by Patrick Burns.
Abstract: Random portfolios can provide a statistical test that a trading strategy performs better than chance. Each run of the strategy is compared to a number of matching random runs that are known to have zero skill. Importantly, this type of backtest shows periods of time when the strategy works and when it doesn’t. Live portfolios can be monitored in this way as well. This allows informed decisions — such as changes in leverage — to be made in real-time.
jun 25, 26
The email address patrick@burns-stat.com was out of action for a few hours today. It is back now.
jun 25, 26
Customization in R. Basics Several features benefit from being customizable — either because of personal taste or specifics of the environment. The way R implements this flexibility is through the [...]
jun 25, 26
How to control the limits of data values in R plots. R has multiple graphics engines. Here we will talk about the base graphics and the ggplot2 package. We’ll create [...]