Batch (Series)
Convert full bar collections to indicators, best for once-and-done bulk conversions.
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Indicator styles
Choose the right one for your use case
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Feature comparison
The library provides three distinct indicator styles to support different use cases.
| Feature | Batch (Series) | Buffer lists | Stream hubs |
|---|---|---|---|
| Incrementing | no | yes | yes |
| Batch speed | fastest | faster | fast |
| Scaling | low | moderate | high |
| Class type | static | instance | instance |
| Base interface | IReadOnlyList | IReadOnlyList (+ Add) | IStreamHub |
| Complexity | lowest | moderate | highest |
| Chainable | yes | manual | yes |
| Pruning | with utility | auto-preset | auto-preset |
| Healing | no | no | yes |
Healing: Built-in handling of out-of-order and de-deplication of incoming data.
Which style to use?
Start with Batch (Series) style unless you have a specific need for incremental processing or real-time streaming.
- Use Batch when you have a complete historical dataset and need to calculate indicators once. Fastest and simplest.
- Use Buffer lists when bars arrive one at a time and you need incremental processing without the overhead of a full hub infrastructure.
- Use Stream hubs when you need coordinated, automatic updates across multiple chained indicators from a live data feed with self-healing.
Getting started
See Getting started for installation, first steps, and example usage.