# High-Frequency Trading Volume Tracking

**Implementation Details**

**Class Names**

| Model Name                         | Parameters Class     | Data Class    |
| ---------------------------------- | -------------------- | ------------- |
| HighFrequencyTradingVolumeTracking | HFTVolumeQueryParams | HFTVolumeData |

**Import Statement**

```python
pythonCopyEditfrom satoshi_terminal.models.high_frequency_trading_volume_tracking import (
    HighFrequencyTradingVolumeTracking,
    HFTVolumeQueryParams,
    HFTVolumeData,
)
```

***

**Parameters**

| Name             | Type                    | Description                                              | Default | Optional |
| ---------------- | ----------------------- | -------------------------------------------------------- | ------- | -------- |
| blockchain\_name | str                     | Blockchain to track for high-frequency trading activity. | None    | False    |
| asset\_symbol    | Union\[str, List\[str]] | Asset(s) to monitor for HFT activity.                    | None    | False    |
| time\_horizon    | int                     | Time window (in minutes) for tracking trading volumes.   | 60      | True     |

***

**Data**

| Name                        | Type     | Description                                  |
| --------------------------- | -------- | -------------------------------------------- |
| blockchain\_name            | str      | Blockchain analyzed for HFT activity.        |
| asset\_symbol               | str      | Symbol of the asset being monitored.         |
| total\_hft\_volume          | float    | Total trading volume attributed to HFT.      |
| hft\_activity\_distribution | dict     | Breakdown of HFT activity by time or trader. |
| timestamp                   | datetime | Timestamp of the volume tracking analysis.   |

***

**Key Features**

* **HFT Volume Analysis:** Tracks trading volumes driven by high-frequency trading activity.
* **Asset-Specific Insights:** Focused tracking for specific tokens or assets.
* **Distribution Patterns:** Identifies patterns in trading volume across time intervals.


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