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# TSeries: Time Series Data Container
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| Property | Value |
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| ---------------- | -------------------------------- |
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| **Category** | Core |
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| **Inputs** | Source (close) |
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| **Parameters** | None |
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| **Outputs** | Single series (TSeries) |
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| **Output range** | Varies (see docs) |
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| **Warmup** | 1 bar |
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### TL;DR
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- `TSeries` is a high-performance, memory-efficient container for time-series data.
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- No configurable parameters; computation is stateless per bar.
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- Output range: Varies (see docs).
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- Requires 1 bar of warmup before first valid output (IsHot = true).
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- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
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## What It Does
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`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.
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