> ## Documentation Index
> Fetch the complete documentation index at: https://docs.worthcall.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Weights

> Ensemble weight management — simulate, tune, and track changes.

# Weights (`/weights`)

Controls how much influence each model has on the ensemble score.

## Current Weights

Shows Claude, GPT-4o, and Gemini weights (sum to 1.0) plus the disagreement penalty factor (k).

## Simulate

Test different weight configurations against historical data:

* Adjust sliders for each model
* See simulated vs current avg score, trade rate, and accuracy
* Compare before committing

## Weight History

Audit trail of all weight changes with timestamp, source (manual/recalibration/simulation), sample size, and the weights at each point.

## Auto-tune

`tune_risk_params` uses half-Kelly sizing from the last 100 outcomes to automatically optimize weights.