lazytrade (version 0.4.5)

rl_record_policy_mt: Record Reinforcement Learning Policy for Market Types

Description

Function will write a policy 'decision' to the csv file specific for each Expert Advisor

Usage

rl_record_policy_mt(
  x,
  trading_system,
  path_terminal,
  fileName = "SystemControlMT"
)

Arguments

x

• Dataframe containing columns MarketType and Policy

trading_system

• numeric vector of length 1 with Trading System Magic Number information

path_terminal

• string, path to the terminal where this Policy/Decision must be written

fileName

• string, desired control file prefix e.g. 'SystemControlMT'

Value

nothing is returned but function will write csv file to the supplied directory

Details

It is imperative that terminal path contains exact word Terminal3

Examples

# NOT RUN {

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")


# }