We're excited to announce that we've recently released several major improvements to our signal expression language (DSL) for retrieving company calendars, aggregating alternative data to their fiscal periods, and calculating change including period-to-date change.

Improved table filtering and editing of charts on dashboards; finer control over prediction model inputs; downloading of financial models; Import Jobs SQL query previews; and general all-round polish.

We have deprecated these legacy DSL functions for calculating change/relative change: yoy(), yoy_relative(), qoq(), qoq_relative(), mom(), mom_relative().

🎉 Happy New Year! Best wishes from the Exabel team for a happy, healthy and prosperous 2023. To round off a fabulous year, we shipped 3 major features in December - alerts, the data catalog and charts on dashboards - and have lots more in store for 2023.

Alerts allow you to monitor your signals regularly for anomalies and inflection points, helping you to stay on top of the large and ever-growing volumes of alternative data.

We have added new model_predictions() and model_backtests() functions to retrieve predictions and backtests from prediction models respectively. These replace the existing model_by_id() and backtests() functions, which have ambiguous naming and have been deprecated.

A small update this month, with the main highlights being a new BigQuery integration in Import Jobs, making data import easier for a wider range of data sets and partners; and a new DSL function to retrieve Visible Alpha revisions, and more generally point-in-time revisions for a given raw data signal.

We have introduced a new va_revisions() function to retrieve Visible Alpha consensus revisions as a signal. This allows you to better understand how consensus estimates have changed over time - are there upgrades / downgrades, and is the revision trend changing?

🎉 We have released the YoujiVest Insights Platform!

Earlier this year, we released Import Jobs, allowing customers and partners to rapidly onboard data sets from Snowflake. Today, we're adding an integration with Google BigQuery to also support customers and data sets hosted on BigQuery, furthering our goal of helping investors combine and analyze all their alternative data in one place.