Market Regime
The Strategy Lab methodology isolates specific market conditions to evaluate performance across various volatility environments. The system categorizes environments into distinct transitions, such as a sustained crisis-to-crisis period, a persistent chop environment, a high volatility to bear market transition, or a sideways to sideways regime. This framework helps contextualize how a strategy operates within defined market stresses and volatility states.
Historical Pattern
The methodology analyzes historical occurrences to quantify strategy robustness. Across 5 generated page families and a whitelist count of 6, the system evaluates populations of historical simulations, such as 332 occurrences of a crisis-to-crisis transition or 9280 occurrences in a chop environment. The analysis utilizes metrics like the mean counterfactual distance, which measures how far a strategy's parameters were from a more resilient configuration or how much a parameter would need to change to alter the outcome. Distances observed include 1.1802, 2.1495, 2.8528, 0.8843, and 0.9797. Additionally, the rescue share metric, often observed at 1.0, indicates instances where the system's rescue mechanism corrected a dominant failure mode, such as excessive drawdown, across populations of 5302, 5963, or 5631 historical scenarios.
Workflow Pointer
Use this surface to understand a strategy's historical performance patterns and its dependence on rescue mechanisms during specific market conditions. The methodology highlights how frequently and by what magnitude the system adjusted parameters to manage drawdown risk. By reviewing these deterministic surfaces, users can assess historical robustness within a specific market context and understand behavior during prolonged periods of market stress.