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,
)

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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