QuanTAlib 0.2.26

dotnet add package QuanTAlib --version 0.2.26
NuGet\Install-Package QuanTAlib -Version 0.2.26
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="QuanTAlib" Version="0.2.26" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add QuanTAlib --version 0.2.26
#r "nuget: QuanTAlib, 0.2.26"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install QuanTAlib as a Cake Addin
#addin nuget:?package=QuanTAlib&version=0.2.26

// Install QuanTAlib as a Cake Tool
#tool nuget:?package=QuanTAlib&version=0.2.26

QuanTAlib - quantitative technical indicators for Quantower and other C#-based trading platorms

Lines of Code Codacy grade codecov Security Rating CodeFactor

Nuget GitHub last commit Nuget GitHub watchers .NET7.0

Quantitative TA library (QuanTAlib) is a C# library of classess and methods for quantitative technical analysis useful for analyzing quotes with Quantower and other C#-based trading platforms.

QuanTAlib is written with some specific design criteria in mind - why there is 'yet another C# TA library':

  • Prioritize real-time data analysis (series can add new data and indicator doesn't have to re-calculate the whole history)
  • Allow updates to the last quote and adjusting the calculation to the still-forming bar
  • Calculate early data right - output data is as valid as mathematically possible from the first value onwards

Alt text

If not obvious, QuanTAlib is intended for developers, and it does not focus on sources of OHLCV quotes. There are some very basic data feeds available to use in the learning process: RND_Feed and GBM_Feed for random data, Yahoo_Feed and Alphavantage_Feed for a quick grab of daily data of US stock market.

See Getting Started .NET interactive notebook to get a feel how library works. Developers can use QuanTAlib in Polyglot Notebooks or in console apps, but the best usage of the library is with C#-enabled trading platforms - see QuanTower_Charts folder for Quantower examples and check Releases for compiled Quantower DLL.


List of all indicators - current and planned


QuanTAlib uses validation tests with four other TA libraries to assure accuracy and validity of results:


Some most common questions addressed

Product Compatible and additional computed target framework versions.
.NET net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 is compatible.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • net6.0

    • No dependencies.
  • net7.0

    • No dependencies.
  • net8.0

    • No dependencies.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.2.26 377 5/4/2023
0.2.4 199 4/17/2023
0.2.3 186 4/8/2023
0.2.2 172 4/8/2023
0.2.1 183 4/8/2023
0.2.0 172 4/7/2023
0.1.31 187 4/3/2023
0.1.30 182 3/30/2023
0.1.29 207 3/20/2023
0.1.28 197 3/20/2023
0.1.27 296 1/9/2023
0.1.25 268 1/4/2023
0.1.24 264 12/22/2022
0.1.23 282 12/6/2022
0.1.22 328 11/19/2022
0.1.21 301 11/18/2022
0.1.20 308 11/16/2022
0.1.19 70 11/14/2022
0.1.18 328 11/12/2022
0.1.17 295 11/11/2022
0.1.16 312 11/9/2022
0.1.15 98 11/6/2022
0.1.14 464 5/12/2022
0.1.13 417 4/30/2022
0.1.12 401 4/25/2022
0.1.11 400 4/20/2022
0.1.10-beta 151 4/16/2022
0.0.1 125 5/4/2023