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SEC API provides portfolio research analytics: factor exposure analysis, attribution, hedge candidate construction, bounded optimizer scenario generation, stress testing, and model factor analysis.

Endpoints

Portfolio Analysis

Analyze factor exposures, attribution, and hedge candidates for a portfolio:
Returns: factor exposures, attribution breakdown, factor-model fit, idiosyncratic risk proxy, benchmark active tilts, what-if exposure deltas, concentration risks, and hedge candidates.

Portfolio Attribution

Explain portfolio return through factor contributions:

Portfolio Hedge

Generate bounded benchmark-instrument hedge candidates for unwanted factor exposures. The response is an analytical proxy overlay with residual exposures and constraint diagnostics, not a trade instruction or full cross-exposure optimizer:

Portfolio Optimization

Generate bounded factor-aware optimizer scenarios for factor neutrality, minimum-drawdown, or regime-aware research workflows:
Optimizer outputs are analytical model scenarios for research and developer workflows, not personalized investment advice or a recommendation to trade. Use include=optimizer_candidates when you need the full candidate weights.

Stress Testing

Run stress scenarios against factor and macro shocks:

Model Portfolio Factor View

Drill into a model portfolio’s factor profile:

Model Factor Analysis

Analyze Model Builder or ad hoc model holdings without first persisting a model portfolio:

Use Cases

Factor Neutralization

Identify unwanted factor exposures and inspect bounded neutralization candidates.

Regime-Aware Rebalancing

Adjust portfolio weights based on the current macro regime.

Risk Budgeting

Allocate risk across factors and set concentration limits.

Hedge Construction

Generate benchmark-instrument hedge candidates with residual exposure, liquidity, and cost proxies.