Sinergy Al Model AudUsdH1

Hello! The Al trading model was trained on data in Australian dollars, and forward testing began in 2006. Six years of training data correspond to 18 years of test data. The Al trading model uses 99 features, one XGBoost model, and one CatBoost model.

The Al trading model was trained on data up to 2006, which allowed it to effectively predict future prices. The forward test outside the training section can be viewed after 2006. The Al trading model uses 99 features that allow it to effectively analyze the market and provide more accurate trading signals.

To choose the lot size, an improved Kelly formula is used, taking the signal from one of the Al trading models. The stop, take profit, and risk values can be optimized according to personal preferences and risk level. The Al trading model overcomes the overfitting problem, and in the future, new improved models will be presented for other assets.

For training the Al trading model, such technologies as cross-validation, feature engineering, feature clustering, and data preprocessing were used. The Al trading model uses a hybrid of regression and classification models, 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 model for each popular asset. The developer of the Al trading advisor is an author with over 8 years of experience in the market, an expert in financial markets.