investfly.models.strategy.StrategyExecutionContext

Strategy execution context.

This module defines the StrategyExecutionContext dataclass that provides deployment-specific context data to strategy instances during execution.

@dataclass
class StrategyExecutionContext:

Execution context for a strategy instance.

The execution context contains per-execution data that is specific to a strategy deployment. This context is created by the execution engine and injected into strategy instances before their methods are called.

The context provides deployment-agnostic access to:

  • Portfolio state (positions, balances, performance)
  • Universe securities (resolved list of securities to evaluate)

Attributes: portfolio: The current portfolio state containing: - Open and closed positions - Account balances (cash, equity, total value) - Portfolio performance metrics universe_securities: List of Security objects representing all securities in the strategy's trading universe. This is the resolved list based on the security universe selector returned by TradingStrategy.getSecurityUniverseSelector().

Example: The execution engine creates and injects the context:

```python

context = StrategyExecutionContext( portfolio=current_portfolio, universe_securities=resolved_securities ) strategy.setContext(context)


    Strategies access context data via convenience methods:

    ```python
portfolio = self.getPortfolio()
universe = self.getUniverseSecurities()
StrategyExecutionContext( portfolio: investfly.models.portfolio.Portfolio, universe_securities: List[investfly.models.marketdata.Security])
universe_securities: List[investfly.models.marketdata.Security]