Machine learning with sentiment analysis

In recent years, we have seen an unprecedented explosion of interest in applying artificial intelligence and machine learning to a variety of quantitative finance problems, ranging from derivatives pricing and risk management to market forecasting and algo trading. In fact, Artificial Intelligence and Machine Learning are now seen as the greatest enablers of competitive advantage in the finance sector. Both applications use state-of-the-art Machine Learning techniques – LSTM neural net and NEAT genetic algorithm – in combination with news sentiment.