Registry / type-stubs / quantconnect-stubs

quantconnect-stubs

library17685pypypiunverified

Type stubs for QuantConnect's Lean algorithmic trading engine, enabling type hints and static analysis in Python. Current version 17685 (based on a build number; no standard semver). Released frequently as Lean evolves.

type-stubs

pip install quantconnect-stubs

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · QUANTCONNECT-STUBS

quantconnect-stubs

type-stubspythonv17685

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

QCAlgorithm

✓ from QuantConnect import QCAlgorithm

✗ from Algorithm import QCAlgorithm

Basic QuantConnect algorithm using stubs for type hints.

from Algorithm import QCAlgorithm class MyAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 1, 1) self.SetEndDate(2020, 12, 31) self.SetCash(100000) self.AddEquity("SPY", Resolution.Minute) def OnData(self, data): if not self.Portfolio.Invested: self.SetHoldings("SPY", 1.0)

Debug

Known issues

breakingStubs version numbers are build-based, not semver. Upgrading may introduce incompatible type signatures without a major version bump.

fix

Pin to a specific version and test after upgrade: pip install quantconnect-stubs==17685

affects: all

gotchaThe stubs are generated and may contain incomplete or incorrect type annotations. Do not rely on them for runtime behavior.

fix

Validate against official QuantConnect documentation for APIs used.

affects: all

deprecatedOld import paths like 'from QuantConnect.Algorithm import QCAlgorithm' may work but are deprecated in favor of 'from Algorithm import QCAlgorithm'.

fix

Use the new import path: from Algorithm import QCAlgorithm

affects: >=17685

Upgrade

Version history

17685latest on PyPI · released Apr 24, 2026

Audit

Dependencies

QuantConnectrequiredThe stubs are for the QuantConnect Lean engine, which must be installed separately (not on PyPI; typically via Docker or local build).

Agent activity

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Resources

githubhttps://github.com/QuantConnect/quantconnect-stubs-generator ↗

packagehttps://pypi.org/project/quantconnect-stubs/ ↗

homepagehttps://www.quantconnect.com ↗