Generating Forex Intraday Trading Signals using ML Ensemble & NLP Sentiment Analysis Models

➩ Part I:

➩ Part II:

What is this content about

  • Using pandas data frame to manipulate datasets and matplotlib for data visualization.
  • Coding functions in python for technical indicators like MACD and RSI
  • Feature engineering (selecting, manipulating, and transforming data into features that can be used in our model learning)
  • Create, train and test Ensemble Machine Learning Models using sklearn library (Keras Framework).
  • Saving and loading ML models using pickle
  • Generating training and testing reports
  • Backtesting – Real-time testing using a free API – NLP


Code repository (and the jupyter notebook) :

Open chat
Powered by