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WalkForwardDemo MT5

4

WalkForwardDemo is an expert adviser (EA) demonstrating how the built-in library WalkForwardOptimizer (WFO) for walk-forward optimization works. It allows you to easily optimize, view and analyze your EA performance and robustness in unknown trading conditions of future. You may find more details about walk-forward optimization in Wikipedia.

Once you have performed optimization using WFO, the library generates special global variables (saved in an "archived" file with GVF-extension) and a CSV-file with resulting data in the MQL5/Files folder. Once this is done, the data is used to build an HTML page with overview of the optimization. The names of GVF and HTML files correspond to CSV file name, initially specified in EA input wfo_outputFile.

EA is generated by MQL5 Wizard and based on 2 strategies - Envelopes and WPR. The principles of operation of such EAs and its input parameters are described in the documentation - Models of Trade Signals.

The WFO library parameters are described in the user guide.

You can quickly enable/disable the library using parameter EnableWFO.

An example of parameter set for EA optimization can be found in the product comments.


Report types

Depending from input parameters given for WFO library, it can generate different report types from the resulting data.

  • Standard walk-forward report with a table of passes containing performance indicators for in-sample and out-of-sample periods in the same row, and overall performance for entire aggregated forward period. The report is generated for rolling walk-forward analysis and as a drill down for cluster analysis;
  • Cluster report with a set of tables, containing annualized profit, efficiency, consistency, completeness, and number of days in step for selected combinations of window sizes and forward step sizes. This report is generated after clustered walk-forward optimization;
  • Anchored walk-forward report is similar to standard report except for that window size changes in every pass (row).

Standard and anchored reports show pass number in the 1-st column. Until MetaTrader is closed you may check every single pass by opening Optimization Results tab in the tester, double-clicking a row with required parameters - this will select optimal inputs from this pass into EA, so you can then start a test run.

In standard reports, in-sample optimization data is highlighted with blue color, and out-of-sample data - with yellow. If the latest pass contains forward step overlapping with current time it's highlighted in green, indicating that this is the latest known parameters applicable for trading right now.


Performance indicators

Annualized profit is a hypothetical profit which EA could earn in a year if optimization period profit and forward period profit are re-scaled proportionally to their length.

Efficiency is a ratio of annualized profits of forward and back periods.

Consistency is a fraction of profitable forward passes in aggregated forward period.

Completeness shows how many rolling passes was performed for specified combination of optimization window size and forward step size, can be less than requested number during genetic optimization, because this method skips some parameters values.

Number of days is suitable for converting step size in percent into days.

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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
EvoLevels
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,
Most of traders use resistance and support levels for trading, and many people draw these levels as lines that go through extremums on a chart. When someone does this manually, he normally does this his own way, and every trader finds different lines as important. How can one be sure that his vision is correct? This indicator helps to solve this problem. It builds a complete set of virtual lines of resistance and support around current price and calculates density function for spatial distributi
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Andrey Litvichenko
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Andrey Litvichenko 2017.10.19 04:21 
 

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Nork
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Nork 2017.07.21 14:29 
 

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Version 1.2 2017.06.06
Bugfix in deviation calculation.

Improvement in the reporter: if optimization window size or forward step size is constant, cluster report is shown as a single table, which contains all performance indicators - each in a separate row.