Machine Learning model forecasting on real time data

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Hi, I’m building a Forex trading system based on machine learning with Python and brokers API. I get price time series data + fundamental data and then i train the model on that. Model means SVM, RF, Ensemble methods, Logistic regression and ANN. The best performer emits a signal forecasting price (classification or regression depends on model). Now i'm using Random Forest.