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eas-guide:strategy-group

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eas-guide:strategy-group [2019/04/06 14:35] – ?nolink in image tags vinieas-guide:strategy-group [2020/12/15 07:43] – Ilan Vardy
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 ====== Strategy ====== ====== Strategy ======
  
-The **Strategy** link on the main navigation bar leads you to a group of pages that present a single strategy. Usually you will arrive on this page by clicking a strategy in the **[[eas-guide:collection|Collection]]**.+The **Strategy** link on the main navigation bar leads you to a group of pages that present a single strategy. Usually you will get to this page by clicking a strategy in the **[[eas-guide:collection|Collection]]**.
  
   * **[[eas-guide:editor|Editor]]** - In the Editor you can create new strategies manually. Here you can also review and edit strategies created by the **[[eas-guide:generator]]**.   * **[[eas-guide:editor|Editor]]** - In the Editor you can create new strategies manually. Here you can also review and edit strategies created by the **[[eas-guide:generator]]**.
   * **[[eas-guide:optimizer]]** - Optimizes the strategy for greater profits (or based on another measurement)   * **[[eas-guide:optimizer]]** - Optimizes the strategy for greater profits (or based on another measurement)
-  * **[[eas-guide:walk-forward]]** - Perform a sequential optimization applied to an investment strategy. Algorithmic traders apply such analysis to decrease the over-optimized parameters used in the investment strategy as we don’t want only a great looking backtest result, we want also a system that don't fail in live real money account.+  * **[[eas-guide:walk-forward]]** - Perform a sequential optimization applied to an investment strategy. Algorithmic traders apply these types 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.
   * **[[eas-guide:monte-carlo]]** - Runs a series of Monte Carlo tests. Monte Carlo introduces "noise" into the strategy execution and market data and in this way tests the strategy's robustness.   * **[[eas-guide:monte-carlo]]** - Runs a series of Monte Carlo tests. Monte Carlo introduces "noise" into the strategy execution and market data and in this way tests the strategy's robustness.
   * **[[eas-guide:multi-market]]** - Tests a strategy on different markets. Many traders believe that a strategy that works on multiple markets must be more robust on the primary market it is created for.   * **[[eas-guide:multi-market]]** - Tests a strategy on different markets. Many traders believe that a strategy that works on multiple markets must be more robust on the primary market it is created for.
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