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WalkForwardBuilder MT5

5

This script allows performing a walk-forward analysis of trading experts based on the data collected by the WalkForwardLight MT5 library. The script builds a cluster walk forward report and rolling walk forward reports that refine it, in the form of a single HTML page. This script is optional, as the library automatically generates the report immediate after the optimization in the tester is complete. However, the script is convenient because it allows using the same collected data to rebuild the HTML report, using other available optimization criteria, such as profit factor, drawdown, etc.

The script only works in conjunction with the library. The library is purchased separately and must be included in an expert.

There is a similar script for MetaTrader 4 - WalkForwardBuilder.

A detailed User's Guide (in Russian) is available in the blog.

This script performs a walk-forward analysis using an unconventional method (details are in the User's Guide). There is another library - WalkForwardOptimizer MT5 (their MetaTrader 4 counterpart is a set of tools, consisting of the WalkForwardOptimizer library and the WalkForwardReporter script) for those, who want to adhere to the standard procedure more accurately (as much as possible with an implementation in the built-in tester without third-party programs).


Input parameters

  • Folder - name of the folder with the metadata files; is left blank, the script looks for the folder name in the WFL_FILE_ global variable created by the library;
  • Estimator - optimization criterion; available values - wfo_profit, wfo_sharpe, wfo_pf, wfo_drawdown, wfo_profit_by_drawdown, wfo_profit_trades_by_drawdown, wfo_average;


Metrics in reports

Cluster report

The cluster report at the top of the HTML page contains generalized tables of expert's forward testing results at different ombinations of the optimization window sizes and the forward testing step sizes. The columns correspond to the window sizes of 10%, 20%, 30%, 40%, 50% of the total date range in the tester settings. The rows correspond to the forward step sizes of 5%, 10%, 15%, 20%, 25%, 30% from the window size. All percentages are recalculated to bars (see the Bars table).

The cluster report consists of the following tables:

  • annualized profit/loss - the hypothetical profit of the EA per year, with the earnings recalculated in proportion to the optimization and testing periods.
  • efficiency - the ratio of the annual profit on testing period and optimization period of the same pass.
  • consistency - percentage of profitable passes among all test passes of the "spliced" forward test.
  • bars - the size of the window and step in bars.

All tables cells in the cluster report are links, clicking them allows to quickly navigate to the corresponding refinement report.

Refinement reports

The refinement report contains details of how the forward testing metrics were obtained for a particular combination of the size of the optimization window and the forward step. The rows in the refinement report correspond to the tester runs, where the best parameters for the optimization window were found. The results of the subsequent test on a forward step, calculated in the same tester run, are displayed in the same row.

The columns contain the start and end dates of the optimization window, the forward end date, as well as the following metrics for two periods at the same time - optimization window (blue background) and forward test (yellow background): profit, profit factor (Sharpe ratio can be selected), profit, loss, the number of successful and unsuccessful trades, as well as the drawdown in physical terms and in percentage terms. The right two columns show the tester pass number and the list of optimized parameter values.

It also displays the average, maximum, minimum values and variance; annual profit, efficiency, stability and drawdown of the cumulative forward test on all steps, as well as a schematic representation of the balance curve of the forward test.

Avis 2
Ali irwan
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Ali irwan 2017.07.25 07:14 
 

thank

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This is an intraday indicator that uses conventional formulae for daily and weekly levels of pivot, resistance and support, but updates them dynamically bar by bar. It answers the question how pivot levels would behave if every bar were considered as the last bar of a day. At every point in time, it takes N latest bars into consideration, where N is either the number of bars in a day (round the clock, i.e. in 24h) or the number of bars in a week - for daily and weekly levels correspondingly. So,
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[Supprimé] 2019.01.14 08:37 
 

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Ali irwan
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Ali irwan 2017.07.25 07:14 
 

thank

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