + if inc.Values == nil { + return 0.0 + } + return inc.Values.Index(i) +} + +func (inc *KalmanFilter) Length() int { + if inc.Values == nil { + return 0 + } + return inc.Values.Length() +} + +func (inc *KalmanFilter) Last() float64 { + if inc.Values == nil { + return 0.0 + } + return inc.Values.Last() +} + +var _ types.SeriesExtend = &KalmanFilter{} + +func (inc *KalmanFilter) PushK(k types.KLine) { + inc.update(k.Close.Float64(), (k.High.Float64()-k.Low.Float64())/2) +} + +func (inc *KalmanFilter) CalculateAndUpdate(allKLines []types.KLine) { + if inc.Values != nil { + k := allKLines[len(allKLines)-1] + inc.PushK(k) + inc.EmitUpdate(inc.Last()) + return + } + for _, k := range allKLines { + inc.PushK(k) + inc.EmitUpdate(inc.Last()) + } +} + +func (inc *KalmanFilter) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) { + if inc.Interval != interval { + return + } + inc.CalculateAndUpdate(window) +} + +func (inc *KalmanFilter) Bind(updater KLineWindowUpdater) { + updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate) +} diff --git a/pkg/indicator/kalmanfilter_callbacks.go b/pkg/indicator/kalmanfilter_callbacks.go new file mode 100644 index 000000000..3dff5fc49 --- /dev/null +++ b/pkg/indicator/kalmanfilter_callbacks.go @@ -0,0 +1,15 @@ +// Code generated by "callbackgen -type KalmanFilter"; DO NOT EDIT. + +package indicator + +import () + +func (inc *KalmanFilter) OnUpdate(cb func(value float64)) { + inc.UpdateCallbacks = append(inc.UpdateCallbacks, cb) +} + +func (inc *KalmanFilter) EmitUpdate(value float64) { + for _, cb := range inc.UpdateCallbacks { + cb(value) + } +} diff --git a/pkg/indicator/kalmanfilter_test.go b/pkg/indicator/kalmanfilter_test.go new file mode 100644 index 000000000..250656047 --- /dev/null +++ b/pkg/indicator/kalmanfilter_test.go @@ -0,0 +1,6191 @@ +package indicator + +import ( + "encoding/json" + "math" + "testing" + + "github.com/c9s/bbgo/pkg/types" +) + +// generated from Binance 2022/07/27 00:00 +// https://www.binance.com/api/v3/klines?symbol=ETHUSDT&interval=5m&endTime=1658851200000&limit=1000 +var testKalmanFilterDataEthusdt5m = []byte(`[ + { + "open": 1591.11, + "high": 1593.62, + "low": 1589.04, + "close": 1590.14 + }, + { + "open": 1590.14, + "high": 1596.51, + "low": 1590.13, + "close": 1592.06 + }, + { + "open": 1592.07, + "high": 1594.41, + "low": 1586.05, + "close": 1587.02 + }, + { + "open": 1587.02, + "high": 1588.38, + "low": 1583.86, + "close": 1585.33 + }, + { + "open": 1585.34, + "high": 1595.2, + "low": 1583.74, + "close": 1594.69 + }, + { + "open": 1594.69, + "high": 1594.75, + "low": 1589.89, + "close": 1591.36 + }, + { + "open": 1591.35, + "high": 1592.55, + "low": 1586.36, + "close": 1588.95 + }, + { + "open": 1588.95, + "high": 1589.75, + "low": 1588.39, + "close": 1589.38 + }, + { + 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additionalSmoothWindow: 3, + }, + want: 1369.24, + }, + { + name: "ETHUSDT Kalman Filter 25", + args: args{ + allKLines: klines, + window: 25, + additionalSmoothWindow: 0, + }, + want: 1369.84, + }, + { + name: "ETHUSDT Kalman Filter 99", + args: args{ + allKLines: klines, + window: 99, + additionalSmoothWindow: 0, + }, + want: 1369.95, + }, + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + filter := &KalmanFilter{ + IntervalWindow: types.IntervalWindow{Window: tt.args.window}, + AdditionalSmoothWindow: tt.args.additionalSmoothWindow, + } + for _, k := range klines { + filter.PushK(k) + } + got := filter.Last() + got = math.Trunc(got*100.0) / 100.0 + if got != tt.want { + t.Errorf("KalmanFilter.Last() = %v, want %v", got, tt.want) + } + }) + } +} + +func Test_KalmanFilterEstimationAccurate(t *testing.T) { + type args struct { + allKLines []types.KLine + partialInfo bool + window int + } + var klines []types.KLine + if err := json.Unmarshal(testKalmanFilterDataEthusdt5m, &klines); err != nil { + panic(err) + } + tests := []struct { + name string + args args + want float64 + }{ + { + name: "ETHUSDT Kalman Filter full K-line square error 7", + args: args{ + allKLines: klines, + partialInfo: false, + window: 7, + }, + }, + { + name: "ETHUSDT Kalman Filter full K-line square error 25", + args: args{ + allKLines: klines, + partialInfo: false, + window: 25, + }, + }, + { + name: "ETHUSDT Kalman Filter full K-line square error 99", + args: args{ + allKLines: klines, + partialInfo: false, + window: 99, + }, + }, + { + name: "ETHUSDT Kalman Filter partial K-line square error 7", + args: args{ + allKLines: klines, + partialInfo: true, + window: 7, + }, + }, + { + name: "ETHUSDT Kalman Filter partial K-line square error 25", + args: args{ + allKLines: klines, + partialInfo: true, + window: 25, + }, + }, + { + name: "ETHUSDT Kalman Filter partial K-line square error 99", + args: args{ + allKLines: klines, + partialInfo: true, + window: 99, + }, + }, + } + klineSquareError := func(base float64, k types.KLine) float64 { + openDiff := math.Abs(k.Open.Float64() - base) + highDiff := math.Abs(k.High.Float64() - base) + lowDiff := math.Abs(k.Low.Float64() - base) + closeDiff := math.Abs(k.Close.Float64() - base) + return openDiff*openDiff + highDiff*highDiff + lowDiff*lowDiff + closeDiff*closeDiff + } + closeSquareError := func(base float64, k types.KLine) float64 { + closeDiff := math.Abs(k.Close.Float64() - base) + return closeDiff * closeDiff + } + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + filter := &KalmanFilter{IntervalWindow: types.IntervalWindow{Window: tt.args.window}} + ewma := &EWMA{IntervalWindow: types.IntervalWindow{Window: tt.args.window}} + + var filterDiff2Sum, ewmaDiff2Sum float64 + var filterCloseDiff2Sum, ewmaCloseDiff2Sum float64 + var numEstimations = 0 + for _, k := range klines { + // square error between last estimated state and current actual state + if ewma.Length() > 0 { + filterDiff2Sum += klineSquareError(filter.Last(), k) + ewmaDiff2Sum += klineSquareError(ewma.Last(), k) + filterCloseDiff2Sum += closeSquareError(filter.Last(), k) + ewmaCloseDiff2Sum += closeSquareError(ewma.Last(), k) + numEstimations++ + } + + // update estimations + if tt.args.partialInfo { + filter.Update(k.Close.Float64()) + ewma.Update(k.Close.Float64()) + } else { + filter.PushK(k) + ewma.PushK(k) + } + } + filterSquareErr := math.Sqrt(filterDiff2Sum / float64(numEstimations*4)) + ewmaSquareErr := math.Sqrt(ewmaDiff2Sum / float64(numEstimations*4)) + if filterSquareErr > ewmaSquareErr { + t.Errorf("filter K-Line square error %f > EWMA K-Line square error %v", filterSquareErr, ewmaSquareErr) + } + filterCloseSquareErr := math.Sqrt(filterCloseDiff2Sum / float64(numEstimations)) + ewmaCloseSquareErr := math.Sqrt(ewmaCloseDiff2Sum / float64(numEstimations)) + if filterCloseSquareErr > ewmaCloseSquareErr { + t.Errorf("filter close price square error %f > EWMA close price square error %v", filterCloseSquareErr, ewmaCloseSquareErr) + } + }) + } +}