Pattern Engine · Support Confluence
Support Confluence scan.
Live pattern-hit feed, refreshed after every US close. Each signal fires when a name clears the multi-filter confluence gate — regression bands, pivot clusters, SMA context. Regime classification sits on top so you know whether a "triggered" signal is in a trend-following or mean-reverting environment.
- Regression 126d near +2.6%
- Regression 252d triggered -2.7%
- Regression 504d none +17.7%
- Pivot cluster triggered -0.7%
- SMA-200 triggered -1.0%
AZN: 3/5 confluence filters active, 1 more approaching. Mid-term regression band, pivot cluster and SMA-200 triggered. Short-term regression band within reach. Regime: 🟡 partial.
- Regression 126d near +2.7%
- Regression 252d near +1.0%
- Regression 504d none +16.8%
- Pivot cluster triggered -0.3%
- SMA-200 triggered +0.8%
PFE: 2/5 confluence filters active, 2 more approaching. Pivot cluster and SMA-200 triggered. Short-term regression band and mid-term regression band within reach. Regime: 🟡 partial.
- Regression 126d none +7.3%
- Regression 252d near +1.5%
- Regression 504d triggered -0.6%
- Pivot cluster triggered +0.7%
- SMA-200 none -7.3%
MCD: 2/5 confluence filters active, 1 more approaching. Long-term regression band and pivot cluster triggered. Mid-term regression band within reach. Regime: 🔴 noise.
- Regression 126d none +12.2%
- Regression 252d none +4.9%
- Regression 504d triggered -0.3%
- Pivot cluster triggered -0.7%
- SMA-200 none -12.6%
UL: 2/5 confluence filters active. Long-term regression band and pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +15.6%
- Regression 252d none +6.5%
- Regression 504d none +26.2%
- Pivot cluster triggered +1.1%
- SMA-200 triggered -0.4%
LMT: 2/5 confluence filters active. Pivot cluster and SMA-200 triggered. Regime: 🔴 noise.
- Regression 126d near +1.5%
- Regression 252d triggered -1.1%
- Regression 504d none +3.1%
- Pivot cluster near +1.8%
- SMA-200 none +4.3%
WMT: 1/5 confluence filters active, 2 more approaching. Mid-term regression band triggered. Short-term regression band and pivot cluster within reach. Regime: 🟡 partial.
- Regression 126d none +18.5%
- Regression 252d none +12.2%
- Regression 504d triggered -1.7%
- Pivot cluster triggered +1.3%
- SMA-200 none -17.9%
PLTR: 2/5 confluence filters active. Long-term regression band and pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +15.3%
- Regression 252d near +1.5%
- Regression 504d triggered -14.1%
- Pivot cluster none -3.5%
- SMA-200 none -45.1%
INTU: 1/5 confluence filters active, 1 more approaching. Long-term regression band triggered. Mid-term regression band within reach. Regime: 🟢 interpretable.
- Regression 126d none +11.4%
- Regression 252d none +8.8%
- Regression 504d none +6.7%
- Pivot cluster triggered -0.8%
- SMA-200 near -3.0%
V: 1/5 confluence filters active, 1 more approaching. Pivot cluster triggered. SMA-200 within reach. Regime: 🟡 partial.
- Regression 126d near +0.4%
- Regression 252d none +7.8%
- Regression 504d none +8.0%
- Pivot cluster triggered +0.9%
- SMA-200 near +1.5%
COST: 1/5 confluence filters active, 2 more approaching. Pivot cluster triggered. Short-term regression band and SMA-200 within reach. Regime: 🔴 noise.
- Regression 126d none +8.7%
- Regression 252d none +6.3%
- Regression 504d near +2.5%
- Pivot cluster triggered +0.1%
- SMA-200 none -7.8%
MA: 1/5 confluence filters active, 1 more approaching. Pivot cluster triggered. Long-term regression band within reach. Regime: 🟡 partial.
- Regression 126d none +9.4%
- Regression 252d near +2.6%
- Regression 504d none +22.3%
- Pivot cluster triggered -1.0%
- SMA-200 none +11.5%
JNJ: 1/5 confluence filters active, 1 more approaching. Pivot cluster triggered. Mid-term regression band within reach. Regime: 🟡 partial.
- Regression 126d none +12.8%
- Regression 252d near +1.1%
- Regression 504d near +0.7%
- Pivot cluster triggered +0.3%
- SMA-200 none -10.8%
NOC: 1/5 confluence filters active, 2 more approaching. Pivot cluster triggered. Mid-term regression band and long-term regression band within reach. Regime: 🔴 noise.
- Regression 126d none +22.3%
- Regression 252d none +13.4%
- Regression 504d none +10.5%
- Pivot cluster triggered +0.4%
- SMA-200 none -20.8%
ADBE: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +11.3%
- Regression 252d none +10.9%
- Regression 504d none +10.4%
- Pivot cluster near -2.2%
- SMA-200 triggered +0.8%
PG: 1/5 confluence filters active, 1 more approaching. SMA-200 triggered. Pivot cluster within reach. Regime: 🔴 noise.
- Regression 126d none +28.0%
- Regression 252d none +20.2%
- Regression 504d none +11.7%
- Pivot cluster triggered +0.8%
- SMA-200 none -19.5%
SAP: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +11.7%
- Regression 252d none +6.6%
- Regression 504d none +17.0%
- Pivot cluster triggered +1.2%
- SMA-200 near -2.1%
PHG: 1/5 confluence filters active, 1 more approaching. Pivot cluster triggered. SMA-200 within reach. Regime: 🔴 noise.
- Regression 126d none +4.4%
- Regression 252d none +11.6%
- Regression 504d none +157.7%
- Pivot cluster triggered -0.5%
- SMA-200 none +66.5%
COHR: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +19.1%
- Regression 252d none +15.6%
- Regression 504d none +8.4%
- Pivot cluster triggered -0.6%
- SMA-200 none -11.2%
MSFT: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +24.9%
- Regression 252d none +13.8%
- Regression 504d none +11.6%
- Pivot cluster triggered -1.0%
- SMA-200 none -19.9%
CRM: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +4.0%
- Regression 252d none +7.3%
- Regression 504d none +34.2%
- Pivot cluster triggered -0.7%
- SMA-200 none +15.1%
XOM: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +8.0%
- Regression 252d none +21.2%
- Regression 504d none +62.3%
- Pivot cluster triggered +1.2%
- SMA-200 none +33.2%
ADI: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +105.6%
- Regression 252d none +188.2%
- Regression 504d none +321.4%
- Pivot cluster triggered +1.3%
- SMA-200 none +153.0%
MRVL: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +51.6%
- Regression 252d none +76.2%
- Regression 504d none +277.6%
- Pivot cluster triggered -0.1%
- SMA-200 none +107.0%
INTC: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +112.7%
- Regression 252d none +92.8%
- Regression 504d none +60.2%
- Pivot cluster triggered +1.2%
- SMA-200 none +17.5%
SNOW: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +42.4%
- Regression 252d none +39.6%
- Regression 504d none +51.2%
- Pivot cluster triggered +0.7%
- SMA-200 none -10.7%
NVO: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +11.3%
- Regression 252d none +14.4%
- Regression 504d none —
- Pivot cluster triggered +0.1%
- SMA-200 none +10.2%
NVDA: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +69.2%
- Regression 252d none +63.0%
- Regression 504d none +68.3%
- Pivot cluster triggered -0.8%
- SMA-200 none +25.3%
QCOM: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +13.0%
- Regression 252d none +10.1%
- Regression 504d none +5.5%
- Pivot cluster triggered +1.4%
- SMA-200 none -10.4%
HD: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +6.7%
- Regression 252d none +6.8%
- Regression 504d none +9.1%
- Pivot cluster near +2.1%
- SMA-200 near -2.9%
SNY: 0/5 confluence filters active, 2 more approaching. Pivot cluster and SMA-200 within reach. Regime: 🔴 noise.
- Regression 126d none +6.0%
- Regression 252d none +8.8%
- Regression 504d near +2.5%
- Pivot cluster near -1.5%
- SMA-200 none -11.5%
META: 0/5 confluence filters active, 2 more approaching. Long-term regression band and pivot cluster within reach. Regime: 🔴 noise.
How the scanner reads
Step 1 is the interpretability grid — every instrument is classified by Hurst exponent, 252-day R², autocorrelation, and a short-vs-mid-term stationarity score. That produces a regime label (🟢 trending / 🟡 mixed / 🔴 mean-reverting) which contextualises any pattern hit.
Step 2 is the confluence pattern: five filters evaluated per day per instrument — 126-day regression band, 252-day regression band, 504-day regression band, pivot-cluster proximity, and SMA-200 status. A signal fires when at least two filters are triggered or at least four are "near" — the count is the confluence confidence.
Scope is intentionally narrow: one pattern, one regime grid, ~50 names. Interpretability before breadth. More patterns follow once this one proves out.
Related
- → Support Confluence methodology — filter definitions + confluence-confidence math.
- → Sector RS scan — sector-level rotation context.
- → Regime Signature scan — universe-wide regime quadrants.
- ← All Pattern Engine surfaces