Smallmoves risk modelling dashboard overview
Why Smallmoves

Built for income that doesn't arrive on a schedule

Most financial tools assume a steady paycheck. Smallmoves was designed around the reality of variable, lumpy, unpredictable income — so the numbers it gives you are actually usable.

Decision Snapshot
Income modelAdaptive
Rebalance triggerEvent-based
Assumption setVariable income
The Difference

Fixed-income tools don't translate

Risk tolerance questionnaires built for salaried employees tend to treat any income gap as an anomaly. For freelancers and independent consultants, income gaps are the normal operating condition. Smallmoves starts from that premise instead of retrofitting it.

ApproachConventional toolsSmallmoves
Income assumption Fixed monthly baseline Rolling variable baseline
Review cadence Annual or on request Triggered by income events
Volatility handling Flattened into an average Modelled as a range
Output format Single risk score Context-adjusted profile
Smallmoves methodology diagram and workspace

Our modelling layer treats irregular cash flow as structured data, not noise to smooth over — which is the core reason the output stays relevant month to month.

What Sets Us Apart

Reasons independent earners choose Smallmoves

01

Built around irregular income

The underlying model expects gaps, spikes, and seasonality — it doesn't need you to average your income into a fiction before it can be useful.

02

Updates when your situation does

Rather than waiting for a scheduled review, your profile recalculates when a meaningful income event is logged, keeping guidance current.

03

Transparent methodology

You can see the inputs behind every adjustment. Nothing is presented as a black-box score — the reasoning stays visible.

Baseline modelVariable
Review triggerEvent-based
Profile stateUp to date
Data sourceSelf-reported
Figures shown reflect the structure of a configured profile, not live account data.
In Practice

What this looks like day to day

  • Risk settings that respond to a slow month instead of silently carrying stale assumptions forward.
  • One configuration step to establish a baseline, with adjustments layered on top as income data accumulates.
  • A profile you can inspect and edit, rather than a fixed score handed down from a questionnaire.
  • Guidance framed around ranges and scenarios, not a single misleadingly precise number.

See whether an adaptive model fits your situation

Configuring a profile takes a few minutes and gives you a concrete starting point to compare against whatever you're currently using.

No long-term commitment required to get a first read