Walk Forward Optimization & Scikit-Learn

After looking over Scikit-Learns documention, I realized that there wasn’t a cross validation iterator for walk forward optimization.

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Author's profile picture JPN on scikit-learn and machine-learning

What is the best-kept secret in quantitative finance?

This is an excercpt from Paul Wilmott’s Frequently Asked Questions In Quantitative Finance:

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Author's profile picture JPN on quant_finance

Estimating Beta: Log or % Returns?

Almost all calculations in finance involve using log returns rather than % returns. There are a number of reasons why log returns are preferred. Estimating beta doesn’t seem like a special case.

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Author's profile picture JPN on beta

Juking the Stats

It’s extremely difficult to present an honest backtest because it’s close to impossible to distinguish one from an overfitted one … not unless the audience knows how to ask the right questions.

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Author's profile picture JPN on backtest and overfitting

Kalman Filters

I’ve spent the past week learning all I can about Kalman filters. The best description I found was:

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Author's profile picture JPN on kalman, statistics, and python

The Bulls

Several months ago, I saw this mural in Wynwood.
This is what a good portfolio looks like.

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Author's profile picture JPN on photography

Hello, World!

Hello!

This is my new blog.

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Author's profile picture JPN on news