Methodology note

Permabulls methodology

Historical context for Permabulls methodology from Permabulls.

Updated: 2026-05-09 Research-backed No recommendations
Historical analysis only. This page explains context and workflow, not asset selection, timing, sizing, or portfolio changes.
Model lock Gemini 3.1 Pro
SKU whitelist Unavailable
Page families Unavailable
Advice policy Explain only

Market Regime

The Permabulls methodology evaluates strategy cohorts across various asset classes and volatility environments, including trend, chop, and crisis conditions. The framework categorizes historical performance to identify how specific parameter sets behave under different market classifications, utilizing a whitelist of 6 SKUs across 5 generated page families.

Historical Pattern

Historical backtests reveal specific failure modes across different cohorts. For instance, in a sample of 278 evaluations, the dominant failure mode was inactivity, with a 0.6149 probability of failing to meet the minimum threshold for position entries. In other cohorts, excessive drawdown was the primary limitation. A 260-sample group showed an 0.8994 probability of excessive drawdown, a 56-sample group showed a 0.9685 probability, and a 90-sample group experienced a 1.0 probability of exceeding predefined drawdown limits. Across these specific evaluated groups, the observed survival rate was 0.0%.

Workflow Pointer

This methodology surfaces specific risk profiles and failure modes to clarify why certain strategy parameters receive a rejected verdict. For example, identifying a low transaction count indicates that there is insufficient activity to reliably assess performance or risk characteristics. Users can review these deterministic outputs to understand the historical limitations of a given cohort and frame the next steps in the product workflow.