panchamAI delivers the framework and support you need to design and implement Machine Learning Trading Strategies. Available to you are end to end Jupyter Notebooks (Python code) to fully implement:
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Support Vector Machine, Neural Networks and XGBoost Trading Strategies & Backtesting
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Sentiment Analysis Trading Strategy
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Ready to connect Interactive Brokers API Trading Application
Support Vector Machine Classifier Intraday Trading Strategy eMini S&P 500 Futures
In the following steps, an Intraday Trading Strategy for the eMini S&P 500 Futures is set up using a Machine Learning Support Vector Machine (SVM) Classifier Python framework. The SVM Classifier will apply a feature set of indicators to predict either a Buy, Sell or Hold signal for the next period. A Support Vector Machine Classifier is a ‘supervised’ Machine Learning algorithm (method). ‘Supervised’ means that it is first trained on historical data (such as past financial market data) to learn which predictive factors influence a future outcome. Subsequently, the trained SVM Classifier is then applied to new or unseen…
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