TYO

EXP-000202

EVERGREEN — 70/30 split stability of the monthly profile

Accepted Stability Research source: Hybrid 20 Aug 2026
System
EVERGREEN

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 168 of 241.

Before / After

Before

Period
2003-08 → 2018-08
Months
168
Positive months
85.71%
Mean monthly return
0.85%
Worst month
-21.47%

After

Period
2018-09 → 2025-08
Months
73
Positive months
84.93%
Mean monthly return
0.48%
Worst month
-3.53%

Difference

Positive months -0.78pp Mean monthly return -0.37pp Worst month +17.94pp

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 (0.48%) and its positive-month share (84.93%) stayed within 10pp of the early window (85.71%).

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.