> For the complete documentation index, see [llms.txt](https://statalpha.gitbook.io/statalpha-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://statalpha.gitbook.io/statalpha-docs/stats/intro.md).

# Introduction

The **StatAlpha Statistics ("Stats")** represent quantifiable market behavior patterns.\
They help identify recurring tendencies in price movements — providing statistical context for timing, direction, and risk.

Each statistics page includes:

* **Concept** — Explains what the stat measures and its underlying logic
* **Trading value** — Describes how it supports decision-making or trade validation
* **Parameters** — Lists key query parameters and their defaults
* **Examples** — Shows sample requests and response snippets
* **Interpretation** — Explains how to read results and common pitfalls

***

## Available Statistics

| Code            | Name                        | Description                                     |
| --------------- | --------------------------- | ----------------------------------------------- |
| **BOS**         | Break of Structure          | Detects structural trend shifts in price action |
| **FVG**         | Fair Value Gap              | Identifies imbalance zones between candles      |
| **ODC**         | Opening Day Continuation    | Analyzes post-open continuation behavior        |
| **PDHLB**       | Previous Day High/Low Break | Tracks breaks of prior day’s range              |
| **ORB**         | Opening Range Breakout      | Measures breakout probability after market open |
| **GAP**         | Opening Gaps                | Examines gap frequency and fill rate            |
| **OWC**         | Opening Week Period         | Evaluates early-week performance patterns       |
| **INTRADAY**    | Intraday Slots              | Aggregates metrics by time slots within the day |
| **SEASONALITY** | Weekday / Week / Month      | Shows recurring calendar patterns               |
| **TREND**       | Regime & Reversal Heuristic | Detects dominant trend behavior and reversals   |

***

### How to Use

Each stat endpoint is available under `/stats/<name>`\
For example:

```
GET /stats/fvg/summary?symbol=AAPL&timeframe=15m&time_window=12M
```

Every response provides aggregated metrics that can be combined, compared, or visualized to detect probabilistic market behavior.

***

### Tip

When exploring new stats, start with broader `time_window` parameters before refining into smaller `start_date` / `end_date` ranges for pattern confirmation.


---

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