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Copy file name to clipboardExpand all lines: README.md
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Build your technical analysis, trading algorithms, machine learning, charting, or other intelligent market software with this library and your own [OHLCV](https://dotnet.stockindicators.dev/guide/#historical-quotes) price quotes sources for equities, commodities, forex, cryptocurrencies, and others. [Stock Indicators for Python](https://python.stockindicators.dev/) is also available.
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## Streaming Support
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v3 introduces comprehensive **streaming capabilities** for real-time and incremental data processing. Most indicators now support three calculation styles:
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-**Series** - Traditional batch processing for complete historical datasets
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-**BufferList** - Incremental calculations with efficient buffer management
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-**StreamHub** - Real-time processing with observable patterns and state management
Copy file name to clipboardExpand all lines: docs/_indicators/Keltner.md
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.ToKeltner(..);
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```
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### Stream indicator
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##Streaming
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This indicator supports real-time streaming with `ToKeltnerHub()`. See [StreamHub guide]({{site.baseurl}}/guide/#streaming-hub-style-indicators) for usage.
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Use the buffer-style `List<T>` when you need incremental calculations without a hub:
Copy file name to clipboardExpand all lines: docs/_indicators/SuperTrend.md
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## Chaining
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This indicator is not chain-enabled and must be generated from `quotes`. It **cannot** be used for further processing by other chain-enabled indicators.
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## Streaming
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Use the buffer-style `List<T>` when you need incremental calculations without a hub:
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