Synthetic Asset Usage Analytics

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
SyntheticAssetUsageAnalytics	SyntheticAssetQueryParams	SyntheticAssetUsageData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.synthetic_asset_usage_analytics import (
    SyntheticAssetUsageAnalytics,
    SyntheticAssetQueryParams,
    SyntheticAssetUsageData,
)

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Parameters

Name	Type	Description	Default	Optional
asset_symbol	Union[str, List[str]]	Synthetic asset(s) to monitor (e.g., sETH, sUSD).	None	False
usage_metric	str	Specific metrics to track (e.g., "Transaction Volume," "Liquidity Depth").	"Transaction Volume"	True
time_window	int	Time window (in days) for tracking synthetic asset usage.	7	True

---

Data

Name	Type	Description
asset_symbol	str	Symbol of the synthetic asset being analyzed.
total_volume	float	Total transaction volume of the synthetic asset (in USD).
liquidity_depth	float	Total liquidity available for the asset.
usage_trends	List[float]	Historical usage trends over the specified time period.
timestamp	datetime	Timestamp of the analysis.

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Key Features

• Volume Analysis: Tracks transaction volume for synthetic assets across platforms.

• Liquidity Insights: Highlights the availability of liquidity for synthetic asset trading.

• Trend Monitoring: Visualizes usage patterns over time to detect adoption trends.