lazytrade (version 0.4.5)

rl_record_policy: Record Reinforcement Learning Policy.

Description

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

Usage

rl_record_policy(
  x,
  last_result,
  trading_system,
  path_terminal,
  fileName = "SystemControl"
)

Arguments

x

• Dataframe containing columns MarketType and Policy

last_result

• character vector of the last result of the trade

trading_system

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

path_terminal

• path to the sandbox where this Policy/Decision must be written

fileName

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

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(magrittr)
library(dplyr)
data(TradeStatePolicy)

dir <- normalizePath(tempdir(),winslash = "/")

rl_record_policy(x = TradeStatePolicy,
              last_result = "tradewin",
              trading_system = 8118101,
              path_terminal = dir,
              fileName = "SystemControlRL")



# }