We have improved the signal.change() and signal.relative_change() DSL functions for temporal change (eg QoQ, YoY) to better handle irregular quarterly calendars.
New Import Jobs feature for direct Snowflake integration; dashboard tables now scale to tens of thousands of rows; new Signal Explorer with re-designed user experience and support for non-company entities.
We're excited to launch a new Import Jobs feature, which provides a direct Snowflake integration for you to easily bring your data into Exabel. This furthers our goal of helping customers analyze all their alternative data in one place, leveraging Exabel’s analytics to combine data sets and derive differentiated insights.
Support for creating and editing tags with non-company entities; in-app What's New updates; more diagnostics on portfolio strategy & alpha test results; new DSL functions for factor neutralization & cross-sectional correlation; and expanded Library management via external APIs.
🎉 We have released the Datayes Insights Platform!
We are planning to deprecate the experimental REST client in the Exabel Python SDK. You will not be affected by this change, unless you use the SDK and have explicitly chosen to use the REST client in your data pipelines.
We are planning to deprecate the following product features, in order to continuously streamline and simplify our user experience, and because these are either no longer used, or have been replaced by other functionality.
🎉 We have released the Luxury Goods Sales Estimates Insights Platform by Databoutique.com!
DSL improvements for univariate forecasting, Z-scores & p-values, and retrieving detailed backtest results from Alpha Tests & Portfolio Strategies; easier integration of Prediction Models on Dashboards, and download of model backtests & predictions; and other improvements & fixes.
We have released support for more univariate forecasting models, together with a cleaner, generalized interface to make such forecasts through a new forecast() DSL function.
