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https://github.com/wassname/catalyst.git
synced 2026-07-17 11:25:55 +08:00
ENH: Adds the ichimoku cloud factor
This commit is contained in:
@@ -13,7 +13,8 @@ from zipline.pipeline.term import AssetExists
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from zipline.pipeline.factors import (
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BollingerBands,
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Aroon,
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FastStochasticOscillator
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FastStochasticOscillator,
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IchimokuKinkoHyo,
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)
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from zipline.testing import ExplodingObject, parameter_space
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from zipline.testing.fixtures import WithAssetFinder, ZiplineTestCase
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@@ -237,3 +238,119 @@ class TestFastStochasticOscillator(WithTechnicalFactor, ZiplineTestCase):
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)
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assert_equal(out, expected_out_k)
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class IchimokuKinkoHyoTestCase(ZiplineTestCase):
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def test_ichimoku_kinko_hyo(self):
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window_length = 52
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today = pd.Timestamp('2014', tz='utc')
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nassets = 5
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assets = pd.Index(np.arange(nassets))
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days_col = np.arange(window_length)[:, np.newaxis]
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highs = np.arange(nassets) + 2 + days_col
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closes = np.arange(nassets) + 1 + days_col
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lows = np.arange(nassets) + days_col
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tenkan_sen_length = 9
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kijun_sen_length = 26
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chikou_span_length = 26
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ichimoku_kinko_hyo = IchimokuKinkoHyo(
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window_length=window_length,
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tenkan_sen_length=tenkan_sen_length,
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kijun_sen_length=kijun_sen_length,
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chikou_span_length=chikou_span_length,
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)
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dtype = [
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('tenkan_sen', 'f8'),
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('kijun_sen', 'f8'),
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('senkou_span_a', 'f8'),
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('senkou_span_b', 'f8'),
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('chikou_span', 'f8'),
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]
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out = np.recarray(
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shape=(nassets,),
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dtype=dtype,
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buf=np.empty(shape=(nassets,), dtype=dtype),
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)
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ichimoku_kinko_hyo.compute(
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today,
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assets,
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out,
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highs,
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lows,
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closes,
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tenkan_sen_length,
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kijun_sen_length,
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chikou_span_length,
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)
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expected_tenkan_sen = np.array([
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(53 + 43) / 2,
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(54 + 44) / 2,
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(55 + 45) / 2,
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(56 + 46) / 2,
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(57 + 47) / 2,
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])
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expected_kijun_sen = np.array([
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(53 + 26) / 2,
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(54 + 27) / 2,
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(55 + 28) / 2,
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(56 + 29) / 2,
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(57 + 30) / 2,
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])
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expected_senkou_span_a = (expected_tenkan_sen + expected_kijun_sen) / 2
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expected_senkou_span_b = np.array([
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(53 + 0) / 2,
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(54 + 1) / 2,
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(55 + 2) / 2,
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(56 + 3) / 2,
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(57 + 4) / 2,
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])
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expected_chikou_span = np.array([
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27.0,
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28.0,
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29.0,
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30.0,
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31.0,
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])
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assert_equal(
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out.tenkan_sen,
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expected_tenkan_sen,
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msg='tenkan_sen',
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)
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assert_equal(
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out.kijun_sen,
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expected_kijun_sen,
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msg='kijun_sen',
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)
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assert_equal(
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out.senkou_span_a,
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expected_senkou_span_a,
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msg='senkou_span_a',
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)
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assert_equal(
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out.senkou_span_b,
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expected_senkou_span_b,
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msg='senkou_span_b',
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)
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assert_equal(
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out.chikou_span,
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expected_chikou_span,
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msg='chikou_span',
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)
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@parameter_space(
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arg={'tenkan_sen_length', 'kijun_sen_length', 'chikou_span_length'},
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)
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def test_input_validation(self, arg):
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window_length = 52
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with self.assertRaises(ValueError) as e:
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IchimokuKinkoHyo(**{arg: window_length + 1})
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assert_equal(
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str(e.exception),
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'%s must be <= the window_length: 53 > 52' % arg,
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)
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@@ -22,6 +22,7 @@ from .technical import (
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ExponentialWeightedMovingAverage,
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ExponentialWeightedMovingStdDev,
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FastStochasticOscillator,
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IchimokuKinkoHyo,
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MaxDrawdown,
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Returns,
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RSI,
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@@ -43,6 +44,7 @@ __all__ = [
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'ExponentialWeightedMovingStdDev',
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'Factor',
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'FastStochasticOscillator',
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'IchimokuKinkoHyo',
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'Latest',
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'MaxDrawdown',
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'RecarrayField',
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@@ -445,8 +445,7 @@ class BollingerBands(CustomFactor):
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class Aroon(CustomFactor):
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"""
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Aroon technical indicator.
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https://www.fidelity.com/learning-center/trading-investing/technical
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-analysis/technical-indicator-guide/aroon-indicator
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https://www.fidelity.com/learning-center/trading-investing/technical-analysis/technical-indicator-guide/aroon-indicator # noqa
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**Defaults Inputs:** USEquityPricing.low, USEquityPricing.high
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@@ -521,3 +520,73 @@ class FastStochasticOscillator(CustomFactor):
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global_dict={},
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out=out,
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)
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class IchimokuKinkoHyo(CustomFactor):
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"""Compute the various metrics for the Ichimoku Kinko Hyo (Ichimoku Cloud).
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http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:ichimoku_cloud # noqa
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**Default Inputs:** :data:`zipline.pipeline.data.USEquityPricing.high`
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:data:`zipline.pipeline.data.USEquityPricing.low`
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:data:`zipline.pipeline.data.USEquityPricing.close`
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**Default Window Length:** 52
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Parameters
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----------
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window_length : int > 0
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The length the the window for the senkou span b.
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tenkan_sen_length : int >= 0, <= window_length
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The length of the window for the tenkan-sen.
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kijun_sen_length : int >= 0, <= window_length
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The length of the window for the kijou-sen.
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chikou_span_length : int >= 0, <= window_length
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The lag for the chikou span.
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"""
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params = {
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'tenkan_sen_length': 9,
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'kijun_sen_length': 26,
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'chikou_span_length': 26,
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}
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inputs = USEquityPricing.high, USEquityPricing.close
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outputs = (
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'tenkan_sen',
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'kijun_sen',
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'senkou_span_a',
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'senkou_span_b',
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'chikou_span',
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)
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window_length = 52
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def _validate(self):
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super(IchimokuKinkoHyo, self)._validate()
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for k, v in self.params.items():
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if v > self.window_length:
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raise ValueError(
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'%s must be <= the window_length: %s > %s' % (
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k, v, self.window_length,
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),
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)
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def compute(self,
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today,
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assets,
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out,
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high,
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low,
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close,
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tenkan_sen_length,
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kijun_sen_length,
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chikou_span_length):
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out.tenkan_sen = tenkan_sen = (
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high[-tenkan_sen_length:].max(axis=0) +
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low[-tenkan_sen_length:].min(axis=0)
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) / 2
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out.kijun_sen = kijun_sen = (
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high[-kijun_sen_length:].max(axis=0) +
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low[-kijun_sen_length:].min(axis=0)
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) / 2
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out.senkou_span_a = (tenkan_sen + kijun_sen) / 2
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out.senkou_span_b = (high.max(axis=0) + low.min(axis=0)) / 2
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out.chikou_span = close[chikou_span_length]
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