Turn any financial time series into historical context. BondStats Context analyzes position, direction, velocity and rarity, then creates a portable Context Passport and Context DNA that publishers can embed on their own websites.
I built BondStats Context around a simple problem I kept encountering while building financial tools:
A number without history has very little context.
A yield of 4.2%, an index reading of 107 or a spread of 85 basis points tells you the current value. It does not immediately tell you whether that state is ordinary, unusual, accelerating, reversing or historically rare.
So instead of building another chart, I wanted to build the layer that could sit between raw data and interpretation.
BondStats Context takes a user-supplied time series and creates a Context Passport around it. The system examines historical position, movement and structural characteristics and produces a distinctive Context DNA signature.
The larger idea is portability.
A publisher, researcher or website owner should be able to take their own series, generate context around it and embed that result on their own website.
Any series. Any publisher. Any website.
This is an early version, and I’m particularly interested in feedback from people working with financial data, research publishing, economic databases and data visualization.