Sinergy Al Model AudUsdH1 4

Hello! The Al trading model was trained on Australian dollar data, with a forward test starting in 2008. Eight years of training data correspond to 16 years of test data. The Al trading model uses 100 features and employs one XGBoost model and one CatBoost model.

The Al trading model was trained on data up to 2008, enabling it to effectively predict future prices. The forward test out of the training segment can be observed after 2008. The Al trading model utilizes 100 features, allowing it to efficiently analyze the market and generate more accurate trading signals.

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

Technologies such as cross-validation, feature engineering, feature clustering, and data preprocessing were used to train the Al trading model. The Al trading model employs a hybrid of regression and classification models, making it more effective at price prediction. Several new versions of the Al trading model are developed daily to achieve better results. In the future, the plan is to develop one model for each popular asset. The Al trading advisor developer is an author with over 8 years of market experience and is an expert in financial markets.