ALPS Disruptive Technologies ETF Performance
| DTEC ETF | USD 47.34 0.24 0.51% |
Risk-Adjusted Performance
0High
2 · Soft
Over the last 90 days, ALPS Disruptive Technologies ranks in the bottom 98% of global equities and portfolios on a risk-adjusted return basis. In practice, the ranking separates absolute gains from efficient gains. ALPS Disruptive has generated minimal returns over the measured period, suggesting limited compensation for volatility. Learn More
Relative Risk vs. Return Landscape
If you had invested $ 4,639 in ALPS Disruptive Technologies on February 9, 2026 and sold it today, you would have earned $ 95.00 , a return of 2.05% over 90 days. ALPS Disruptive Technologies is currently generating a 0.0391% daily expected return and carries 1.22% risk (volatility on return distribution) over a 90-day horizon. In relative terms, ALPS Disruptive exhibits above-average volatility, exceeding roughly 90% of comparable etfs, and DTEC has trailed 99% of traded instruments in return over the 90-day horizon. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
Historical pricing patterns in ALPS Disruptive ETF are sometimes evaluated to determine whether current levels appear stretched relative to prior trading behavior. Some ETFs trade persistently above or below historical averages because of structural or sentiment-driven factors.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 47.34 | 90 days | 47.34 | under 4% |
Using a normal distribution model, the likelihood of ALPS Disruptive moving above the current price in 90 days from now is under 4%. Past return patterns over this horizon reflect a distribution that has favored above-current-price scenarios. (The curve shows where outcomes have been clustering for ALPS Disruptive ETF over the next 90 days). The curve width gives a practical read on how much uncertainty surrounds ALPS Disruptive ETF over this horizon.
ALPS Disruptive Price Density |
| Price |
Predictive Modules for ALPS Disruptive
Forecasting ALPS Disruptive requires combining quantitative signals with evolving sentiment and fundamental trends. Each approach has strengths and limitations, making diversified forecasting strategies especially important for ALPS Disruptive.Mean reversion is the tendency of ALPS Disruptive's price to return to its historical average after periods of extreme deviation. Some analysts monitor this tendency by comparing ALPS Disruptive's price extremes to fundamental value.
Primary Risk Indicators
Over the past two decades, the ETF market has experienced significant volatility affecting ALPS Disruptive. ALPS Disruptive has seen dramatic price moves that have reshaped risk profiles for its holders.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | 0.91 | |
σ | Overall volatility | 1.23 | |
Ir | Information ratio | 0.05 |
Investor Alerts and Insights
Targeted alerts for ALPS Disruptive provide the responsiveness needed to track NAV changes and holdings shifts. These notifications for ALPS Disruptive help investors make timely decisions in response to significant ETF events.| Latest headline from news.google.com: 2 growing ASX ETFs for Aussie investors to buy in 2026 - The Motley Fool Australia |
ALPS Disruptive Fundamentals Growth
The market price of ALPS Disruptive ETF is shaped by investors' expectations for ALPS Disruptive's financial performance. Revenue and earnings trends, operating margins, and capital structure decisions all play a role in ALPS Disruptive ETF pricing.
Performance Metrics & Calculation Methodology
Drawdown and recovery analysis for ALPS Disruptive reveals how the fund behaves during stress episodes and subsequent rebounds. Maximum drawdown depth defines the worst observed loss from peak, framing downside exposure.
ALPS Disruptive Technologies inputs come from fund disclosures and market reference feeds and are mapped into a consistent reporting framework. Return and risk statistics are calculated from historical price series.
Editorial review and methodology oversight provided by: Rifka Kats, Member of Macroaxis Editorial Board