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 none +4.7%
- Regression 252d triggered -0.8%
- Regression 504d none +19.7%
- Pivot cluster triggered +1.1%
- SMA-200 triggered +0.8%
AZN: 3/5 confluence filters active. Mid-term regression band, pivot cluster and SMA-200 triggered. Regime: 🟡 partial.
- Regression 126d near +2.5%
- Regression 252d near +0.7%
- Regression 504d none +16.2%
- Pivot cluster triggered -0.7%
- SMA-200 triggered +0.4%
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 +12.6%
- Regression 252d triggered -0.8%
- Regression 504d triggered -16.2%
- Pivot cluster none -6.6%
- SMA-200 none -46.7%
INTU: 2/5 confluence filters active. Mid-term regression band and long-term regression band triggered. Regime: 🟢 interpretable.
- Regression 126d none +7.6%
- Regression 252d near +1.8%
- Regression 504d triggered -0.4%
- Pivot cluster triggered +0.8%
- SMA-200 none -7.2%
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 +12.1%
- Regression 252d near +0.3%
- Regression 504d triggered -0.4%
- Pivot cluster triggered -0.5%
- SMA-200 none -11.9%
NOC: 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 near +2.7%
- Regression 252d triggered -0.4%
- Regression 504d none +3.7%
- Pivot cluster near +2.5%
- SMA-200 none +4.8%
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 +17.1%
- Regression 252d none +11.0%
- Regression 504d triggered -2.6%
- Pivot cluster triggered -0.1%
- SMA-200 none -19.0%
PLTR: 2/5 confluence filters active. Long-term regression band and pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +12.6%
- Regression 252d none +9.9%
- Regression 504d none +7.9%
- Pivot cluster triggered +0.3%
- SMA-200 near -1.9%
V: 1/5 confluence filters active, 1 more approaching. Pivot cluster triggered. SMA-200 within reach. Regime: 🟡 partial.
- Regression 126d none +7.5%
- Regression 252d none +5.1%
- Regression 504d near +1.4%
- Pivot cluster triggered -1.2%
- SMA-200 none -8.9%
MA: 1/5 confluence filters active, 1 more approaching. Pivot cluster triggered. Long-term regression band within reach. Regime: 🟡 partial.
- Regression 126d none +14.9%
- Regression 252d none +5.5%
- Regression 504d none +25.0%
- Pivot cluster triggered +0.1%
- SMA-200 near -1.5%
LMT: 1/5 confluence filters active, 1 more approaching. Pivot cluster triggered. SMA-200 within reach. Regime: 🔴 noise.
- Regression 126d none +3.8%
- Regression 252d none +6.3%
- Regression 504d none +32.8%
- Pivot cluster triggered -1.4%
- SMA-200 none +13.9%
XOM: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +21.6%
- Regression 252d none +16.3%
- Regression 504d none —
- Pivot cluster triggered +1.5%
- SMA-200 none +59.6%
LRCX: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +3.6%
- Regression 252d none +10.6%
- Regression 504d none +155.3%
- Pivot cluster triggered -0.8%
- SMA-200 none +65.0%
COHR: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +13.4%
- Regression 252d none +5.6%
- Regression 504d none +41.1%
- Pivot cluster triggered -0.7%
- SMA-200 none +16.4%
GOOGL: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +10.1%
- Regression 252d none +3.2%
- Regression 504d none +22.9%
- Pivot cluster triggered -0.4%
- SMA-200 none +12.0%
JNJ: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +47.9%
- Regression 252d none +73.1%
- Regression 504d none +271.0%
- Pivot cluster triggered -0.9%
- SMA-200 none +103.7%
INTC: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🟡 partial.
- Regression 126d none +110.6%
- Regression 252d none +92.3%
- Regression 504d none +59.3%
- Pivot cluster triggered +0.9%
- SMA-200 none +17.0%
SNOW: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +7.0%
- Regression 252d none +10.0%
- Regression 504d none —
- Pivot cluster triggered +1.2%
- SMA-200 none +6.0%
NVDA: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +56.2%
- Regression 252d none +51.4%
- Regression 504d none +56.3%
- Pivot cluster triggered -1.5%
- SMA-200 none +16.5%
QCOM: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +12.3%
- Regression 252d none +9.4%
- Regression 504d none +4.9%
- Pivot cluster triggered +0.7%
- SMA-200 none -11.0%
HD: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +38.6%
- Regression 252d none +139.7%
- Regression 504d none +245.5%
- Pivot cluster triggered +1.2%
- SMA-200 none +102.5%
STM: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +5.8%
- Regression 252d none +6.1%
- Regression 504d none +8.4%
- Pivot cluster triggered +1.4%
- SMA-200 none -3.5%
SNY: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +17.5%
- Regression 252d none +9.9%
- Regression 504d none +4.5%
- Pivot cluster triggered -1.1%
- SMA-200 none -8.5%
UL: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d none +17.8%
- Regression 252d none +55.9%
- Regression 504d none +74.4%
- Pivot cluster triggered -0.1%
- SMA-200 none +36.8%
TXN: 1/5 confluence filters active. Pivot cluster triggered. Regime: 🔴 noise.
- Regression 126d near +2.1%
- Regression 252d none +9.3%
- Regression 504d none +9.7%
- Pivot cluster near -2.1%
- SMA-200 near +3.0%
COST: 0/5 confluence filters active, 3 more approaching. Short-term regression band, pivot cluster and SMA-200 within reach. Regime: 🔴 noise.
- Regression 126d none +3.8%
- Regression 252d none +6.5%
- Regression 504d near +0.3%
- Pivot cluster near +1.8%
- SMA-200 none -13.4%
META: 0/5 confluence filters active, 2 more approaching. Long-term regression band and pivot cluster within reach. Regime: 🔴 noise.
- Regression 126d none +11.6%
- Regression 252d none +11.1%
- Regression 504d none +10.7%
- Pivot cluster near -1.9%
- SMA-200 near +1.1%
PG: 0/5 confluence filters active, 2 more approaching. Pivot cluster and SMA-200 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