|
| 1 | +package pine |
| 2 | + |
| 3 | +import ( |
| 4 | + "fmt" |
| 5 | + "testing" |
| 6 | + "time" |
| 7 | + |
| 8 | + "github.com/pkg/errors" |
| 9 | +) |
| 10 | + |
| 11 | +// TestSeriesVarianceNoData tests no data scenario |
| 12 | +// |
| 13 | +// t=time.Time (no iteration) | | |
| 14 | +// p=ValueSeries | | |
| 15 | +// variance=ValueSeries | | |
| 16 | +func TestSeriesVarianceNoData(t *testing.T) { |
| 17 | + |
| 18 | + start := time.Now() |
| 19 | + data := OHLCVTestData(start, 4, 5*60*1000) |
| 20 | + |
| 21 | + series, err := NewOHLCVSeries(data) |
| 22 | + if err != nil { |
| 23 | + t.Fatal(err) |
| 24 | + } |
| 25 | + |
| 26 | + prop := series.GetSeries(OHLCPropClose) |
| 27 | + variance, err := Variance(prop, 2) |
| 28 | + if err != nil { |
| 29 | + t.Fatal(errors.Wrap(err, "error Variance")) |
| 30 | + } |
| 31 | + if variance == nil { |
| 32 | + t.Error("Expected to be non nil but got nil") |
| 33 | + } |
| 34 | +} |
| 35 | + |
| 36 | +// TestSeriesVarianceNoIteration tests this sceneario where there's no iteration yet |
| 37 | +// |
| 38 | +// t=time.Time (no iteration) | 1 | 2 | 3 | 4 | |
| 39 | +// p=ValueSeries | 14 | 15 | 17 | 18 | |
| 40 | +// variance=ValueSeries | | | | | |
| 41 | +func TestSeriesVarianceNoIteration(t *testing.T) { |
| 42 | + |
| 43 | + start := time.Now() |
| 44 | + data := OHLCVTestData(start, 4, 5*60*1000) |
| 45 | + data[0].C = 14 |
| 46 | + data[1].C = 15 |
| 47 | + data[2].C = 17 |
| 48 | + data[3].C = 18 |
| 49 | + |
| 50 | + series, err := NewOHLCVSeries(data) |
| 51 | + if err != nil { |
| 52 | + t.Fatal(err) |
| 53 | + } |
| 54 | + |
| 55 | + prop := series.GetSeries(OHLCPropClose) |
| 56 | + variance, err := RSI(prop, 2) |
| 57 | + if err != nil { |
| 58 | + t.Fatal(errors.Wrap(err, "error RSI")) |
| 59 | + } |
| 60 | + if variance == nil { |
| 61 | + t.Error("Expected to be non-nil but got nil") |
| 62 | + } |
| 63 | +} |
| 64 | + |
| 65 | +// TestSeriesVarianceIteration tests this scneario |
| 66 | +// |
| 67 | +// t=time.Time | 1 | 2 | 3 | 4 | 5 | |
| 68 | +// p=ValueSeries | 13 | 15 | 11 | 19 | 21 | |
| 69 | +// sma(p, 3) | nil | nil | 13 | 15 | 17 | |
| 70 | +// p - sma(p, 3)(t=1) | nil | nil | nil | nil | nil | |
| 71 | +// p - sma(p, 3)(t=2) | nil | nil | nil | nil | nil | |
| 72 | +// p - sma(p, 3)(t=3) | 0 | 2 | -2 | 6 | 5 | |
| 73 | +// p - sma(p, 3)(t=4) | -2 | 0 | -4 | 4 | 6 | |
| 74 | +// p - sma(p, 3)(t=5) | -4 | -2 | -6 | 2 | 4 | |
| 75 | +// Variance(p, 3) | nil | nil | 4 | 16 | 28 | |
| 76 | +func TestSeriesVarianceIteration(t *testing.T) { |
| 77 | + |
| 78 | + start := time.Now() |
| 79 | + data := OHLCVTestData(start, 5, 5*60*1000) |
| 80 | + data[0].C = 13 |
| 81 | + data[1].C = 15 |
| 82 | + data[2].C = 11 |
| 83 | + data[3].C = 19 |
| 84 | + data[4].C = 21 |
| 85 | + |
| 86 | + series, err := NewOHLCVSeries(data) |
| 87 | + if err != nil { |
| 88 | + t.Fatal(err) |
| 89 | + } |
| 90 | + |
| 91 | + testTable := []float64{0, 0, 4, 16, 28} |
| 92 | + |
| 93 | + for i, v := range testTable { |
| 94 | + series.Next() |
| 95 | + |
| 96 | + prop := series.GetSeries(OHLCPropClose) |
| 97 | + variance, err := Variance(prop, 3) |
| 98 | + if err != nil { |
| 99 | + t.Fatal(errors.Wrap(err, "error Variance")) |
| 100 | + } |
| 101 | + exp := v |
| 102 | + if exp == 0 { |
| 103 | + if variance.Val() != nil { |
| 104 | + t.Fatalf("expected nil but got non nil: %+v testtable item: %d", *variance.Val(), i) |
| 105 | + } |
| 106 | + // OK |
| 107 | + } |
| 108 | + if exp != 0 { |
| 109 | + if variance.Val() == nil { |
| 110 | + t.Fatalf("expected non nil: %+v but got nil testtable item: %d", exp, i) |
| 111 | + } |
| 112 | + if fmt.Sprintf("%.04f", exp) != fmt.Sprintf("%.04f", *variance.Val()) { |
| 113 | + t.Fatalf("expected %+v but got %+v testtable item: %d", exp, *variance.Val(), i) |
| 114 | + } |
| 115 | + // OK |
| 116 | + } |
| 117 | + } |
| 118 | +} |
| 119 | + |
| 120 | +// TestSeriesVarianceNotEnoughData tests when the lookback is more than the number of data available |
| 121 | +// |
| 122 | +// t=time.Time | 1 | 2 | 3 | 4 (here) | |
| 123 | +// p=ValueSeries | 14 | 15 | 17 | 18 | |
| 124 | +// variance(close, 5) | nil| nil | nil| nil | |
| 125 | +func TestSeriesVarianceNotEnoughData(t *testing.T) { |
| 126 | + |
| 127 | + start := time.Now() |
| 128 | + data := OHLCVTestData(start, 4, 5*60*1000) |
| 129 | + data[0].C = 13 |
| 130 | + data[1].C = 15 |
| 131 | + data[2].C = 11 |
| 132 | + data[3].C = 18 |
| 133 | + |
| 134 | + series, err := NewOHLCVSeries(data) |
| 135 | + if err != nil { |
| 136 | + t.Fatal(err) |
| 137 | + } |
| 138 | + |
| 139 | + series.Next() |
| 140 | + series.Next() |
| 141 | + series.Next() |
| 142 | + series.Next() |
| 143 | + |
| 144 | + testTable := []struct { |
| 145 | + lookback int |
| 146 | + exp *float64 |
| 147 | + }{ |
| 148 | + { |
| 149 | + lookback: 5, |
| 150 | + exp: nil, |
| 151 | + }, |
| 152 | + { |
| 153 | + lookback: 6, |
| 154 | + exp: nil, |
| 155 | + }, |
| 156 | + } |
| 157 | + |
| 158 | + for i, v := range testTable { |
| 159 | + prop := series.GetSeries(OHLCPropClose) |
| 160 | + |
| 161 | + variance, err := Variance(prop, int64(v.lookback)) |
| 162 | + if err != nil { |
| 163 | + t.Fatal(errors.Wrap(err, "error RSI")) |
| 164 | + } |
| 165 | + if variance == nil { |
| 166 | + t.Errorf("Expected to be non nil but got nil at idx: %d", i) |
| 167 | + } |
| 168 | + if variance.Val() != v.exp { |
| 169 | + t.Errorf("Expected to get %+v but got %+v for lookback %+v", v.exp, *variance.Val(), v.lookback) |
| 170 | + } |
| 171 | + } |
| 172 | +} |
| 173 | + |
| 174 | +func BenchmarkVariance(b *testing.B) { |
| 175 | + // run the Fib function b.N times |
| 176 | + start := time.Now() |
| 177 | + data := OHLCVTestData(start, 10000, 5*60*1000) |
| 178 | + series, _ := NewOHLCVSeries(data) |
| 179 | + vals := series.GetSeries(OHLCPropClose) |
| 180 | + |
| 181 | + for n := 0; n < b.N; n++ { |
| 182 | + series.Next() |
| 183 | + Variance(vals, 5) |
| 184 | + } |
| 185 | +} |
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