The Quote Book
The Quote Book is Quantra's market-data catalog — every quote series, its latest value, and its history in one place. Curves and products resolve their inputs from here, as of your As-Of date. This page covers browsing and editing the catalog, plus charting history in the Time Series Lab.
What's in the catalog
Open Market Data → Quote Book. Each row is a quote series — a named,
time-stamped stream of values. A series is identified by a canonical id (e.g.
EUR.IRS.10Y) and described by its asset class, currency, tenor, and field.
The columns tell you at a glance:
- Canonical ID — the series' unique name.
- Class / CCY / Tenor / Field — what the series represents (e.g. Rates · EUR · 10Y · Rate).
- Latest — the most recent value.
- Source — provenance:
syntheticfor the bundle's demo data, ormanual/csvfor values you imported. This is how you always know what's real versus demo.
Filter by currency or asset class using the dropdowns, and use Bulk CSV import → to jump to the import screen.
The As-Of date and resolution
The Quote Book shows each series' latest value in the table, but pricing resolves the value
as of the header's As-Of date. So a curve that references EUR.IRS.10Y picks up whatever
that series' value was on your valuation date — change the As-Of and the resolved input changes with it.
(See Getting Started for how As-Of works.)
Managing series
The Quote Book is where you define and maintain series (their definitions — the values come from Import):
- + New series — create a series definition. You set the canonical id, asset class, instrument, currency, and field (required), plus optional family, tenor, and description.
- Edit — adjust a series' metadata.
- Delete — remove a series. This also removes that series' stored values, so you're warned first. (App-level curve references to a deleted series are yours to manage.)
- Expand a row — see the value history for that series, with a sparkline, and add a single value inline.
Series first, then values. A series must exist before you can add values to it. The Import screen deliberately rejects values for an unknown series — so if you're bringing in a brand-new series, define it here in the Quote Book first, then import its values.
Time Series Lab
The Time Series Lab (under Market Data) charts the history of one or more series together. Pick the series in the left panel, and the chart plots them with normalization and scale controls — useful for comparing curves, spotting bad points, or eyeballing how your imported data lines up against the synthetic demo data.
The controls let you:
- Search and select which series to plot (checkboxes), filtered by source.
- Switch between Raw and normalized views, choose a rolling window, and toggle a Log scale.
- Set a Min/Max date range for the chart.
- Assign each series to the left or right axis when you're comparing series with different magnitudes.
A series needs at least two data points to chart; single-point series (common for some synthetic demo entries) simply can't be drawn and are shown as such.