ALPS ETF Trust ETF Performance
| SMTH ETF | 25.79 -0.07 -0.27% |
Risk-Adjusted Performance
0100
0 · Weak
Across the most recent 90-day window, ALPS ETF Trust produced returns that did not compensate for the risk absorbed. Return efficiency below zero signals that holders have absorbed volatility without adequate compensation. ALPS ETF is delivering weak return efficiency relative to its risk profile, with recent data suggesting continued pressure on shareholder returns. Learn More
Relative Risk vs. Return Landscape
If you had invested $ 2,583 in ALPS ETF Trust on February 6, 2026 and sold it today, you would have lost $ 4.50 , a decline of 0.17% over 90 days. ALPS ETF Trust does not currently generate positive expected returns and carries 0.2659% risk (volatility on return distribution) over a 90-day horizon. In relative terms, ALPS ETF exhibits above-average volatility, exceeding roughly 98% of comparable etfs, and SMTH has trailed 99% of traded instruments in return over the 90-day horizon. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
A fundamental principle of ETF forecasting is that prices tend to revert toward historical averages. This pattern serves as a foundation for forecasting, even though some ETFs exhibit persistent deviations. One possible explanation is that these ETFs carry additional risk requiring compensation through extra returns.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 25.79 | 90 days | 25.79 | about 62.27 % |
According to our probability model, the chance of ALPS ETF moving above the current price in 90 days from now is about 62.27 %. Based on past return behavior, the distribution of outcomes has been weighted above current levels over this period. (This distribution highlights the price region that has carried the highest probability weight for ALPS ETF ETF over a 90-day horizon).
ALPS ETF Price Density |
| Price |
Predictive Modules for ALPS ETF
Forecasting ALPS ETF Trust involves applying various models to estimate future ETF price behavior. Despite uncertainty, systematic forecasting provides investors with structured context for evaluating ALPS ETF Trust. Comparing results across methods can improve accuracy, even in unpredictable ETF markets.The concept of mean reversion suggests that ALPS ETF's price will eventually return toward its long-run average. Positions sized too aggressively against the trend often suffer sustained losses before reversion occurs in ALPS ETF. The mean reversion framework for ALPS ETF is built on the premise that markets are not perfectly efficient.
Primary Risk Indicators
Market volatility over the last 10-20 years has created both risk and opportunity across ETF markets including ALPS ETF. The pattern of corrections and recoveries in ALPS ETF mirrors the broader ETF market experience. Implementing a hedging strategy and tracking ALPS ETF's volatility limits the impact of adverse moves.α | Alpha over Dow Jones | -0.0159 | |
β | Beta against Dow Jones | 0.13 | |
σ | Overall volatility | 0.16 | |
Ir | Information ratio | -0.0951 |
Investor Alerts and Insights
Real-time alerts for ALPS ETF track important ETF developments as they happen. Notifications for ALPS ETF Trust highlight significant technical and fundamental shifts that may signal emerging risks. Each alert is generated from real-time data feeds monitoring ALPS ETF price action and volume.| ALPS ETF Trust generated a negative expected return over the last 90 days |
Performance Metrics & Calculation Methodology
Return consistency for ALPS ETF reflects how stable tracking behavior has been across different market conditions. High return quality implies that outcomes are not dominated by a small number of extreme observations.
ALPS ETF Trust data is compiled from fund disclosures and market reference feeds and standardized for comparability. Return and risk statistics are calculated from historical price series.
Editorial review and methodology oversight provided by: Raphi Shpitalnik, Junior Member of Macroaxis Editorial Board