In a Bullish regime, REGN's strong AIQ Score of 70/100 with Quality base of 74/100 and fading Momentum at 88/100 (Δ0) favors constructive positioning. Sector position sizing matters more than usual in this setup. Action: constructive entry — confirm trend persistence before adding aggressively.
Valuation (52/100) is diverging from Momentum (88/100) and Quality (74/100). REGN's strong momentum and positive signals are running ahead of fundamental value — a setup that has historically required monitoring for mean reversion. Watch for RSI overbought signals as a confirmation trigger.
Quick Stats
REGN's 7-day signal profile is largely stable with AIQ change of +1.0 points and momentum delta of 0.0. Trend delta is +1.00, which helps frame whether the current move is accelerating or fading.
Snapshot: Wed, 15 Jul 2026 00:00:00 GMT. Baseline: 2026-07-07.
| Date | AIQ | Mom | Val | Qual | Risk |
|---|---|---|---|---|---|
| 2026-07-13 | 70 | 88 | 52 | 74 | 66 |
| 2026-07-12 | 70 | 88 | 52 | 74 | 66 |
| 2026-07-11 | 70 | 88 | 52 | 74 | 66 |
| 2026-07-10 | 70 | 88 | 52 | 74 | 66 |
| 2026-07-07 | 69 | 88 | 52 | 74 | 64 |
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REGN (REGN) Stock Analysis
REGN (REGN) has an AIQ Score of 70/100 in a Bullish regime as of Jul 13, 2026. Momentum is strongest at 88/100. Value is weakest at 52/100. The main conflict is that momentum leads at 88/100 while value lags at 52/100.
REGN (REGN) carries an AIQ Score of 70 out of 100, placing it in a bullish signal regime for this snapshot. A mid-range reading typically means component signals are not fully aligned, so interpretation should focus on what is improving versus what is lagging.
Beta is 0.40, implying roughly 60% lower sensitivity than a broad market baseline.
In the latest weekly profile, AIQ has moved +1.0 points over the last 7 days, momentum delta is 0.0, trend delta is +1.00, risk delta is +2.0. This combination is most useful for judging whether signal quality is strengthening or fading into mean reversion.
| Evidence Layer | Public Evidence |
|---|---|
| Regime Context | REGN is in a Bullish AIQ regime with score 70/100. |
| Signal Conflict | The primary conflict is that momentum leads at 88/100 while value lags at 52/100. |
| Factor Evidence | Momentum 88/100 · Value 52/100 · Quality 74/100 · Risk 66/100 |
| Persistence | REGN has scored AIQ 60+ in 12 of the last 60 daily snapshots. 30-day avg: 61/100. 60-day avg: 57/100. |
| Checklist | Status | Evidence |
|---|---|---|
| Factor strength | Pass | Momentum is the strongest factor at 88/100. |
| Timing | Pass | Momentum is 88/100 with 7-day delta 0.0. |
| Regime fit | Pass | REGN is in a Bullish regime at 70/100. |
| Risk control | Wait | Risk factor is 66/100 with beta of 0.40 implies lower sensitivity than the broader market. |
| Conflict | Wait | Current conflict: momentum leads at 88/100 while value lags at 52/100. |
REGN's 7-day signal profile is largely stable with AIQ change of +1.0 points and momentum delta of 0.0. Trend delta is +1.00, which helps frame whether the current move is accelerating or fading.
Signal snapshot as of Wed, 15 Jul 2026 00:00:00 GMT. 7-day comparison baseline: 2026-07-07.
| Metric | Current |
|---|---|
| AIQ Score | 70/100 |
| Price | $759.86 |
| Beta | 0.40 |
REGN vs Technology Peers
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REGN Stock FAQ
What does the REGN AIQ Score mean?
AIQ Score summarizes multiple factors for REGN, including momentum, value, quality, and risk. Higher scores generally indicate stronger combined signals, but you should still validate with your own risk tolerance.
How often is REGN data updated?
REGN quote and scoring components refresh on the platform cadence. Always confirm timestamp freshness on-page before making time-sensitive decisions.
Should I compare REGN with an index before investing?
Yes. Comparing REGN versus benchmarks like SPY or QQQ helps you separate stock-specific strength from broader market moves.
Where can I review deeper REGN fundamentals, technicals, and risk?
Use the Fundamentals, Technicals, and Risk tabs from this page to inspect driver-level metrics behind the headline score.
How the AIQ Score Is Built
Methodology, factor weights, and how to interpret score history
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