Alpha documentation of PAST package for R

Slides from the talk at RMetrics/Meielisalp Switzerland Conference (Summer 2009)

The version for online reading (i.e. with all frames) is here. (approx 29 Meg)

The version for printing, (i.e. no frames, one page per "final" slide) is here. (approx 18 Meg)

An Introduction to PAST

This document introduces the terminology and usage model. More docs are on the way :-)

Click here for the (approx) 300k PDF doc (ver 001, 8 Jan 2009).

The code

The alpha code is here



However, I am leaving them here because the principles are the same, but all function names etc. have been changed. I am going to update these docs over the next few weeks, but for now, read the documents at the top of this page and then try these if you need more info.

PDF of July 24 2008 AAII meeting presentation on Installing PAST

The PDF of my July 24 presentation at AAII, Saratoga, CA is here (approx 3.4 Meg).

Note that this talk assumes you know what PAST does, and that you want to install it on your computer. Although I use Mac OS X, I've made it somewhat Windows-friendly and most of the screenshots etc are for a Windows install.

PDF of my earlier (Mar 11 2008) AAII meeting presentation on backtesting with PAST

If you are interested in my talk from earlier this year, you should note that several portions of it are outdated. However, if you are looking for an overview of how PAST works, and samples of how to simulate/backtest a screen, along with some pretty pictures, this is a good starting point.

There are two versions of the PDF. The first is the "frames" version that has all the slide transitions etc, and is suitable for viewing with a PDF reader on a screen.

That version (with animations, for on-screen) is here (approx 6 Meg).

The second version omits all the animations within each slide, and prevents your printer from spewing out many more pages than you would want. If you plan to print it, this is the version you want.

That version (no animations, for printing) is here (approx 4.7 Meg).

The code

The alpha code is here