Start, validate, and operate QuantDinger
Begin with setup, AI research, and backtesting, then move into account integration and safe operation. Architecture and API material remains available as contributor reference.
- 40
- English documents
- 9
- topic areas
- 100%
- source-generated
Recommended paths
Start with your goal
First run
Install, configure, and complete a backtest
AI research
Turn research into a tested strategy
Live and risk
Account boundaries, signals, and incidents
Deploy and operate
Production, monitoring, and users
Integrate an Agent
Tokens, MCP, permissions, and contracts
Complete catalog
English documentation
The navigation and catalog are language-specific. Canonical route names, schemas, scopes, and environment variables remain in English in every edition.
Overview
Getting started
Product guides
Trading & development
Deployment & operations
- Administrator Credentials and Settings Save Troubleshooting569 words
- QuantDinger Cloud Deployment Guide2,856 words
- Distributed Runtime Deployment and Scaling1,067 words
- Installation Troubleshooting513 words
- Multi-User Operation388 words
- Email SMTP Notification Configuration Guide825 words
- SMS Notification Configuration Guide829 words
- Telegram Notification Configuration Guide492 words
- OAuth Third-Party Login Configuration Guide865 words
- Observability178 words
- Production Hardening244 words
API contracts
Agent & MCP
Security & releases
Contributor reference
- API Conventions576 words
- QuantDinger Backend Architecture934 words
- QuantDinger Backend Concurrency Model785 words
- QuantDinger Extension Guide799 words
- QuantDinger Backend Module Boundaries817 words
- Backend Process Roles and Durable Tasks540 words
- Architecture Overview366 words
- V5.1 Shared Market Data Upgrade331 words
- V5.2 Cooperative Runtime Upgrade336 words
- V5.3 Event Protocol and Bar-Close Scheduling378 words
- V5.4 Kafka Event Backbone704 words
- V5.5 Strategy Shard Dispatch584 words
- V5.6 Evaluator Inbox and Fencing482 words
- V5.7 Distributed Bar Runtime548 words
- QuantDinger V6 Hyperscale Architecture Plan6,524 words
Machine-readable resources
APIs, examples, and source assets
YAML, JSON, Python examples, and diagrams retain the source directory structure. Current MCP package: 0.6.2.
