Package · PyPI
PyPI · v0.6.2 · Apache-2.0
Full-surface Model Context Protocol server for QuantDinger research, strategy authoring, backtests, observations, notifications, and safety-gated trading.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install quantdinger-mcpPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
<0.29,>=0.27.0<1.29,>=1.28.1No published news event mentions this package or its repository yet.