High-Frequency Trading Volume Tracking

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
HighFrequencyTradingVolumeTracking	HFTVolumeQueryParams	HFTVolumeData

Import Statement

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

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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.

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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.