Stock Indicators for . NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
NET** is a C# library package that produces financial market technical indicators. Send in historical price bars and get back desired indicators such as moving averages, Relative Strength Index, Stochastic Oscillator, Parabolic SAR, etc. Build your technical analysis, trading algorithms, machine learning, charting, or other intelligent market software with this library and your own OHLCV price bars sources for equities, commodities, forex, cryptocurrencies, and others. _This ** ** NuGet package was formerly named _ Streaming support Most indicators support three calculation styles, two
of them built for real-time and incremental data processing: **Series** - Traditional batch processing for complete historical datasets **BufferList** - Incremental calculations with simple, efficient buffer management **StreamHub** - Real-time processing with observable patterns and state management Quick example using streaming: Migrate to v3 → Visit our project site for more information: Overview Indicators and overlays Guide and Pro tips Demo site (a stock chart) Release notes Discussions Contributing
Frequently asked questions
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facioquo/stock-indicators-dotnet has 1,248 stars and 276 forks.
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facioquo/stock-indicators-dotnet is ranked 10,969.
What language and category are recorded?
facioquo/stock-indicators-dotnet has 1,248 stars, uses C# and belongs to Model Development.
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facioquo/stock-indicators-dotnet is compared with facebookresearch/home-robot, ranked 10,968 with 1,248 stars.
README
Stock Indicators for .NET
Stock Indicators for .NET is a C# library package that produces financial market technical indicators. Send in historical price bars and get back desired indicators such as moving averages, Relative Strength Index, Stochastic Oscillator, Parabolic SAR, etc. Nothing more.
Build your technical analysis, trading algorithms, machine learning, charting, or other intelligent market software with this library and your own OHLCV price bars sources for equities, commodities, forex, cryptocurrencies, and others.
This FacioQuo.Stock.Indicators NuGet package was formerly named Skender.Stock.Indicators
Streaming support
Most indicators support three calculation styles, two of them built for real-time and incremental data processing:
Series - Traditional batch processing for complete historical datasets
BufferList - Incremental calculations with simple, efficient buffer management
StreamHub - Real-time processing with observable patterns and state management
Quick example using streaming:
// Create a hub for streaming price bars
BarHub barHub = new();
// Subscribe indicators to the hub
EmaHub emaHub = barHub.ToEmaHub(20);
RsiHub rsiHub = barHub.ToRsiHub(14);
// Call from your WebSocket or SSE message handler as each bar arrives
void OnBarReceived(Bar bar)
{
barHub.Add(bar);
// Access real-time results
EmaResult emaResult = emaHub.Results[^1];
RsiResult rsiResult = rsiHub.Results[^1];
}
