Walmersley consolidates data from the exchanges you already use into a single AI-analysed view, built for UK gig workers and retail investors managing supplemental income alongside other work.
Live preview: positions, balances and risk flags from each linked exchange, updated continuously and shown against one shared baseline — no manual spreadsheet reconciliation required.
Most people supplementing their income through trading or platform work hold accounts across several exchanges and tools. Each one has its own interface, its own reporting format, and its own blind spots.
Walmersley pulls that data into a single normalised feed, so positions, exposure and trends can be analysed together rather than reviewed one account at a time. The result is a consolidated picture you can act on, rather than a set of tabs to compare manually.
Beyond consolidation, Walmersley applies predictive models to the combined data set, surfacing patterns that are difficult to spot when reviewing accounts individually.
Price movement, volume shifts and account-level changes are tracked continuously across linked exchanges, with notable deviations flagged as they occur rather than discovered after the fact.
Exposure is calculated across all connected accounts, not each one in isolation, so concentration risk and correlated positions are identified before they compound.
Based on current positions and recent signal activity, the platform proposes specific adjustments, such as rebalancing or reducing exposure, which you review and execute on your own terms.
Rather than relying on testimonials, we set out the mechanics of the pipeline so you can judge the platform on its process.
Account data is pulled from each connected exchange on a continuous basis and normalised into a common format, covering balances, open positions and recent transaction history.
The normalised data is run through predictive models that assess volatility, correlation between holdings, and deviation from your established patterns of activity.
Findings are translated into a short list of flagged risks and suggested actions, presented in plain terms with the underlying figures available for review.
A rideshare driver who also holds positions across two crypto exchanges and a stocks and shares account uses Walmersley to see total exposure in one place each evening. Rather than logging into each platform separately, they review a single summary, check flagged risks, and decide whether to rebalance before the next working week.
A freelance contractor with variable working hours checks the platform during breaks rather than committing to a fixed trading schedule. Real-time signals highlight material changes since the last login, so decisions can be made in short windows of time without reviewing every account from scratch.
Set up takes a single session: connect your accounts, review the initial analysis, and decide what to act on. No long onboarding process and no obligation to change how you trade.
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