Audience

Demand Planning, Business Analyst, Financial Analyst, Management Consultant, and Academics

About NumXL

NumXL is a suite of time series Excel add-ins. It transforms your Microsoft Excel application into a first-class time series software and econometrics tool, offering the kind of statistical accuracy provided by far more expensive statistical packages. NumXL integrates natively with Excel, adding scores of econometric functions, a rich set of shortcuts, and intuitive user interfaces to guide you through the entire process.

(1) Summary Statistics - Gini, Hurst, KDE, etc.
(2) Statistical Testing - Normality, Stationarity, cointegration, etc.
(3) Brown's, Holt's & Winter's exponential smoothing
(4) ARMA/ARIMA/SARIMA & X12ARIMA
(5) ARMAX/SARIMA-X
(6) GARCH, E-GARCH & GARCH-M

Pricing

Starting Price:
$25/user/month
Pricing Details:
USD $250/user (year)
USD $625/user (perpetual)
Free Trial:
Free Trial available.

Integrations

API:
Yes, NumXL offers API access

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

SPIDER FINANCIAL CORP
Founded: 2008
United States
numxl.com

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Product Details

Platforms Supported
Windows
Training
Documentation
Live Online
Webinars
Videos
Support
Phone Support
Online

NumXL Frequently Asked Questions

Q: What kinds of users and organization types does NumXL work with?
Q: What languages does NumXL support in their product?
Q: What kind of support options does NumXL offer?
Q: What other applications or services does NumXL integrate with?
Q: Does NumXL have an API?
Q: What type of training does NumXL provide?
Q: Does NumXL offer a free trial?
Q: How much does NumXL cost?
Q: What pricing for support is available for NumXL?
Q: What pricing for training is available for NumXL?

NumXL Product Features

Statistical Analysis

Analytics
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Simulation
Time Series
Visualization
Association Discovery
Compliance Tracking
File Management
Statistical Process Control
Survival Analysis