Market Regime
MSFT's current market snapshot shows last close 415.12, 1 month return 11.27%, 90 day volatility 32.31%, and drawdown from ATH -23.42%.
The regime framing is a positive one-month return regime with an elevated volatility regime, rendered from the same fact-card values shown above.
Historical Pattern
Historical data illustrates how equity strategies respond to specific regime transitions, particularly those involving elevated volatility. In a population of 4311 historical scenarios where the market shifted from high volatility to a bull regime, mean reversion strategies exhibited a mean counterfactual distance of 1.0602, with a rescue share of 1.0 indicating a consistent parameter adjustment response to market pressure. Conversely, when transitioning from high volatility to a crisis regime, mean reversion strategies showed a mean counterfactual distance of 0.8859 across 6961 scenarios, requiring intervention to prevent excessive drawdown. For momentum strategies transitioning from a crisis to a bull market, a mean counterfactual distance of 0.9231 was observed across 4973 scenarios, demonstrating how close successful outcomes can be to failure boundaries during regime shifts. When high volatility persists without transitioning to a lower volatility state, strategies operating near performance boundaries have historically remained in the high volatility regime across 100% of 332 observed examples.
Workflow Pointer
You can review these regime transition strategy explainers across the ticker page, strategy pages, and correlation pages to understand how specific market shifts affect stability. The mean counterfactual distance metric quantifies how much a strategy's parameters would need to change to reach a failure point, such as excessive drawdown. Use this information to evaluate historical robustness and understand the environmental stress placed on a strategy during transitions between high volatility, crisis, and positive trend regimes. Consult the methodology section for further details on how boundary transitions and rescue shares are calculated for the Technology sector.