🌉

Bridge Transfer Events

Cross-chain bridge transfers from Across Protocol and Wormhole

About This Dataset

Every bridge transfer event with source chain, destination chain, token, USD value, sender address, and transaction hash. Captures capital movement between networks.

Partitions

protocol: across, wormhole

Schema

Column	Type	Description
`time_chain`	`timestamp`	Source chain block timestamp (UTC)
`time_local`	`timestamp`	Ingestion timestamp (UTC)
`source_chain`	`string`	Origin chain name
`dest_chain`	`string`	Destination chain name
`token`	`string`	Bridged token symbol
`amount_usd`	`float64`	Transfer value in USD
`sender`	`string`	Sender address
`tx_hash`	`string`	Transaction hash

Use Cases

Track cross-chain capital flows in real-time
Detect large bridge transfers (whale movements)
Analyze network migration trends (e.g., Ethereum → Base)
Correlate bridge flows with price movements

R2 Path

s3://algotick-data-lake/events/bridge_flows/protocol={protocol}/year=YYYY/month=MM/day=DD/node={node}/data.parquet

Replace YYYY, MM, DD with the target date. Data is collected from node=eu-central.

Query with DuckDB

import duckdb

df = duckdb.sql("""
    SELECT *
    FROM read_parquet(
        's3://algotick-data-lake/events/bridge_flows/protocol=across/year=2026/month=04/day=20/node=eu-central/data.parquet'
    )
    LIMIT 100
""").df()

print(f"Rows: {len(df)}, Columns: {list(df.columns)}")

Download via API

import requests

resp = requests.get(
    "https://algotick.dev/v2/history/raw?dataset=bridge_flows&protocol=across&date=2026-04-20",
    stream=True,
)

with open("bridge-flows.parquet", "wb") as f:
    for chunk in resp.iter_content(8192):
        f.write(chunk)

# Then query locally
import duckdb
df = duckdb.sql("SELECT * FROM 'bridge-flows.parquet' LIMIT 100").df()
print(df)

Get API Key →

Related signals: Whale Activity

Related datasets: Stablecoin On-Chain Flows DEX Swaps

Don't just stare at the dashboard. Automate it.

Every metric on this page is available via our sub-millisecond API.
Build trading bots, backtest strategies, and power AI agents with institutional-grade data.

Explore API →

Continue the Research

⚡ API Reference 🍳 Cookbook 📊 Backtests 📖 Playbooks