// This cBot was created with AlgoBuilderX
//
// AlgoBuilderX is a powerful tool for creating automated trading strategies on the cTrader platform.
// With an intuitive drag-and-drop interface, you can easily build and customize your own trading
// algorithms without any coding knowledge. Whether you're a beginner or an experienced trader,
// AlgoBuilderX offers a seamless experience for developing, testing, and deploying your very own cBot
//
// Visit algobuilderx to start building your own cBots today!

Strategy: The strategy identifies “order blocks” using the Price ROC (Rate of Change) indicator, which measures the percentage change in price over a given time interval. When a strong price movement occurs, the strategy identifies previous candles of the opposite color from the impulsive movement, thus identifying the order block. Next, a horizontal line is drawn on the chart, and when price reaches this line, the trade is opened. The strategy involves the use of a fixed stop loss and a take profit expressed as a percentage of the stop loss to ensure a fixed risk ratio.

Parameters: The Buy Sens and Sell Sens parameters determine the target value of the Price ROC. A higher value indicates a larger price change, so a high number will only identify order blocks prior to more impulsive movements, resulting in a smaller selection. Conversely, a lower value will identify less accurate order blocks associated with less significant movements. The same concept applies to the Sell Sens parameter, except that the value must be negative. The default parameters of 0.28 and -0.28 are optimized for movements on H1 timeframes, so it is recommended to run the bot on this timeframe.

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You will be able to import it into the AlgoBuilderX workspace, view it, edit it, or export it.

Important Note:
This cBot is a demonstration example created with AlgoBuilderX and is not optimized for live use. It is designed to illustrate the functionality of AlgoBuilderX and serve as a starting point for creating custom strategies. It is recommended that you carefully test and optimize any strategy before implementing it on a real trading account