Pattermere aggregates holdings from multiple exchanges and applies predictive risk modelling to each position, giving you a single, structured view rather than a fragmented one.
Holdings spread across several exchanges are difficult to assess as a whole. Pattermere connects to each venue through read-only API credentials and consolidates balances, open positions, and historical performance into a single structured ledger, updated continuously.
No manual exports. No spreadsheet reconciliation. The dashboard reflects your actual exposure at any given moment, across every connected account.
Each insight produced by Pattermere passes through three defined stages. None are skipped, and each is logged for later review.
Price, volume, and order-book data are pulled from each connected exchange at short intervals, then normalised into a common format so holdings can be compared on equal terms.
The aggregated data is scored against volatility, correlation, and liquidity factors. Positions are weighted according to how they behave under stress conditions, not just recent performance.
Output is presented as a ranked set of observations, each with its supporting rationale. The platform states what it found and why; it does not place trades on your behalf.
Many platforms are designed for frequent trading. Pattermere is built for the opposite instinct: fewer, better-supported decisions. The model is weighted to flag downside risk earlier than it flags upside opportunity, on the assumption that avoiding a poor outcome matters more than catching every favourable one.
Every recommendation includes the reasoning behind it, so you can assess whether it fits your own tolerance for risk before acting on it. Nothing is executed automatically.
We set out the mechanics plainly rather than asking you to take them on trust.
Exchange connections use API keys scoped to read-only permissions wherever the exchange supports this. Credentials are encrypted at rest, and Pattermere never requests withdrawal or trading permissions as part of standard setup.
Exchange data is refreshed at short, fixed intervals rather than instantaneously. This is a deliberate choice: the platform is built to support considered review, not second-by-second reaction, which suits its purpose for long-horizon investors.
The model applies asymmetric weighting: indicators associated with capital loss are given greater influence on the overall risk score than indicators associated with potential gain. This reflects a preservation-first approach rather than an attempt to maximise returns.
No. The platform produces analysis and ranked observations. Any decision to act on them, including trade execution, remains entirely with you and is carried out directly on your exchange account.
Affected holdings are marked as stale on the dashboard rather than silently omitted or estimated. Risk scores that depend on incomplete data are flagged accordingly until the connection is restored.
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