For the complete documentation index, see llms.txt. This page is also available as Markdown.

Token Velocity Heatmaps

Implementation Details

Class Names

Model Name
Parameters Class
Data Class

TokenVelocityHeatmaps

TokenVelocityQueryParams

TokenVelocityData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.token_velocity_heatmaps import (
    TokenVelocityHeatmaps,
    TokenVelocityQueryParams,
    TokenVelocityData,
)

Parameters

Name
Type
Description
Default
Optional

token_symbol

Union[str, List[str]]

Token(s) to analyze for velocity patterns.

None

False

time_horizon

int

Time window (in days) for tracking token velocity.

7

True

include_visuals

bool

Generate visual heatmaps for velocity patterns.

True

True


Data

Name
Type
Description

token_symbol

str

Symbol of the token analyzed.

average_velocity

float

Average velocity (transaction frequency relative to supply).

high_activity_zones

List[str]

Regions or addresses with the highest token activity.

velocity_trend

List[float]

Historical velocity trends over the specified period.

timestamp

datetime

Timestamp of the analysis.


Key Features

  • Transaction Frequency Analysis: Evaluates how frequently tokens are transacted relative to supply.

  • High Activity Zones: Highlights regions or wallets with the most significant transaction volumes.

  • Dynamic Heatmap Generation: Provides visual representations of token velocity across time and regions.

Last updated