Complex Asset Assessment for ETFs / ETPs
Demo-ready compliance intelligence
MiFID II · Consumer Duty · ETF Controls

Classify complex ETFs before they become an operational problem.

Oppl’s Complex ETF Assessment tool turns messy ETF, ETP, KID, factsheet and product mechanics data into a clean Complex / Non-complex view for compliance, product, operations and client governance teams.

Drop in hero screenshot
Recommended: screenshot of the demo grid showing allowed ISINs, locked demo rows, service output and policy modes.
ETF
Built for ETF, ETP and ETC assessment workflows
3
Policy modes: UCITS, Balanced and Strict
1
Operational view: Complex, Non-complex or locked demo
API
Designed for portfolio checks, broker controls and evidence trails

What the tool gives your team

A client-friendly interface backed by structured assessment outputs, evidence snippets, source document checks and per-ISIN decision logic.
01

Clear service output

Each instrument receives a clean Complex / Non-complex classification, with confidence, product type, UCITS status and latest captured date.

02

Policy-mode comparison

Compare UCITS-default, balanced and strict policy outputs to see where internal policy choices materially change the classification.

03

Investor understanding layer

Surfaces product mechanics that may require additional explanation: leverage, path dependency, swaps, counterparty exposure, complex indices and more.

04

Evidence-led reports

Each report summarises supporting signals, risk language, complexity factors, non-complex factors and source document availability.

05

Demo-safe gating

Demonstrate the product using hard-limited ISINs, locked non-demo rows and login tracking so prospects can explore without seeing the full universe.

06

Operational integration

Designed to sit behind broker workflows, portfolio upload tools, product governance checks, suitability controls and internal compliance review.

Why brokers need it

ETF complexity is not a single field. It is a combination of product type, structure, replication, derivatives, leverage, index methodology, KID language and internal policy stance.

Detect leveraged, inverse, synthetic, swap-based and structured ETF/ETP features.
Reduce manual review effort by turning product mechanics into a repeatable classification output.
Support Consumer Duty and appropriateness discussions with product-level investor understanding indicators.
Create a defensible evidence trail without exposing raw internal collection or assessment logic.

Signals Oppl can surface

Leveraged or inverse exposure
Synthetic replication, swaps and counterparty language
Derivatives as core strategy versus efficient portfolio management
Commodity futures, roll exposure, contango/backwardation and ETC mechanics
PRIIPs comprehension alerts and difficult-to-understand product language
Complex index methodology, dynamic allocation and strategy rules

Demo screenshots

Replace the placeholders below with screenshots from the demo grid and individual ETF report pages.
Grid screenshot
Show ISINs, service output, policy modes, disagreements and locked demo rows.
Demo grid: allowed ISINs show full assessment outputs while non-demo instruments fall to the bottom as locked rows.
Report screenshot
Show classification, confidence, product type, UCITS status, replication and evidence summary.
Single-instrument report: clean classification, investor-understanding considerations and evidence-led decision summary.
Login screenshot
Show username/password demo gate and prospect-specific restricted access.
Demo access: named demo users, per-client ISIN lists and login/view logging for follow-up intelligence.
Locked ISIN screenshot
Show “Not available in demo” page for non-enabled ISINs.
Safe prospecting: show breadth of coverage without exposing the full commercial dataset or report universe.

How it works

A repeatable assessment flow that supports internal policy, client governance and operational controls.
Step 01
Collect product evidence
Oppl reads stored ETF/ETP assessment runs and source-document signals from KIID, PRIIPs KID, factsheet and product data.
Step 02
Normalise signals
Product mechanics are mapped into common indicators such as leverage, inverse exposure, swaps, synthetic replication and derivative use.
Step 03
Apply policy mode
UCITS-default, balanced and strict modes allow firms to see how internal policy stance affects classification.
Step 04
Deliver usable output
Compliance and operations teams get a dashboard, per-ISIN report, source links and JSON summary suitable for integration.

Ready to test your ETF universe?

Oppl can provide a restricted demo, portfolio-level review, or targeted assessment of ETF / ETP instruments already available on your platform.