Features
Analysis tools built for considered decisions
A closer look at how Whetzel structures data, surfaces risk, and supports a calmer, more deliberate approach to investment research.
Core Capabilities
What Whetzel does differently
Every feature is designed around one principle: give you clearer information before you act, not faster signals to react to.
Structured Data Aggregation
Market, fundamental, and macro data are pulled into a single consistent view, reducing the time spent reconciling sources before analysis can begin.
Risk-Weighted Scoring
Every output is accompanied by a risk context, rather than a standalone number, so recommendations are framed by what could go wrong, not only what could go right.
Scenario Modelling
Adjustable assumptions let you see how a position behaves under different conditions, supporting planning rather than reaction.
Portfolio-Level View
Individual positions are shown alongside their effect on overall exposure, so decisions are made with the whole portfolio in mind.
Audit-Friendly Reporting
Analysis is presented with its underlying assumptions visible, making it easier to revisit and explain a decision after the fact.
Configurable Alerts
Notifications are tied to thresholds you define, keeping attention on meaningful change rather than constant market noise.
Risk-Aware By Design
Context before conclusions
Most tools present a figure and leave interpretation to the user. Whetzel takes a different path — every output is paired with the conditions under which it was generated, including volatility ranges, data confidence, and relevant caveats.
This matters because the same number can mean different things depending on the environment it was produced in. By keeping that context attached, Whetzel supports decisions that hold up under scrutiny, not just at a glance.
How It Fits Together
From data to decision
The features above work as a sequence, not a collection of separate tools.
Collect & Normalise
Raw data is gathered and standardised so comparisons across assets and time periods are reliable.
Score & Contextualise
Each dataset is analysed and paired with a risk profile, rather than delivered as an isolated signal.
Review & Decide
Findings are presented with supporting assumptions, ready for a deliberate, documented decision.
Built for teams who document their reasoning
If your process requires showing the "why" behind a decision — not just the "what" — Whetzel's assumption-visible reporting is designed to support that.
Benefits Summary
Why these features matter
Less time reconciling, more time deciding
By bringing data into one structure, Whetzel reduces the manual work of pulling information together, leaving more time for actual analysis.
Decisions you can explain later
Because assumptions and risk context travel with every output, it's easier to revisit a past decision and understand why it was made.
Consistency One structure across all data sources