Temporal Analysis & Behavioural Regimes
Why does BetMirror analyse time separately?#
A betting strategy is rarely static.
Execution quality, behavioural discipline, market interaction and profitability often evolve gradually over months or years.
Looking only at lifetime averages can hide important structural changes.
Temporal analysis exists to reveal how the strategy develops across its own history.
Behavioral Trajectory#
Behavioral Trajectory compares the earlier and later portions of the betting history.
Rather than asking whether the strategy is profitable, it asks whether its structural characteristics are improving, remaining stable or deteriorating over time.
Typical comparisons include:
- Yield
- Drawdown
- Stake variance
- Behavioural consistency
The objective is to identify gradual structural drift that lifetime averages cannot reveal.
Behavioral Regimes#
Behavioral Regimes divide the betting history into consecutive phases with similar behavioural characteristics.
Each regime represents a period during which the strategy behaved in a relatively consistent manner.
Examples include:
- Stable Growth
- Recovery Cycle
- Flat
- Contraction
These labels describe historical behaviour only. They should never be interpreted as forecasts of future phases.
Temporal Evolution#
Temporal Evolution compares the first half of the betting history with the second half.
Unlike Behavioral Regimes, which identify multiple distinct phases, Temporal Evolution provides a broad long-term comparison between earlier and more recent behaviour.
The module highlights structural shifts such as:
- improving execution;
- weakening market edge;
- narrowing profitability;
- stabilising behaviour;
- increasing concentration.
Its purpose is to describe long-term direction rather than short-term fluctuations.
Drift Velocity#
Drift Velocity examines how the market edge evolves across four chronological segments of the betting history.
Unlike Edge Persistence, which compares today's edge against its historical baseline, Drift Velocity evaluates the direction and pace of structural change.
Possible classifications include:
- Accelerating
- Decelerating
- Stable
- Pullback
- Oscillating
- Volatile
- Structural Reversal
These classifications describe how the edge evolves through time rather than whether it currently exists.
Why can Temporal Evolution and Drift Velocity tell different stories?#
Because they measure different behavioural dimensions.
Temporal Evolution compares broad historical periods.
Drift Velocity evaluates the pattern of movement between consecutive chronological segments.
One module describes long-term behavioural direction.
The other describes how quickly that direction is changing.
Used together, they provide a more complete picture of structural evolution than either module could provide alone.