In a Neutral regime, XME's AIQ Score of 49/100 with Quality base of 63/100 and accelerating Momentum at 36/100 (Δ+12) signals mixed conviction. Wait for component alignment before adding exposure. Watch momentum trend for confirmation or fading.
Quality (63/100) leads while Momentum (36/100) lags. This cross-factor spread creates entry timing uncertainty. Wait for the lagging factor to begin recovering before adding aggressively.
Quick Stats
XME's 7-day signal profile is improving with AIQ change of +4.0 points and momentum delta of +12.0. Trend delta is +4.00, which helps frame whether the current move is accelerating or fading.
Snapshot: Sun, 26 Jul 2026 00:00:00 GMT. Baseline: 2026-07-17.
| Date | AIQ | Mom | Val | Qual | Resilience |
|---|---|---|---|---|---|
| 2026-07-26 | 49 | 36 | — | 63 | 44 |
| 2026-07-18 | 47 | 24 | — | 68 | 43 |
| 2026-07-12 | 46 | 23 | — | 68 | 41 |
| 2026-07-05 | 44 | 21 | — | 68 | 34 |
| 2026-06-28 | 44 | 22 | — | 69 | 31 |
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State Street SPDR S&P Metals & Mining ETF (XME) Stock Analysis
State Street SPDR S&P Metals & Mining ETF (XME) has an AIQ Score of 49/100 in a Neutral regime as of Jul 26, 2026. Quality is strongest at 63/100. Momentum is weakest at 36/100. The main conflict is that quality leads at 63/100 while momentum lags at 36/100.
State Street SPDR S&P Metals & Mining ETF (XME) carries an AIQ Score of 49 out of 100, placing it in a mixed 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 1.40, implying roughly 40% higher sensitivity than a broad market baseline. Sharpe ratio is 0.79 (moderate), which frames recent return efficiency versus risk.
In the latest weekly profile, AIQ has moved +4.0 points over the last 7 days, momentum delta is +12.0, trend delta is +4.00, risk delta is +1.0. This combination is most useful for judging whether signal quality is strengthening or fading into mean reversion.
| Evidence Layer | Public Evidence |
|---|---|
| Regime Context | XME is in a Neutral AIQ regime with score 49/100. |
| Signal Conflict | The primary conflict is that quality leads at 63/100 while momentum lags at 36/100. |
| Factor Evidence | Momentum 36/100 · Quality 63/100 · Risk 44/100 |
| Persistence | XME has scored AIQ 60+ in 7 of the last 60 daily snapshots. 30-day avg: 46/100. 60-day avg: 51/100. |
| Checklist | Status | Evidence |
|---|---|---|
| Factor strength | Wait | Quality is the strongest factor at 63/100. |
| Timing | Fail | Momentum is 36/100 with 7-day delta +12.0. |
| Regime fit | Wait | XME is in a Neutral regime at 49/100. |
| Risk control | Wait | Risk factor is 44/100 with beta of 1.40 indicates above-market sensitivity. |
| Conflict | Wait | Current conflict: quality leads at 63/100 while momentum lags at 36/100. |
XME's 7-day signal profile is improving with AIQ change of +4.0 points and momentum delta of +12.0. Trend delta is +4.00, which helps frame whether the current move is accelerating or fading.
Signal snapshot as of Sun, 26 Jul 2026 00:00:00 GMT. 7-day comparison baseline: 2026-07-17.
| Metric | Current |
|---|---|
| AIQ Score | 49/100 |
| Price | $101.74 |
| Sharpe Ratio | 0.79 |
| Beta | 1.40 |
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XME Stock FAQ
What does the XME AIQ Score mean?
AIQ Score summarizes multiple factors for XME, 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 XME data updated?
XME quote and scoring components refresh on the platform cadence. Always confirm timestamp freshness on-page before making time-sensitive decisions.
Should I compare XME with an index before investing?
Yes. Comparing XME versus benchmarks like SPY or QQQ helps you separate stock-specific strength from broader market moves.
Where can I review deeper XME 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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