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Sinergy Al Model AudUsdH1 2

Hello! The Al trading model was trained on Australian dollar data with a forward test starting in 2010. Six years of training data correspond to 18 years of test data. The Al trading model uses 400 features and one XGBoost model and one CatBoost model.

The Al trading model was trained on data up to 2010, allowing it to effectively predict future prices. A forward test outside the training section can be viewed after 2010. The Al trading model uses 400 features that allow it to effectively analyze the market and provide more accurate trading signals.

For lot selection, an improved Kelly formula is used, which takes the signal of one of the Al trading models. The stop, take, and risk values can be optimized according to personal preferences and risk level. The Al trading model overcomes the problem of overfitting (overfitting) and in the future, new improved Al trading models will be presented on other assets.

For Al trading model training, technologies such as cross-validation, feature engineering, feature clustering, data preprocessing were used. The Al trading model uses a hybrid of regression and classification models as a whole, which allows it to more effectively predict prices. Several new versions of the Al trading model are developed daily to achieve better results. In the future, it is planned to develop one Al trading model for each popular asset. The advisor developer is an author with over 8 years of market experience, an expert in financial markets.


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