QuanTAlib 0.1.14

There is a newer version of this package available.
See the version list below for details.
dotnet add package QuanTAlib --version 0.1.14
NuGet\Install-Package QuanTAlib -Version 0.1.14
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="0.1.14" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add QuanTAlib --version 0.1.14
#r "nuget: QuanTAlib, 0.1.14"
#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=0.1.14

// Install QuanTAlib as a Cake Tool
#tool nuget:?package=QuanTAlib&version=0.1.14

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 an easy-to-use C# library for quantitative technical analysis with base algorithms, charts, signals and strategies useful for trading securities with Quantower and other C#-based trading platforms.

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

  • Written in native C# - no code conversion from TA-LIB or other imported/converted TA libraries
  • No usage of Decimal datatypes, LINQ, interface abstractions, or static classes (all for performance reasons)
  • Supports both historical data analysis (working on bulk of historical arrays) and real-time analysis (adding one data item at the time without the need to re-calculate the whole history)
  • Separation of calculations (algos) and visualizations (charts)
  • Handle early data right - no hiding of poor calculations with NaN values (unless explicitly requested), data is as valid as mathematically possible from the first value
  • Preservation of time-value integrity of each data throughout the calculation chain (each data point has a timestamp)
  • Usage of events - each data series is an event publisher, each indicator is a subscriber - this allows seamless data flow between indicators without the need of plumbing (see MACD example to understand how events allow chaining of indicators)

QuanTAlib does not provide OHLCV quotes - but it can easily connect to any data feeds. There are some data feed classess available (RND_Feed for random OHLCV, YAHOO_Feed for Yahoo Finance daily stock data)

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

List of available and planned indicators. So. Much. To. Do...

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 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. 
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.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

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Version Downloads Last updated
0.2.26 337 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
0.1.25 262 1/4/2023
0.1.24 259 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
0.0.1 120 5/4/2023