The process of systematically adjusting a cBot’s input parameters to find the most effective settings for performance. In cTrader Automate, Optimization involves running a cBot through many backtesting passes, each with different parameter combinations, and then reviewing which combination yields the best results. Essentially, the platform will iterate through all specified values for each parameter (like indicator periods, stop-loss size, etc.), and report which set of inputs produced the highest profit, best risk-adjusted return, or any criteria you choose. Optimization helps fine-tune a trading robot for a particular market or timeframe, though traders must be careful to avoid over-fitting to historical data.

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