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macdParameters.R
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65 lines (40 loc) · 2.48 KB
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# Parameter demo for MACD demo
#
# Author: Yu Chen
###############################################################################
require(foreach,quietly=TRUE)
require(quantstrat)
demo('macd',ask=FALSE)
# example parallel initialization for doParallel. this or doMC, or doRedis are
# most probably preferable to doSMP
#require(doParallel)
#registerDoParallel() # by default number of physical cores -1
#please run macd demo before all these...
#retrieve the strategy from the environment, since the 'macd' strategy uses store=TRUE
stratMACD<-getStrategy('macd')
paramStructure<-getParameterTable(stratMACD)
rm(tPD2)
# Just provide leagal values and use random sampling.
# Make nFast and nSlow over lap from 20 to 30 to test the constrains later.
# First call don't need to input tPD2, the funciton will initial one and return it.
tPD2<-setParameterDistribution(type='indicator',indexnum=1,distribution=list(nFast=(10:30)),label='nFast')
# Initial one tPD2 and pass it also works as following two lines:
## tPD2<-setParameterDistribution()
## tPD2<-setParameterDistribution(type='indicator',indexnum=1,distribution=list(nFast=(10:30)),label='nFast')
tPD2<-setParameterDistribution(tPD2,type='indicator',indexnum=1,distribution=list(nSlow=(20:40)),label='nSlow')
tPD2<-setParameterDistribution(tPD2,type='signal',indexnum=1,distribution=list(relationship=c('gt','gte')),label='sig1.gtgte')
# Put constrains to the nFast and nSlow parameters.
pConstraint2<-setParameterConstraint(constraintLabel='macdPC',paramList=c('nFast','nSlow'),relationship='lt')
#testPackList2<-applyParameter(strategy=stratMACD,portfolios=portfolio.st,parameterPool=tPD2,method='random',sampleSize=3,parameterConstrains=pConstraint2)
#system.time(testPackList2<-applyParameter(strategy=stratMACD,portfolios=portfolio.st,parameterPool=tPD2,method='random',sampleSize=3,parameterConstrains=pConstraint2))
laststpar.rnd<-system.time(
testPackListPL<-applyParameter(strategy=stratMACD,portfolios=portfolio.st,parameterPool=tPD2,method='random',sampleSize=20,parameterConstraints=pConstraint2)
)
#laststpar.rnd
# Please run either random mode or expand mode, since the latter run will overwrite the objects in .blotter.
#laststpar.exp<-system.time(
# testPackListPL<-applyParameter(strategy=stratMACD,portfolios=portfolio.st,parameterPool=tPD2,method='random',sampleSize=20,parameterConstrains=pConstraint2)
#)
if(verbose >=1) print(laststpar.exp)
#examine the stats from this parameter run:
if(verbose >=1) print(testPackListPL$statsTable)