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Miha Kralj
2026-02-27 07:48:12 -08:00
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# TSeries: Time Series Data Container
| Property | Value |
| ---------------- | -------------------------------- |
| **Category** | Core |
| **Inputs** | Source (close) |
| **Parameters** | None |
| **Outputs** | Single series (TSeries) |
| **Output range** | Varies (see docs) |
| **Warmup** | 1 bar |
### TL;DR
- `TSeries` is a high-performance, memory-efficient container for time-series data.
- No configurable parameters; computation is stateless per bar.
- Output range: Varies (see docs).
- Requires 1 bar of warmup before first valid output (IsHot = true).
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
## What It Does
`TSeries` is a high-performance, memory-efficient container for time-series data. Unlike standard collections (like `List<TValue>`), it uses a **Structure of Arrays (SoA)** layout internally. This means it stores timestamps and values in separate contiguous arrays, optimizing memory access patterns for numerical processing and SIMD vectorization.