Beginning with version 3.00.4, DolphinDB introduces Streaming SQL —a transformative solution to these challenges. Register your business SQL once (with full support for joins, filters, sorting, and aggregations), and the engine automatically tracks changes in underlying data, pushing the latest results in real time to all subscribed clients.
Starting from DolphinDB V3.00.4, the cross-database federated query feature simplifies all of this into one idea: don't move the data—query it wherever it is, using a single SQL statement.
DolphinDB V3.00.4 solve this with a unified multi-asset data model that treats all financial instruments as standardized, strongly typed computational objects.
This article outlines the key features and enhancements in DolphinDB V3.00.3 & 2.00.16.
The age when everything gets quantified is no longer coming. It's here.
In this article, we walk through DolphinDB's built-in plot() function using an FX option volatility surface as a running example, showing you how to build professional 2D and 3D charts with mouse-driven rotation, zoom, and hover tooltips.
A decade ago, "let it run overnight" was an acceptable answer. Today, that timeline is obsolete.
The session delivered an in-depth technical breakdown of how DolphinDB's scripting language achieves C++-level performance—a technical masterclass for engineers and industry practitioners.
Quantitative trading boils down to one core objective: identifying and exploiting market inefficiencies. Like a gecko frozen in anticipation of its prey, the quant trader must act with precision the instant an opportunity emerges—then resume the wait.
Digital twins have long been understood as high-fidelity replicas of the physical world. Whether modeling entire cities through GIS systems or capturing the intricate details of buildings and factories via BIM, the traditional approach has focused on creating precise digital mappings of reality to enable simulation, analysis, and operational planning. But this paradigm is shifting.
