A Simple Trick for Dealing with Overlapping Data
Last week, we looked at simple data analysis techniques to test for persistence. But we only looked at a feature
Last week, we looked at simple data analysis techniques to test for persistence. But we only looked at a feature
Modeling features as expected returns can be a useful way to develop trading strategies, but it requires some care. The
Exponential weighting schemes can help navigate the trade-off between responsiveness and stability of the inherently noisy estimates we make from
A big part of the job of the indie trader is data analysis. We’re always looking in the past data
I’m a big fan of Ernie Chan’s quant trading books: Quantitative Trading, Algorithmic Trading, and Machine Trading. There are some
The vector autoregression (VAR) framework is common in econometrics for modelling correlated variables with bi-directional relationships and feedback loops. If
This Kalman Filter Example post is the first in a series where we deploy the Kalman Filter in pairs trading.
Some price series are mean reverting some of the time, but it is also possible to create portfolios which are
Recently, I wrote about using mean-reversion time series models to analyze financial data and build trading strategies based on their