Python for Finance: Portfolio Optimization
In this guide, we discuss portfolio optimization with Python. Topics covered include the Sharpe ratio, portfolio allocation, and portfolio optimization.
By
Peter Foy
Peter Foy
By
Peter Foy
8 Companies Working on AI for Trading & Investing
In this article, we've put together a list of 8 companies are that are helping investors improve their research process with AI and machine learning.
By
Peter Foy
What is Machine Learning? Key Concepts & Use Cases
In this guide, we'll discuss exactly what machine learning means, a brief history of AI, a 7 step framework for machine learning projects, and more.
By
Peter Foy
What is ESG Investing?
ESG investing is one of the fastest-growing trends in finance and alternative data. In this guide, we discuss what ESG investing is, trends, and more.
By
Peter Foy
What is Reinforcement Learning? A Complete Guide for Beginners
In this article, we take a scientific look at how we learn through trial and error with a computational approach called reinforcement learning.
By
Peter Foy
The Rise of Alternative Data & Machine Learning in Finance
In this guide, we'll discuss what alternative data is, examples and challenges of alt-data, and how machine learning can be used to extract insights and signals from the noise.
By
Peter Foy
Unsupervised Learning: Stock Market Clustering with K-Means
In this article we apply an unsupervised learning technique, K-means clustering, to a group of companies imported from Yahoo Finance.
By
Peter Foy
Machine Learning for Multiday Stock Estimates
In this guide, we're going to review an interesting application of AI for trading and investing: machine learning for multiday stock estimates.
By
Peter Foy
Blockchain Analytics: 14 On-Chain Metrics to Know
In this guide to blockchain analytics, we discuss 14 key terms that every crypto on-chain analyst, trader, and investor should know.
By
Peter Foy