Construct portfolio using score-tilt weighting with optional risk overlay
Builds portfolio weights by tilting scores with a power exponent (industry-standard score-tilt approach). Optionally applies a covariance-based risk overlay that reduces concentration in highly correlated stocks while staying close to the signal-driven target weights.
Authorizations
Enter 'Bearer' followed by a space and then your JWT or API Key.
Example: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
or Bearer YOUR_API_KEY_HERE
Path Parameters
UUID of the strategy
Query Parameters
The as-of date (YYYY-MM-DD) selecting a specific run of the version. Omitted -> the latest completed run for the version.
Explicit version to read. Omitted -> the strategy's active version.
Minimum market capitalization for inclusion.
Which signal metric to use for scoring companies.
linguisticBeta, marketBuzz, convictionScore Power exponent controlling how aggressively signal scores affect weights. 0 = equal weight, 1 = proportional to score, higher = top scores get more weight.
0 <= x <= 10Maximum weight allowed for any single holding.
0 < x <= 1Minimum weight for any single holding.
0 <= x <= 1Risk diversification level. 0 = pure score-tilt (no risk adjustment), 1 = maximum risk adjustment (reduce concentration in correlated stocks). Requires fetching price data for covariance computation.
0 <= x <= 1Annual risk-free rate used for Sharpe ratio calculation.
Number of top companies by signal score to include. If omitted, all qualifying companies are included.
x >= 2Body
Optional list of company IDs to include before applying other filters.