def __init__(self, high, low, close, volume, info, n=21):
indicator.__init__(self, 'CMF%u' % n, 'trend')
self.n = n
self.info = info
self.cmf, self.cosc = self.Init(high, low, close, volume, n)
# Signals Chaikin Oscillator Bullish/Bearish. Crossings.
self.toRise, self.toFall = FindIntersections(self.cosc, 0)
def __init__(self, high, low, atr, n=14):
indicator.__init__(self, 'DMI%u' % n, 'trend')
self.n = n
self.dip, self.din, self.adx = self.InitDMI(high, low, atr)
# Signals
fromBottom, fromTop = FindIntersections(self.dip, self.din)
self.buy = fromBottom
self.sell = fromTop
def __init__(self, high, low, close, n=14, d_n=3):
indicator.__init__(self, 'Stoch%u' % n, 'momentum')
self.n = n
self.d_n = n
self.overBoughtLvl = 80
self.overSellLvl = 20
self.k, self.d = self.InitStoch(high, low, close)
# Signals for stoch
self.buy, self.sell = FindIntersections(self.k, self.d)
def __init__(self, high, low, close, n=14):
indicator.__init__(self, 'CCI%u' % n, 'momentum')
self.n = n
self.factor = 0.015
self.cci = self.InitCCI(high, low, close)
self.cciSignal = CreateMovingAverage(self.cci, self.n * 1.5)
# Signals
fromBottom, fromTop = FindIntersections(self.cci, -100)
self.buy = fromBottom
fromBottom, fromTop = FindIntersections(self.cci, 100)
self.sell = fromTop
def __init__(self, prices, n=14):
indicator.__init__(self, 'RSI%u' % n, 'momentum')
self.n = n
self.overBoughtLvl = 70
self.overSellLvl = 30
self.hystersis = 5
self.rsi = self.InitRSI(prices, self.n)
self.notSellSignal = CreateSubsetByValues(self.rsi, 0, 30)
self.notBuySignal = CreateSubsetByValues(self.rsi, 70, 100)
self.trendToFall = CreateSubsetByValues(self.rsi, 100 - self.hystersis,
100)
self.trendToRise = CreateSubsetByValues(self.rsi, 0, self.hystersis)
self.fromBottom50, self.fromTop50 = FindIntersections(self.rsi, 50)
def __init__(self, high, low, close, volume, info, n=14):
indicator.__init__(self, 'MFI%u' % n, 'momentum')
self.n = n
self.info = info
self.typicalPrice = (high + low + close) / 3
self.moneyFlow, self.posFlow, self.negFlow, self.mfi = self.InitMoneyFlow(
self.typicalPrice, volume, n)
# money on the market plot
self.moneyMarket = self.moneyFlow.cumsum()
# Signals
fromBottom, fromTop = FindIntersections(self.mfi, 20)
self.buy = fromBottom
fromBottom, fromTop = FindIntersections(self.mfi, 80)
self.sell = fromTop
# TrenToFall / TrendToRise
fromBottom, fromTop = FindIntersections(self.mfi, 10)
self.buyStrong = fromBottom
fromBottom, fromTop = FindIntersections(self.mfi, 90)
self.sellStrong = fromTop
def __init__(self, data, type='rising'):
indicator.__init__(self, 'Trend', 'trend')
self.type = type
self.trends = self.Init(data)