Time-series forecasting software


IPredict support is available from 9 am to 5 pm Central European Time, Monday through Friday. You can reach us through email.

IPredict support speaks:

  • English
  • Français

To speed up the support process please send an email with a simple Microsoft Excel workbook exemplifying your request and a description of the support request to IPredict Support.

Free Downloads, Demos, Forecasting Tools

Example Excel workbook.

Demo software that uses Wavelet Forecasting on financial data.

Example Excel workbook with Analytic Signal methods.

Example Excel workbook with Digital Signal Processing methods.

Example Excel workbook with Function Decoposition methods.

Example Excel workbook with Kernel Smoothing methods.

Example Excel workbook with several Optimal Linear Predictor time-series (including a Stock Market example).

Example Excel workbook with a Linear Regression model.

Example Excel workbook with a Logistic Regression model.

Example Excel workbook with Option Pricing results, contains a worksheet with an example Delta Neutral Strategy.

Example Excel workbook with Markowitz Optimal Portfolio model.

Example Excel workbook with Preprocessing methods.

Example Excel workbook with Spline methods.

Frequently Asked Questions

What are the system requirements to run IPredict?

50 MB of disk space, 256 MB of memory and 1.5 GHz processor.

How large a dataset can IPredict handle?

There are no explicit internal limits. All of the limitations of the Microsoft Excel plug-in depend from Microsoft Excel itself (so for example you cannot handle more than 65000 lines just because Microsoft Excel 2007 cannot handle more than that, of course this limitation has been lifted in more recent Excel versions).

Which versions of Windows and Excel are supported?

IPredict runs on Windows 7 32/64 bits, Windows 8 and 8.1 32/64 bits and Windows 10. IPredict requires Microsoft Excel 2007, 2010 or Microsoft Excel 2013 to be run as a standalone software. Microsoft Excel is not needed if the library is embedded in third party applications.

How do I start IPredict?

You don’t need to start IPredict, it starts automatically with Microsoft Excel. You will find the IPredict toolbar as a panel in the ribbon when opening Microsoft Excel after the installation and you will have the possibility to use IPredict formulas in any worksheet.

Are there some examples?

Yes, of course. You can find several examples in the installation folder in your machine. The examples cover each single method in the library.

How secure are my credit card details if I order online?

We use PayPal secure online forms to make the financial transaction, the most used online payment gateway. We don’t sell or rent your personal information to any company for any purpose.

I thought about a new feature that would be useful. Is it possible to add it to IPredict?

We are always looking for ways to improve IPredict. Please send an email to support with a description of what you’re thinking. You’ll be the first to see and use the new functionality and get one year of support if you buy the product.

Suggested Books

Often our customers ask us if there are books that explain the forecasting techniques implemented in IPredict. Here is a selection of books that are extremely useful in this respect. Please be aware that these books are not for the beginner and often require an extensive mathematical background.

Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series)

Elementary Probability Theory

Stochastic Calculus for Finance II: Continuous-Time Models (Springer Finance) (v. 2)

Introduction to Wavelets and Wavelet Transforms: A Primer

Time-Frequency Signal Analysis and Processing

Applied Quantitative Methods for Trading and Investment (The Wiley Finance Series)

An Introduction to Statistical Signal Processing

Paul Wilmott on Quantitative Finance 3 Volume Set (2nd Edition)

Economic Modeling and Inference

Forecasting: Methods and Applications

Introduction to Time Series and Forecasting

Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)

Forecasting Methods   Holt Winter’s, Series Decomposition and Wavelet Benchmarks
Time Series Forecasting   Use of the Moving Average in Time-series Forecasting
Forecasting Concepts   Denoising Techniques
Error Statistics   Computational Performance
Fast Fourier Transform   Moving Averages
Kernel Smoothing   Active Moving Average
Savitsky-Golay Smoothing   Fractal Projection
Downloading Financial Data from Yahoo   Multiple Regression
Digital Signal Processing   Principal Component Analysis
Curve Analysis   Options Pricing with Black-Scholes
Markowitz Optimal Portfolio   Time-series preprocessing