Chart & Technical · AMT

Strategy Cup Tier for AMT

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

Marginal tier — no validation

low

A marginal edge (an unknown margin) with no statistical backing. This combination (small cup-2 grade + no validation) offers little reason to prefer this over buy-and-hold.

What will probably happen

  • Marginal cup-2 edge: the strategy has some alpha but it may not survive real-world costs. Use only in combination with other filters.
  • 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
Marginal edge — keep position size small. This is a background strategy, not a core holding.
If you're EVALUATING whether to use this strategy
Marginal cup-2 grade — don't allocate real capital. The edge is too small to clear transaction costs reliably.
If you trade OPTIONS on this strategy's signals
Marginal cup-2 strategies are too noisy to anchor options trades. Avoid using signals as a primary directional bias.

Weak credibility profile — no MC significance or DSR support; fewer than 10 trades — sample is too small.

Technical details

Technical analysis

Cup tier
cup_2 (marginal)
Robustness
Stable
Tier grade
Marginal
Trade count
5
MC significant
No
Sample quality
Thin Sample
Validation window
—
Statistical support
No Validation
Deflated Sharpe Ratio (DSR)
0.381
Delta return vs buy-and-hold
—
Walk-forward stability score
0.76

Key levels

Key price and metric levels
LevelValue
dsr0.381
cup tier2
num trades5
robustness score0.756

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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