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Learn how to curve fit to generate trading models to forecast the markets like the pros do

(Last Updated On: March 28, 2013)

Hi there

I just completed a set of useful examples for Matlab’s Curve Fitting toolbox. This technique is very useful in calculating models from market data time series fairly quickly. It also returns very detailed predictability data you will not find in traditional retail trading systems. This is why the professional traders use these technique to measure the accuracy of their trading models.

Here is a video on it:

https://quantlabs.net/blog/2013/03/youtube-video-on-important-demo-of-math-in-pure-quant-with-matlabs-curve-fitting-toolbox-capabilities/

These examples are exclusively for QuantLabs.net Premium Membership only.

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Here are the latest topics I posted for my Premium Membership on the Matlab Curve Fitting Toolbox

Curve fitting tool demo with analysis, plots, and code generation
Curve fitting tool demo with smoothing
Curve fitting tool demo with exclusion and section data
Rational fit demo
Surface fit tool demo
Programmatic curve fit demo
Smoothing Data I
Smoothing Data II
Excluding Data
Specifying Fit Options
Robust Fitting
Differentiating and Integrating a Fit
Prediction Intervals

There is the usual video walkthrough and sample script source code for each one.

–> JOIN NOW TO GET ACCESS <–

Hope this helps those interested in this.  Next up is the controversial Optimization toolbox.

Bryan

P.S. There are a lot more set of benefits to this membership besides learning about Curve Fitting! Check them out here.

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