Strategy case study

Rsi Mean Reversion on HON

Historical context for Rsi Mean Reversion on HON 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.
Asset HON
Strategy family Rsi Mean Reversion
1 month return -9.72%
90 day volatility 24.52%

Market Regime

Rsi Mean Reversion on HON is rendered against the current asset snapshot: 1 month return -9.72% and 90 day volatility 24.52%.

The strategy context is a negative one-month return regime with a moderate volatility regime, aligned to the same fact-card values shown above.

Historical Pattern

Historical analysis of mean reversion strategies highlights how performance boundaries shift during specific regime transitions. For example, in a population of 4,973 historical scenarios where a bear market continued into another bear market, the strategy's parameters were evaluated for their proximity to different outcomes, revealing a mean counterfactual distance of 0.9326. In these specific situations, the analysis isolated instances where the strategy was at risk of excessive drawdown. In a separate historical population of 728 simulations operating in a chop-to-chop regime transition, the strategy parameters were located in a region where the historical simulations avoided the excessive drawdown failure mode, resulting in a rescue share of 1.0. Similarly, analysis of 896 historical simulations transitioning from a high-volatility regime to a chop regime showed a mean counterfactual distance of 1.4897.

Workflow Pointer

This surface visualizes performance boundaries to help you understand the strategy's sensitivity to specific market conditions. By examining the mean counterfactual distance, you can observe the average magnitude of parameter adjustment that would have been required to alter the outcome in past scenarios. You can review the detailed reports to see the specific parameter adjustments that were modeled in these historical environments. Use this view to understand how the Rsi Mean Reversion strategy's current parameterization has historically responded to persistent market conditions or specific regime shifts.