OneAscent Small Cap Etf Performance
| OASC Etf | 29.63 0.59 2.03% |
The etf owns a Beta (Market Risk) of -0.26, which means very low measured sensitivity to broad market movements. Returns on OneAscent Small tend to move against the broader market, though the counter-movement is modest relative to the index.
Risk-Adjusted Performance
Weak
Weak | Strong |
For the recent 90-day horizon, OneAscent Small Cap failed to convert risk into positive risk-adjusted performance. The result matters because weak risk-adjusted return can persist even when isolated price moves briefly look constructive. In spite of rather sound basic indicators, OneAscent Small is not utilizing all of its potential. The current price tumult may contribute to shorter-term losses for shareholders. Learn More
OneAscent | Build portfolio with OneAscent Etf |
Relative Risk vs. Return Landscape
If you had invested $ 3,006 in OneAscent Small Cap on December 24, 2025 and sold it today you would have lost $ 43.00 from holding OneAscent Small Cap or given up 1.43% of portfolio value over 90 days. OneAscent Small Cap does not currently generate positive expected returns and carries 1.0846% risk (volatility on return distribution) over a 90-day horizon. In different words, 9% of etfs are less volatile than OneAscent, and 99% of all traded equity instruments are projected to make higher returns than the ETF over the 90 days investment horizon. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
For OneAscent Etf, the tendency of price to converge toward a long-term average provides a useful forecasting baseline. Investors have relied on this tendency for decades, though persistent mispricings in some instruments suggest additional risk factors.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 29.63 | 90 days | 29.63 | about 87.6 |
Based on standard probability analysis, the odds of OneAscent Small moving above the current price in 90 days from now are about 87.6 . That keeps the near-term bias tilted toward stronger price outcomes for this ETF. (The curve highlights the price band where the market has recently concentrated expectations for OneAscent Etf over the next 90 days). A narrower shape indicates the market has recently priced OneAscent Etf into a more concentrated outcome range.
OneAscent Small Price Density |
| Price |
Predictive Modules for OneAscent Small
A variety of analytical techniques are available for forecasting OneAscent Small Cap and the broader ETF market. From technical pattern analysis to statistical models, each method contributes a different perspective on OneAscent Small Cap.The mean reversion principle applied to OneAscent Small's suggests that neither prolonged outperformance nor underperformance is permanent. Identifying the root cause of OneAscent Small's price dislocation is essential before acting on a mean reversion signal.
Primary Risk Indicators
The past 10-20 years have brought considerable volatility to the etf market, with OneAscent Small experiencing notable price swings. OneAscent Small has reflected this volatile environment with periods of significant price swings.α | Alpha over Dow Jones | -0.0607 | |
β | Beta against Dow Jones | -0.26 | |
σ | Overall volatility | 0.58 | |
Ir | Information ratio | 0.02 |
Investor Alerts and Insights
Alerts and suggestions for OneAscent Small give investors a structured way to monitor the ETF for material events. OneAscent Small Cap alerts cover shifts in fundamentals, technical conditions, and significant market-moving events.| OneAscent Small Cap generated a negative expected return over the last 90 days | |
| Latest headline from thelincolnianonline.com: One Ascent Small Cap Core ETF Short Interest Down 61.9 percent in February |
Performance Metrics & Calculation Methodology
OneAscent Small performance is typically evaluated relative to its benchmark and tracking difference over time. Liquidity conditions can influence realized performance through spreads and execution cost.
The analytics block for OneAscent Small Cap relies on fund disclosures and market reference feeds, with quality checks and normalization applied before rendering. Timing can vary by data vendor. Return and risk statistics are calculated from historical price series.