class SlowSTC(Indicator):
# Set the default initialization. The first one is executed.
def initialize(self):
self.options = [9, 3, 3]
self.displays = ["SK", "SD"]
# It generates indicators that is used internally. The first one is executed.
def declare_using(self):
self.ind1 = XAverage(self, self.options[1], "FK")
self.ind2 = XAverage(self, self.options[2], "SK")
# The computation is executed each time data is added or changed.
def calculating(self):
length = self.options[0]
highest = self.highest("H", length)
lowest = self.lowest("L", length)
self.lines["FK"] = (self.lines["C"] - lowest) / (highest -
lowest) * 100.0
self.ind1.calculate()
self.lines["SK"] = self.ind1.lines["XAverage"]
self.ind2.calculate()
self.lines["SD"] = self.ind2.lines["XAverage"]
class ADX(Indicator):
# Set the default initialization. The first one is executed.
def initialize(self):
self.options = [14]
self.displays = ["DX", "ADX"]
# It generates indicators that is used internally. The first one is executed.
def declare_using(self):
self.ind1 = DMI(self, self.options[0])
self.ind2 = XAverage(self, self.options[0], "DX")
# The computation is executed each time data is added or changed.
def calculating(self):
self.ind1.calculate()
self.lines["DX"] = fabs(self.ind1.lines['PDMI'] - self.ind1.lines['MDMI']) * 100.0 / (self.ind1.lines['PDMI'] + self.ind1.lines['MDMI'])
self.ind2.calculate()
self.lines["ADX"] = self.ind2.lines['XAverage']
class PMAO(Indicator):
# Set the default initialization. The first one is executed.
def initialize(self):
self.options = [12, 26]
self.displays = ["PMAO"]
# It generates indicators that is used internally. The first one is executed.
def declare_using(self):
self.ind1 = XAverage(self, self.options[0])
self.ind2 = XAverage(self, self.options[1])
# The computation is executed each time data is added or changed.
def calculating(self):
self.ind1.calculate()
self.ind2.calculate()
self.lines["PMAO"] = self.ind1.lines["XAverage"] - self.ind2.lines[
"XAverage"] * 100 / self.ind1.lines["XAverage"]
class WilliamsR(Indicator):
# Set the default initialization. The first one is executed.
def initialize(self):
self.options = [15, 5]
self.displays = ["WR", "WD"]
def declare_using(self):
self.ind1 = XAverage(self, self.options[1], "WR")
def calculating(self):
length = self.options[0]
highest = self.highest("H", length)
lowest = self.lowest("L", length)
self.lines["WR"] = (highest - self.lines["C"]) * (-100.0) / (highest -
lowest)
self.ind1.calculate()
self.lines["WD"] = self.ind1.lines["XAverage"]
def declare_using(self):
self.ind1 = XAverage(self, self.options[0], None,
("XAverage", "__TRIX_MA1"))
self.ind2 = XAverage(self, self.options[0], "__TRIX_MA1",
("XAverage", "__TRIX_MA2"))
self.ind3 = XAverage(self, self.options[0], "__TRIX_MA2",
("XAverage", "__TRIX_MA3"))
class TRIX(Indicator):
# Set the default initialization. The first one is executed.
def initialize(self):
self.options = [12]
self.displays = ["TRIX"]
# It generates indicators that is used internally. The first one is executed.
def declare_using(self):
self.ind1 = XAverage(self, self.options[0], None,
("XAverage", "__TRIX_MA1"))
self.ind2 = XAverage(self, self.options[0], "__TRIX_MA1",
("XAverage", "__TRIX_MA2"))
self.ind3 = XAverage(self, self.options[0], "__TRIX_MA2",
("XAverage", "__TRIX_MA3"))
# The computation is executed each time data is added or changed.
def calculating(self):
self.ind1.calculate()
self.ind2.calculate()
self.ind3.calculate()
value1 = self.lines["__TRIX_MA3", self.options[0]]
value0 = self.lines["__TRIX_MA3"]
val = (value0 - value1) * 100.0 / value1
self.lines["TRIX"] = val
class SONAR(Indicator):
# Set the default initialization. The first one is executed.
def initialize(self):
self.options = [12, 12, 12]
self.inputs = ["C"]
self.displays = ["SONAR", "SONAR_MA"]
# It generates indicators that is used internally. The first one is executed.
def declare_using(self):
self.ind1 = XAverage(self, self.options[0], None,
("XAverage", "__SONAR_MA"))
self.ind2 = XAverage(self, self.options[2], "SONAR",
("XAverage", "SONAR_MA"))
# The computation is executed each time data is added or changed.
def calculating(self):
self.ind1.calculate()
length = self.options[1]
value0 = self.lines["__SONAR_MA"]
value1 = self.lines["__SONAR_MA", length]
value = (value0 - value1) * 100.0 / value0
self.lines["SONAR"] = value
self.ind2.calculate()
class MACD(Indicator):
# Set the default initialization. The first one is executed.
def initialize(self):
self.options = [12, 26, 9]
self.displays = ["MACD", "Signal"]
# It generates indicators that is used internally. The first one is executed.
def declare_using(self):
self.indi1 = XAverage(self, self.options[0])
self.indi2 = XAverage(self, self.options[1])
self.indi3 = XAverage(self, self.options[2], "MACD")
# The computation is executed each time data is added or changed.
def calculating(self):
self.indi1.calculate()
self.indi2.calculate()
self.lines["MACD"] = self.indi1.lines["XAverage"] - self.indi2.lines[
"XAverage"]
self.indi3.calculate()
self.lines["Signal"] = self.indi3.lines["XAverage"]
def declare_using(self):
self.ind1 = DMI(self, self.options[0])
self.ind2 = XAverage(self, self.options[0], "DX")
def declare_using(self):
self.ind1 = XAverage(self, self.options[0])
self.ind2 = XAverage(self, self.options[1])
def declare_using(self):
self.ind1 = XAverage(self, self.options[0], None,
("XAverage", "__SONAR_MA"))
self.ind2 = XAverage(self, self.options[2], "SONAR",
("XAverage", "SONAR_MA"))
def declare_using(self):
self.indi1 = XAverage(self, self.options[0])
self.indi2 = XAverage(self, self.options[1])
self.indi3 = XAverage(self, self.options[2], "MACD")
def declare_using(self):
self.ind1 = XAverage(self, self.options[1], "FK")
self.ind2 = XAverage(self, self.options[2], "SK")
def declare_using(self):
self.indFD = XAverage(self, self.options[1], "FK")
def declare_using(self):
self.ind1 = XAverage(self, self.options[1], "WR")