QuanTAlib 0.1.27

There is a newer version of this package available.
See the version list below for details.
dotnet add package QuanTAlib --version 0.1.27
NuGet\Install-Package QuanTAlib -Version 0.1.27
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="0.1.27" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add QuanTAlib --version 0.1.27
#r "nuget: QuanTAlib, 0.1.27"
#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=0.1.27

// Install QuanTAlib as a Cake Tool
#tool nuget:?package=QuanTAlib&version=0.1.27

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

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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.

Coverage

List of all indicators - current and planned

Validation

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

Questions

Some most common questions addressed

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  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 was computed.  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. 
.NET Core netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.1 is compatible. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
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NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

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Version Downloads Last updated
0.2.26 340 5/4/2023
0.2.4 196 4/17/2023
0.2.3 184 4/8/2023
0.2.2 170 4/8/2023
0.2.1 181 4/8/2023
0.2.0 170 4/7/2023
0.1.31 183 4/3/2023
0.1.30 179 3/30/2023
0.1.29 205 3/20/2023
0.1.28 195 3/20/2023
0.1.27 293 1/9/2023
0.1.25 264 1/4/2023
0.1.24 261 12/22/2022
0.1.23 280 12/6/2022
0.1.22 325 11/19/2022
0.1.21 299 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
0.1.14 463 5/12/2022
0.1.13 416 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
0.0.1 122 5/4/2023