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WalkForwardBuilder

5

This script allows performing a walk-forward analysis of trading experts based on the data collected by the WalkForwardLight 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. Since the library generates files with the metadata in the "tester\Files" directory (during the optimization), it is necessary to manually move the files to the "MQL4\Files" directory.

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 5 - WalkForwardBuilder MT5, although it is auxiliary, as the MetaTrader 5 version of the library - WalkForwardLight MT5 - automatically creates files with the metadata in the "MQL5\Files" directory and builds reports.

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 set of tools - the WalkForwardOptimizer library and the WalkForwardReporter script (their MetaTrader 5 counterpart is the WalkForwardOptimizer MT5 library, which does not require the 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

  • CSVFolder - 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 column with the pass number allows determining the correspondence between this report and the standard optimization report of the tester, in particular for obtaining input parameters and running a single test.

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

Reviews 1
Ali irwan
5137
Ali irwan 2017.07.29 00:53 
 

interesting

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This non-trading expert utilizes so called custom symbols feature ( available in MQL as well ) to build renko charts based on historical quotes of selected standard symbol and to refresh renko in real-time according to new ticks. Also, it translates real ticks to the renko charts, which allows other EAs and indicators to trade and analyze renko. Place RenkoCharts on a chart of a work instrument. The lesser timeframe of the source chart is, the more precise resulting renko chart is, but the lesse
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This indicator shows price changes for the same days in past years. D1 timeframe is required. This is a predictor indicator that finds D1 bars for the same days in past 8 years and shows their relative price changes on the current chart. Parameters: LookForward - number of days (bars) to show "future" price changes; default is 5; Offset - number of days (bars) to shift back in history; default is 0; ShowAverage - mode switch; true - show mean value for all 8 years and deviation bounds; false - s
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Stanislav Korotky
This indicator predicts rate changes based on the chart display principle. It uses the idea that the price fluctuations consist of "action" and "reaction" phases, and the "reaction" is comparable and similar to the "action", so mirroring can be used to predict it. The indicator has three parameters: predict - the number of bars for prediction (24 by default); depth - the number of past bars that will be used as mirror points; for all depth mirroring points an MA is calculated and drawn on the ch
If you like trading crosses (such as AUDJPY, CADJPY, EURCHF, and similar), you should take into account what happens with major currencies (especially, USD and EUR) against the work pair: for example, while trading AUDJPY, important levels from AUDUSD and USDJPY may have an implicit effect. This indicator allows you to view hidden levels, calculated from the major rates. It finds nearest extremums in major quotes for specified history depth, which most likely form resistence or support levels, a
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Stanislav Korotky
The indicator displays most prominent price levels and their changes in history. It dynamically detects regions where price movements form attractors and shows up to 8 of them. The attractors can serve as resistance or support levels and outer bounds for rates. Parameters: WindowSize - number of bars in the sliding window which is used for detection of attractors; default is 100; MaxBar - number of bars to process (for performance optimization); default is 1000; when the indicator is called from
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,
The indicator draws a histogram of important levels for several major currencies attached to the current cross rates. It is intended for using on charts of crosses. It displays a histogram calculated from levels of nearest extremums of related major currencies. For example, hidden levels for AUDJPY can be detected by analyzing extremums of AUD and JPY rates against USD, EUR, GBP, and CHF. All instruments built from these currencies must be available on the client. This is an extended version of
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Ali irwan
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Ali irwan 2017.07.29 00:53 
 

interesting

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Version 1.1 2021.11.23
Minor improvements in logs and stats.