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Attribution from FactSet, StatPro, and Barra - one schema.

Ingest performance returns, attribution factors, and benchmark comparisons from 8 analytics providers into a common performance schema.

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8 Connectors

Pre-Built Connectors

FactSet, StatPro, Barra, and Bloomberg PORT are already in the marketplace

Performance returns, attribution factors, benchmark series, and analytics outputs normalized for reporting and downstream analysis.

BlackRock Aladdin

Risk

Aladdin risk analytics, portfolio management, and trading platform

Bloomberg PORT

Performance & Attribution

MAC HPA attribution, risk analytics, pricing, reference data, and ESG via B-PIPE and DL+

Confluence

Performance & Attribution

GIPS composites, regulatory reporting, performance calculation, and investor communications

FactSet Analytics

Performance & Attribution

PA Engine attribution, risk analytics, and return series across multi-asset portfolios

Morningstar

Market Data

Fund ratings, investment research, and portfolio analytics

MSCI

Performance & Attribution

Barra factor models, risk analytics, ESG ratings, index data, and AI Portfolio Insights

S&P Global

Performance & Attribution

iLEVEL portfolio monitoring, Capital IQ data, PME benchmarking, and ESG reporting

StatPro

Performance & Attribution

Multi-asset attribution, risk analytics, GIPS composites, and fixed income analytics

How It Works

From provider output to normalized performance data in three steps

Browse the Marketplace

Review available performance and attribution providers and the return, benchmark, and factor datasets each connector supports.

Configure credentials

Set up API or file-based access depending on the provider and its publication schedule.

Query normalized data

Portfolio returns, benchmark returns, excess returns, and attribution factors land in shared performance schemas for reporting and oversight.

What You Can Do

Four workflows, one performance connection

Returns, benchmark series, and attribution factors from 8 analytics providers, normalized into one performance schema.

Common Questions

No. Aquata ingests and normalizes the outputs from systems like StatPro. It does not replace the underlying performance calculation engine.

Get started

Attribution from FactSet, StatPro, and Barra - one schema.

8 performance and attribution connectors. Returns, factors, and benchmarks normalized for investor reporting and analytics.

Book DemoTalk to a Product Expert

Connect every source, normalize every schema, and deliver governed investment data without custom ETL maintenance.

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Compare portfolio returns from FactSet, StatPro, and internal calculations in one table.

Identify methodology differences across gross, net, benchmark, and excess return series without rebuilding calculation logic.

aquata.performance_returns9 attrs
PKportfolio_idstring
PKreturn_datedate
period_typestring
gross_returndecimal
benchmark_returndecimal
provider_sourcestring

by Arcesium