TYO

EXP-000210

MIRUMO — 70/30 split stability of the monthly profile

Accepted Stability Research source: Hybrid 20 Aug 2026
System
MIRUMO

Hypothesis

The monthly return profile of the first 70% of the backtest (positive-month share, mean monthly return) persists in the final 30%.

Controlled change

No change to the system. Deterministic analysis over the extracted monthly series; decision rule fixed before computation.

Dataset & conditions

Extracted monthly returns, chronological 70/30 split at month 137 of 197.

Before / After

Before

Period
2003-05 → 2018-03
Months
137
Positive months
88.32%
Mean monthly return
1.23%
Worst month
-17.35%

After

Period
2018-06 → 2026-02
Months
60
Positive months
90%
Mean monthly return
0.93%
Worst month
-2%

Difference

Positive months +1.68pp Mean monthly return -0.3pp Worst month +15.35pp

Validation

Out-of-sample, walk-forward, Monte Carlo and forward results are shown only where they exist as data. None exist for this entry.

Decision

Accepted

Late window kept a positive mean month (0.93%) and its positive-month share (90%) stayed within 10pp of the early window (88.32%).

AI involvement

Model
Claude (Anthropic)
What AI did
Authored the split-analysis tooling. The 70/30 split and the decision rule were fixed by a human before any run.
Human review
Reviewed and approved by a human

AI-assisted entries are published only after human review; entries generated by AI without that review are withheld by the build pipeline. AI does not predict markets, and no entry claims otherwise.

Notes

Not out-of-sample validation: the optimisation window of this system is undocumented, so the late 30% may have been seen during tuning. This is a stability check on the recorded equity path.

Backtest improvement does not imply future improvement. The more experiments run, the more likely some succeed by chance — this log exists partly so that multiple-testing risk stays visible instead of hidden.