Qlib innovatively provides the Qlib-Server online service model to support teams to share financial data and research results. After quickly deploying the server via Docker containers, multiple clients can connect simultaneously for data query and model training. This architecture significantly reduces the network overhead of repeated data downloads, which is particularly suitable for the collaboration scenario of financial research teams.
In practice, the online mode not only improves the efficiency of data processing, but also facilitates the unification of the team's experimental environment. The server automatically manages data versions and model storage to ensure that each member is using the latest and consistent underlying data. This design fully reflects Qlib's expertise as an enterprise-level research platform.
This answer comes from the articleQlib: an AI quantitative investment research tool developed by MicrosoftThe
