# facioquo/stock-indicators-dotnet

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.

Repository: https://github.com/facioquo/stock-indicators-dotnet
Canonical: https://ross.abutalabs.com/products/stock-indicators-dotnet
Homepage: https://dotnet.StockIndicators.dev
Language: C#
License: Apache-2.0
License Family: permissive
Topics: stock-trading, stock-market, indicators, quantitative-finance, algorithmic-trading, historical-quotes, stock-indicators, technical-indicators, nuget, forex, cryptocurrency, stock-analysis, package, technical-analysis, backtesting, stock, indicator
Last push: 2026-08-26T02:03:12+00:00

## Health v2 (maintenance only)
Score: 92/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 78, longevity 100
- inputs: {"age_days": 2439, "days_push": 8, "days_rel": 69, "gap_med": 39, "n_releases_24m": 8}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1233, forks 275 (observed 2026-08-28T04:04:04.642898+00:00)

## What it is
A C# NuGet library (FacioQuo.Stock.Indicators, formerly Skender.Stock.Indicators) that transforms historical OHLCV price bars from equities, commodities, forex, or crypto markets into technical indicators like moving averages, RSI, and Stochastic Oscillator. It supports batch, incremental buffer-list, and real-time stream-hub calculation styles for building trading, charting, and machine learning tools.

## Use cases
- calculate technical indicators like RSI and moving averages from price bars in C#
- build an algorithmic trading bot with technical analysis in .NET
- compute indicators on streaming real-time market data
- generate features for machine learning models from stock price history
- add indicator overlays to a custom stock charting application
- backtest trading strategies with historical OHLCV data
- analyze forex or cryptocurrency price series incrementally

## When to choose
- you need industry-standard technical indicators in a .NET/C# project
- you want batch, incremental, and real-time streaming indicator calculations from one library
- you bring your own price data and just need accurate, extensible indicator math
- you need indicator chaining, e.g. RSI of OBV or moving average of an indicator

## When to avoid
- you need a full trading platform with data feeds, order execution, or backtesting built in
- you want a Python library (use the companion Stock Indicators for Python instead)
- you need charting or visualization included - this library only computes indicators

## Facets
- artifact type: library
- maturity: active
- function: math, data-science, streaming, sdk
- domain: fintech, data-science, machine-learning, developer-tools
- platform: dotnet, cross-platform
- tags: technical-analysis, technical-indicators, stock-market, algorithmic-trading, quantitative-finance, ohlcv, nuget, moving-averages, rsi, backtesting, forex, trading-signals, cryptocurrency

## Member repositories
- facioquo/stock-indicators-dotnet (main) score 92

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:04.642898+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:22:15.721035+00:00, confidence not recorded.
  - readme: https://github.com/facioquo/stock-indicators-dotnet (fetched 2026-08-28T04:04:04.642898+00:00, sha 0f2b5e9674ab)
  - homepage: https://dotnet.StockIndicators.dev (fetched 2026-08-29T12:21:46.520452+00:00, sha 018b89ad0aa7)
  - site_page: https://dotnet.stockindicators.dev/guide/getting-started (fetched 2026-08-29T12:21:46.529587+00:00, sha 28ab60b7a755)
  - site_page: https://dotnet.stockindicators.dev/about (fetched 2026-08-29T12:21:46.533209+00:00, sha 4fbb70eaf711)
  - site_page: https://v2.dotnet.stockindicators.dev (fetched 2026-08-29T12:21:46.531578+00:00, sha 3979a46dbd2c)
- Data as of 2026-08-30T08:39:29.467469+00:00.