from indicators.SingleValueIndicator import SingleValueIndicator
from indicators.SMA import SMA

class AccuDist(SingleValueIndicator):
	def __init__(self, timeSeries = None):
		super(AccuDist, self).__init__()

		self.initialize(timeSeries)

	def _calculate(self):
		if len(self.timeSeries) < 1:
			return

		candle = self.timeSeries[-1]

		mfm = ((candle.getClose() - candle.getLow()) - (candle.getHigh() - candle.getClose())) / float(candle.getHigh() - candle.getLow())
		mfv = mfm * candle.getVolume()

		if len(self.values) == 0:
			self.values.append(mfv)
		else:
			self.values.append(self.values[-1] + mfv)
a0df93b8518514fe8d9896ad365f8bdca3cccc22
<mask token>


class AccuDist(SingleValueIndicator):
    <mask token>
    <mask token>

<mask token>


class AccuDist(SingleValueIndicator):

    def __init__(self, timeSeries=None):
        super(AccuDist, self).__init__()
        self.initialize(timeSeries)
    <mask token>

<mask token>


class AccuDist(SingleValueIndicator):

    def __init__(self, timeSeries=None):
        super(AccuDist, self).__init__()
        self.initialize(timeSeries)

    def _calculate(self):
        if len(self.timeSeries) < 1:
            return
        candle = self.timeSeries[-1]
        mfm = (candle.getClose() - candle.getLow() - (candle.getHigh() -
            candle.getClose())) / float(candle.getHigh() - candle.getLow())
        mfv = mfm * candle.getVolume()
        if len(self.values) == 0:
            self.values.append(mfv)
        else:
            self.values.append(self.values[-1] + mfv)

from indicators.SingleValueIndicator import SingleValueIndicator
from indicators.SMA import SMA


class AccuDist(SingleValueIndicator):

    def __init__(self, timeSeries=None):
        super(AccuDist, self).__init__()
        self.initialize(timeSeries)

    def _calculate(self):
        if len(self.timeSeries) < 1:
            return
        candle = self.timeSeries[-1]
        mfm = (candle.getClose() - candle.getLow() - (candle.getHigh() -
            candle.getClose())) / float(candle.getHigh() - candle.getLow())
        mfv = mfm * candle.getVolume()
        if len(self.values) == 0:
            self.values.append(mfv)
        else:
            self.values.append(self.values[-1] + mfv)

from indicators.SingleValueIndicator import SingleValueIndicator
from indicators.SMA import SMA

class AccuDist(SingleValueIndicator):
	def __init__(self, timeSeries = None):
		super(AccuDist, self).__init__()

		self.initialize(timeSeries)

	def _calculate(self):
		if len(self.timeSeries) < 1:
			return

		candle = self.timeSeries[-1]

		mfm = ((candle.getClose() - candle.getLow()) - (candle.getHigh() - candle.getClose())) / float(candle.getHigh() - candle.getLow())
		mfv = mfm * candle.getVolume()

		if len(self.values) == 0:
			self.values.append(mfv)
		else:
			self.values.append(self.values[-1] + mfv)