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The term 'quantamental' is a portmanteau of quantitative and fundamental analysis that refers to combining both techniques for the purpose of investment management.
A recurrent neural network (RNN) attempts to model time-based or sequence-based data. An LSTM network is a type of RNN that uses special units as well as standard units.
In this article on natural language processing, we discuss how to use the Naive Bayes formula for the purpose of sentiment analysis.
In this guide, we discuss the application of deep reinforcement learning to the field of algorithmic trading.
In this article, we discuss how to use natural language processing and logistic regression for the purpose of sentiment analysis.
In this article we look at how to build a reinforcement learning trading agent with deep Q-learning using TensorFlow 2.0.
In this article, we discuss two key concepts in portfolio optimization: Markovitz optimization and the Efficient Frontier.
In this article, we'll introduce key concepts of risk and return in portfolio analysis, including Value-at-Risk, Conditional Value-at-Risk, and more.
In this article we cover an important topic in reinforcement learning: Q-learning and deep Q-learning.
