Cross-Chain Asset Bridging Trends

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
CrossChainBridgingTrends	BridgingTrendsQueryParams	BridgingTrendsData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.cross_chain_bridging_trends import (
    CrossChainBridgingTrends,
    BridgingTrendsQueryParams,
    BridgingTrendsData,
)

---

Parameters

Name	Type	Description	Default	Optional
source_chain	str	Blockchain where the assets originate.	None	False
target_chain	str	Blockchain to which the assets are being bridged.	None	False
asset_symbol	Union[str, List[str]]	Token(s) or asset(s) being tracked for bridging trends.	None	True
time_horizon	int	Time range (in days) for analyzing bridging activities.	7	True

---

Data

Name	Type	Description
source_chain	str	Blockchain where the assets originated.
target_chain	str	Blockchain where the assets were bridged to.
total_volume	float	Total volume of bridged assets (in USD).
top_bridged_assets	List[str]	List of the most frequently bridged assets.
timestamp	datetime	Timestamp of the analysis.

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Key Features

• Cross-Chain Volume Analysis: Tracks asset movement and volumes between blockchains.

• Top Asset Identification: Highlights the most commonly bridged tokens.

• Trend Detection: Provides historical and predictive insights into bridging activity.