Introduction to Python for Finance and Algorithmic Trading
In this guide, we introduce the fundamentals of Python programming for finance, including two key Python libraries: NumPy and Pandas.
Deep Reinforcement Learning for Trading with TensorFlow 2.0
In this article we look at how to build a reinforcement learning trading agent with deep Q-learning using TensorFlow 2.0.
Introduction to Markowitz Portfolio Optimization and the Efficient Frontier
In this article, we discuss two key concepts in portfolio optimization: Markovitz optimization and the Efficient Frontier.
Introduction to the Capital Asset Pricing Model (CAPM) with Python
In this article, we'll review the theory and intuition of the Capital Asset Pricing Model (CAPM) and then discuss how to calculate it with Python.
Introduction to Algorithmic Trading with Quantopian
In this article, we introduce the Quantopian trading platform for developing and backtesting trading algorithms with Python.