Record Reinforcement Learning Policy for Market Types
Function will write a policy 'decision' to the csv file specific for each Expert Advisor
rl_record_policy_mt( x, trading_system, path_terminal, fileName = "SystemControlMT" )
x
: * Dataframe containing columns MarketType and Policytrading_system
: * numeric vector of length 1 with Trading System Magic Number informationpath_terminal
: * string, path to the terminal where this Policy/Decision must be writtenfileName
: * string, desired control file prefix e.g. 'SystemControlMT'nothing is returned but function will write csv file to the supplied directory
It is imperative that terminal path contains exact word Terminal3
library(stringr) library(lazytrade) data(policy_tr_systDF) dir <- normalizePath(tempdir(),winslash = "/") rl_record_policy_mt(x = policy_tr_systDF, trading_system = 8118101, path_terminal = dir, fileName = "SystemControlMT")
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