NumXL
Established in 2008, and headquartered in Chicago, Spider Financial provides analytical and statistical software tools and services for securities trading, risk management, and financial operations. Our core mission is to enhance Microsoft Excel’s analytical capabilities with...
Cost / License
- Pay once or Subscription
- Proprietary
Platforms
- Windows
Features
- Excel Add-in
Tags
- statistics
NumXL News & Activities
Recent activities
- MachiTamago reviewed NumXL
NumXL is excel add-in that focuses on financial aspect of statistical analysis. It provides ARIMA type time series modelling, GARCH style volatility modelling, portfolio optimization, and other things that are typically required in typical buy side statistics, such as date-time management, MCMC, PCA, etc.
NumXL information
Developed by
Spider FinancialLicensing
Proprietary and Commercial product.Pricing
One time purchase that costs $625, and / or subscription that costs $25 per month.Alternatives
12 alternatives listedSupported Languages
- English
What is NumXL?
Established in 2008, and headquartered in Chicago, Spider Financial provides analytical and statistical software tools and services for securities trading, risk management, and financial operations. Our core mission is to enhance Microsoft Excel’s analytical capabilities with sophisticated econometric functions that cater to the needs of finance professionals and academics around the world.
Our core offering, NumXL, was born out of a need for a powerful, yet simple tool for analyzing time series models. For that, we’ve designed an intuitive user interface with the client’s experience as our main focus.
In addition to the simple user interface, our focus on providing the best possible experience for our clients has led us to offer a plethora of resources to support your use of our software. This includes video tutorials, documentation, and in-house support staff who are always an email or phone call away.
Comments and Reviews
NumXL is excel add-in that focuses on financial aspect of statistical analysis. It provides ARIMA type time series modelling, GARCH style volatility modelling, portfolio optimization, and other things that are typically required in typical buy side statistics, such as date-time management, MCMC, PCA, etc.