====== Walk Forward ======

===== Introduction =====

Walk Forward analysis (WFA) or Walk Forward optimization (WFO) is a sequential optimization applied to an investment strategy. The name of the analysis is called "walk forward" because we have a moving window that progressively traverses the whole period of the data history with a pre-established step.

Algorithmic traders apply this type of analysis to decrease the over-optimized parameters used in the investment strategy as we don’t want only a great looking backtest result, we also want a system that doesn't fail in a live, real money account.

{{youtube>jzcCWydM51o?medium|}}
\\
When you click on **Strategy** from the top main menu in EA Studio, the Walk Forward tab is right after the Normalizer tab.

{{:eas-guide:normalizer-toolbar-1.png?nolink&800|}}



===== Step through the Process  =====

As mentioned, WFA consists of multiple optimization stages, and to perform the analysis we need to do this within a time window, where we first have the optimization in a larger window (in-sample) and a test in a smaller window (out-of-sample, unseen data).

During segment 1 all parameters combinations for the trading strategy will be tested (in-sample) and the parameter combination that is considered to be the most robust by the optimizer criteria will be used in the first ouf-of-sample segment.

The process will be repeated until the optimizer has traversed the whole data history with a pre-established step selected in the **Options** and results of the out-of-sample results will be on the **Statistics** page.

===== Equity chart and Output ===== 

Once the optimization has completed you can analyze the equity chart and the statistics to understand if the strategy has performed better or survived market dynamics changes.

{{:eas-guide:help-walk-forward-equity.png?nolink}}

The example above was a successful result of a WFO. The strategy still performing on unseen data (out-of-sample).

===== Statistics =====

You can analyse the result on the tested segments and most relevant metrics such as start date, end date, profit, return / dd, trades, win/loss and more.

===== Settings =====

Change the inputs for the analysis, such as: number of segments, out of sample, numeric values range and optimization goal.

===== Parameters =====

==== Strategy parameters by segments ====

Shows the numeric values of the indicators for each segment.

==== Full backtest with last parameters ====
When the Walk Forward is ready with all segments, it calculates a backtest against the full data series and the last parameters from the last segment. It shows the resulted Equity / Balance lines and the backtest stats.

==== Edit button ====
Using the **Edit** button, you copy the current strategy from the Walk Forward module to the Editor. This is useful if you want to export an EA with the last optimized parameters.

The "Edit" button becomes coloured in "green", when:
  * The full backtest fulfils the Common Acceptance Criteria.
  * The new strategy is "better" than the original according to the "Search best" option.
  * All segments are valid according to the Walk Forward's validation rules.

===== Validation =====

Apply a performance metric in each segment to validate the success of a strategy.