Pair & correlation discovery
Surface stream pairs whose movements track — the way gold and the dollar once did — and test whether the relationship holds up.
Pear Data Corp finds the relationships hidden in market data — pairing streams, stitching them into aggregates, and surfacing where one signal reliably moves ahead of another. The result is an earlier read on where markets are heading.
The core work PDC was built on — now run at scale. We look for where markets move together, and turn stable structure into a forward signal.
Surface stream pairs whose movements track — the way gold and the dollar once did — and test whether the relationship holds up.
Stitch several data streams into a single aggregate index, then measure how that composite correlates with the target.
Identify which series moves first and turn stable lead-lag structure into a forward read on the trend.
Track correlations over time and flag the moment a relationship breaks down or a market regime shifts.
The same four movements on every engagement — a repeatable path from data to a decision you can time.
Pull the market data streams that bear on your question, and clean them to a common clock.
Generate candidate relationships — single series and stitched aggregates alike.
Test each pair for strength, stability, and lead-lag — and whether it survives out of sample.
Turn the relationships that hold into a forward read, then monitor for breaks.
The same operator's discipline, applied to go-to-market: strategy, stakeholder buy-in, campaign execution, and cross-channel optimization. A sample of the work:
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Visit sitePear Data Corp began with two data streams and one question: how tightly do they move together? The classic case was gold and the US dollar — for years, a near-mirror relationship. “Pear” is our nod to that origin: a pair. Today, with AI, we do it at scale — many streams, stitched and compared, to find the relationships worth acting on.
Send a note with the markets or metrics you’re watching, and we’ll come back with how we’d look for the correlation.
info@peardatacorp.com