What is NumXL?
NumXL is a comprehensive collection of Excel add-ins designed specifically for time series analysis. This powerful suite transforms your Microsoft Excel into an advanced econometrics tool, delivering statistical precision comparable to that of higher-priced software. Seamlessly integrated into Excel, NumXL provides a wealth of econometric functions, an extensive array of shortcuts, and user-friendly interfaces, facilitating a smooth analytical process. Among its numerous features are tools for generating summary statistics like Gini and Hurst indices, performing statistical tests such as normality and stationarity assessments, and executing various exponential smoothing methods, including Brown's, Holt's, and Winter's techniques. Additionally, it supports ARMA, ARIMA, SARIMA, and X12ARIMA models, as well as ARMAX and SARIMAX configurations. The suite also includes sophisticated GARCH, E-GARCH, and other volatility modeling options, making it a versatile choice for both novice and expert users alike. With NumXL, users can efficiently tackle complex time series challenges directly within Excel.
Pricing
Price Starts At:
$25/user/month
Price Overview:
USD $250/user (year)
USD $625/user (perpetual)
USD $625/user (perpetual)
Free Trial Offered?:
Yes
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Screenshots and Video
Company Facts
Company Name:
SPIDER FINANCIAL CORP
Date Founded:
2008
Company Location:
United States
Company Website:
numxl.com
Product Details
Deployment
Windows
Training Options
Documentation Hub
Online Training
Webinars
Video Library
Support
Standard Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English
Spanish
NumXL Categories and Features
Statistical Analysis Software
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization