Chart & Technical · PG

Strategy Cup Tier for PG

AI-generated plain-English read of strategy cup tier for PG. Updated daily.

Strong tier — statistically validated

low

A solid strategy outperforming buy-and-hold by an unknown margin, with statistical validation and credibility-corrected edge confirmed. A good working strategy with genuine out-of-sample edge.

What will probably happen

  • The strategy's signals are likely to carry directional value going forward — follow them with appropriate position sizing.
  • Walk-forward stability is high — the edge held up across multiple rolling out-of-sample windows, reducing the chance of parameter overfitting.
  • Fewer than 10 trades — a single trade's outcome can dominate the result. Don't trust aggregate statistics from this sample.

What to do

If you HOLD this stock and follow this strategy
Validated edge at a strong tier — continue following the strategy's signals. Expect occasional drawdowns even on confirmed strategies.
If you're EVALUATING whether to use this strategy
Solid edge with validation — a reasonable candidate for live trading. Start at half-size; scale up after the next val window confirms.
If you trade OPTIONS on this strategy's signals
Strategy signals are a reasonable directional anchor for options. Stick to defined-risk structures (verticals, not naked) until the next val window confirms.

Weak credibility profile — fewer than 10 trades — sample is too small.

Technical details

Technical analysis

Cup tier
cup_3 (strong)
Robustness
Stable
Tier grade
Strong
Trade count
8
MC significant
Yes
Sample quality
Thin Sample
Validation window
—
Statistical support
Statistically Validated
Deflated Sharpe Ratio (DSR)
0.870
Delta return vs buy-and-hold
—
Walk-forward stability score
0.94

Key levels

Key price and metric levels
LevelValue
dsr0.87
cup tier3
num trades8
robustness score0.938

Caveats

  • Cup tiers reflect val-window performance. Live forward returns may differ from backtest — even validated strategies have drawdown risk.
  • Fewer than 10 trades — single-trade outcomes can dominate the result. Aggregate statistics (Sharpe, delta_return) are unreliable at this sample size.

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