Jobs Data

The Reflex Research Jobs dataset captures company-level hiring activity by tracking job postings across a broad universe of publicly listed firms. Unlike the options-derived datasets offered by Reflex Research, Jobs data is based on observable real-economy behaviour rather than derivative pricing.

Job postings provide a direct signal of corporate hiring intent. Changes in hiring activity often precede changes in reported financial performance, capital expenditure, and operating leverage, making labour demand a useful indicator of underlying business conditions.

The Jobs dataset is constructed by monitoring the creation, modification, and removal of job listings over time, allowing hiring intensity and trends to be analysed at the company, sector, and market level. The data is updated on a regular cadence and is independent of market prices or volatility.

Because labour market dynamics differ fundamentally from options market structure, Jobs data is exposed through a separate API with its own discovery and retrieval workflow. This separation reflects differences in data cadence, scaling characteristics, and typical use cases.

In practice, Jobs data is most often used as a contextual and comparative indicator. It can help identify shifts in corporate behaviour, divergence between labour demand and market pricing, and sector-level trends that are not immediately visible in price-based signals.

When used alongside options-implied measures such as Breeden–Litzenberger distributions, Gamma Exposure, and VIXnD, Jobs data provides a complementary view of market expectations versus underlying economic activity.