Class: Indicator::AutoGen::T3

Inherits:
Base
  • Object
show all
Defined in:
lib/indicator/auto_gen/t3.rb

Overview

Ta-Lib function mapping class Function: ‘T3’ Description: ‘Triple Exponential Moving Average (T3)’ This file has been autogenerated - Do Not Edit.

Instance Attribute Summary collapse

Attributes inherited from Base

#name

Class Method Summary collapse

Instance Method Summary collapse

Methods inherited from Base

inherited, #map_ohlcv

Methods included from DataMapper

#default_getter, #default_getter=, #map

Constructor Details

#initialize(*args) ⇒ T3

Returns a new instance of T3.



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# File 'lib/indicator/auto_gen/t3.rb', line 11

def initialize(*args)
  if args.first.is_a? Hash
    h = args.first
    @time_period = h[:time_period] || 5
    @volume_factor = h[:volume_factor] || 7.000000e-1
  else
    @time_period = args[0] || 5 
    @volume_factor = args[1] || 7.000000e-1 
  end
  
  @func = TaLib::Function.new("T3")
end

Instance Attribute Details

#time_periodObject

Time Period <Integer>



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# File 'lib/indicator/auto_gen/t3.rb', line 7

def time_period
  @time_period
end

#volume_factorObject

Volume Factor <Double>



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# File 'lib/indicator/auto_gen/t3.rb', line 9

def volume_factor
  @volume_factor
end

Class Method Details

.argumentsObject

The list of arguments



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# File 'lib/indicator/auto_gen/t3.rb', line 30

def self.arguments
  [ :time_period, :volume_factor ]
end

.inputsObject

The minimum set of inputs required



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# File 'lib/indicator/auto_gen/t3.rb', line 35

def self.inputs
  [ :in_real ]
end

.outputsObject

The outputs generated by this function



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# File 'lib/indicator/auto_gen/t3.rb', line 40

def self.outputs
  [ :out_real ]
end

.price_input?Boolean

Is price data required as an input

Returns:

  • (Boolean)


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# File 'lib/indicator/auto_gen/t3.rb', line 25

def self.price_input?
  false
end

Instance Method Details

#run(in_real) ⇒ Object



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# File 'lib/indicator/auto_gen/t3.rb', line 44

def run(in_real)
  len = in_real.length
  @func.in_real(0, map(in_real))

  @func.opt_int(0, @time_period)
  @func.opt_real(1, @volume_factor)

  out_real = Array.new(len)
  @func.out_real(0, out_real)

  @func.call(0, len - 1)

  out_real
end