Every broker. Every format. One analytics layer.
Normalize counterparty files from every prime broker and trading desk into one data model. Automate margin, financing, and repo analytics across your entire counterparty network.
Your prime brokers, trading desks, and counterparties. One data model.
Connect, normalize, and query counterparty data across your entire broker network.
What Aquata connects for broker data analytics
Margin summary, swap financing, cash financing, and repo datasets from every broker.
Each counterparty delivers in their own format via SFTP. Aquata builds native pipelines for each file set. Data normalized and mapped into Aquata data models with client-specific quality rules applied on ingestion.
Pre-built Connectors
Prime broker and market data connectors
Counterparty files, Bloomberg Data License, and more. Configure and deploy without custom parsing code.
B2C2
Market Data
Institutional crypto liquidity and OTC trading
Binance
Market Data
Crypto exchange data, trading, and institutional custody
Bitstamp
Market Data
Crypto exchange pricing, trading data, and institutional services
CME Group
Market Data
Derivatives pricing, reference data, and market analytics
Coinbase
Custodian
Institutional crypto exchange, custody, and prime brokerage
Deribit
Market Data
Crypto derivatives pricing, options data, and volatility surfaces
FactSet Pricing
Market Data
Reference data, pricing, and analytics feeds
Galaxy Digital
Custodian
Institutional crypto trading, lending, and asset management data
ICE Data Services
Market Data
Pricing, reference data, indices, and fixed income analytics
Case Study
$21B+ Hedge Fund Operating Model
How a $21B+ hedge fund left spreadsheets behind and built a scalable, data-first operating model using Aquata.
- Counterparty data normalized from multiple brokers
- Automated margin and financing analytics
- Scalable reporting for regulatory and investment committee
Get started
Normalize your counterparty data in weeks, not months.
Start your free trial. Connect your prime brokers and trading desks into one analytics layer.
