Function check_if_optimize.
Purpose of this function is to verify trading system functionality by analysing profit factor on the last trades. Whenever trading robot has profit factor value below certain limit function will write a file log indicating which trading systems need to be maintained.
Learn by example how to manipulate data
check_if_optimize( x, system_list, path_data, num_trades_to_consider = 3, profit_factor_limit = 0.7, write_mode = FALSE )
x
: * dataframe containing trading resultssystem_list
: * dataframe containing a table with magic numbers used by robots. Stored in file Setup.csvpath_data
: * string, path to the folder where optimization file should be writtennum_trades_to_consider
: * Number of trades to calculate profit factorprofit_factor_limit
: * Limit below which trading robot is considered not working properlywrite_mode
: * When true function will write result to the file located in the temporary directoryfunction returns a dataframe with systems that should be optimized
Whenever there will be not enough trades then empty file will be written to the destination
library(lazytrade) library(magrittr) library(dplyr) library(readr) library(lubridate) path_data <- normalizePath(tempdir(),winslash = "/") file.copy(from = system.file("extdata", "Setup.csv", package = "lazytrade"), to = file.path(path_data, "Setup.csv"), overwrite = TRUE) system_list <- read_csv(file.path(path_data, "Setup.csv")) data(profit_factorDF) # without writing to the file check_if_optimize(x = profit_factorDF, system_list = system_list, path_data, num_trades_to_consider = 3, profit_factor_limit = 0.8, write_mode = TRUE)
(C) 2019,2021 Vladimir Zhbanko
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