Lollipop Lite EA

Lollipop Lite EA is the new EA based on random forest which is the ensemble of decision trees. Each decision tree, in the ensemble, process the sample and predicts the output label (in case of classification). Decision trees in the ensemble are independent. Each can predict the final response. The Neural Network is a network of connected neurons. The neurons cannot operate without other neurons - they are connected. Usually, they are grouped in layers and process data in each layer and pass forward to next layers. The last layer of neurons is making decisions.. It trained only on USDCHF.

Tree based learning algorithms are considered to be one of the best and mostly used supervised learning methods. Tree based methods empower predictive models with high accuracy, stability and ease of interpretation.

This is the lite version of my full version multicurrency EA - Lollipop.

You can use ANY timeframe

My EA uses a neural network for trading. Neural networks require a period of study in history and testing outside this period of study. The test on the history of the Lollipop EA shows the principle of work, but it is never trustworthy. Test the forward and please check my signal at the links in the description.

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