QSTrader
github.comStudy an exploratory Python engine for historical equities tests
Study an exploratory Python engine for historical equities tests
CRM workflows that distinguish the first matching event from repeated matches
Analyze product funnels and retention using event data already in a warehouse.
Calling-focused CRM with event-triggered WhatsApp follow-up workflows
Sales competitions with explicit metrics, participants and publishing controls
Measure website visits, conversion events and progress through a defined funnel.
Receive, process, and route traces, metrics, and logs to one or more observability backends.
Route and govern API traffic with an extensible gateway deployable across cloud, Kubernetes, or on-premises environments.
Coordinate retail orders, inventory and accounting with configurable automation.
Configure chart workspaces, order routes and share locates
Correlates application logs, traces, metrics, errors, and session replays for incident investigation.
Connect investment research with company events and portfolio tools
Swap routing with limit and cross-chain order tools
Email delivery and stream-level monitoring for teams managing multiple senders
SMTP and API email with independently configured application streams
Delivery updates and return routing managed through one retailer workspace
Transactional email and campaigns with separate content and metadata retention settings
An approachable JavaScript framework for building interactive user interfaces.
Launch isolated Linux or Windows containers in Azure without provisioning virtual machines.
Capture commerce events and monitor their delivery to advertising and analytics destinations.
Combine website statistics, events and operational checks across a small site portfolio.
Commerce operations with searchable order history and an event timeline
Cycling plans adjusted around available time, completed rides and an event goal
Lifecycle journeys with explicit entry timing, re-entry and exit rules