Historical Twins — Setups Parameter

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What are Historical Twins (Setups)?

Historical Twins (shown as “Setups” or “Setups DD” in the DCMM dashboard) are the statistical foundation of the QDSF Engine. A “Setup” is a historical market situation where a given stock exhibited the same or very similar combination of parameters as it does today — specifically the same Drawdown Cycle stage (DD value) and similar price action conditions.

The Core Idea

Markets are not random — they exhibit repeating behavioral patterns, especially in high-liquidity institutional stocks. When a stock is in a DD=3 cycle today, with similar volatility and similar market regime conditions, the QDSF Engine searches its historical database for all past occurrences where the same stock was in a DD=3 cycle under similar conditions.

These past occurrences are called Historical Twins. By examining what happened after each of these historical twins (over the next 1, 2, 3, 4, and 5 sessions), DCMM builds a precise probability distribution of possible future outcomes.

Setup Count (Setups DD)

The Setups (DD) column shows the total number of historical twins found for the current DD stage of each ticker. This is a critical quality indicator:

  • 20+ setups — High statistical confidence. The probability estimates are reliable.
  • 10–20 setups — Moderate confidence. Results are directionally reliable.
  • Below 10 setups — Limited data. Treat with caution; probabilities may not be stable.

Setups (2↓) and (3↓)

The DCMM dashboard also shows filtered setup counts:

  • Setups (2↓) — Historical twins where the stock subsequently declined for at least 2 more sessions. Used to assess downside risk.
  • Setups (3↓) — Historical twins with 3+ consecutive down sessions following the setup. Extreme caution indicator.

ΣH+1 through ΣH+5: The Probability Matrix

For each set of historical twins, DCMM calculates the percentage of cases where the stock was above its current price after N sessions:

  • ΣH+1 (≥1%) — % of historical twins where the stock gained ≥1% by next session
  • ΣH+2 (≥1%) — % of historical twins where the stock gained ≥1% by session +2
  • ΣH+3, H+4, H+5 — Same for sessions +3 through +5

Multiple threshold variants are calculated: ≥1%, ≥2%, ≥3%, ≥4%, ≥5% — giving a full picture of the return distribution from historical twins.

Max+1 and Max+2: Maximum Gain Potential

The max+1 (100%) column shows the average maximum price reached at any point during session +1 (relative to entry), across all historical twins. The max+1 (90%) column shows the 90th percentile of this maximum, providing a more conservative estimate of the potential upside.

Why This Approach Works

Traditional technical analysis looks at chart patterns and indicators. DCMM’s Historical Twins approach is different — it directly answers the question: “In the past, when this exact stock was in this exact situation, what happened next?” This is a data-driven, evidence-based methodology that eliminates subjective interpretation and provides actionable probability estimates with quantifiable confidence levels.

Practical Application

When reviewing the DCMM dashboard, focus on tickers with:

  • High setup count (20+) for statistical reliability
  • Strong ΣH+1 ≥1% (above 50%) indicating a majority of historical cases resulted in next-day recovery
  • Growing probability from H+1 to H+5, showing the setup tends to resolve positively over multiple sessions

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