BetaPro SAMPPTSX Capped Etf Performance
| HFU Etf | CAD 49.49 0.10 0.20% |
The ETF retains a Market Sensitivity (Beta) of -0.17, which alludes to very low measured sensitivity to broad market movements. BetaPro SAMPPTSX shows a mild inverse relationship with the market, drifting lower in rallies and holding up during downturns.
Risk-Adjusted Performance
Weak
Weak | Strong |
During the last 90 trading days, BetaPro SAMPPTSX Capped produced negative risk-adjusted performance, which signals weak return efficiency for investors with long positions. Market capitalization should still be reviewed beside liquidity, leverage, and earnings quality. In spite of latest unfluctuating performance, the etf's basic indicators remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the ETF's investors. Learn More
BetaPro |
Relative Risk vs. Return Landscape
If you had invested C$ 5,418 in BetaPro SAMPPTSX Capped on December 26, 2025 and sold it today you would have lost C$ 469.00 from holding BetaPro SAMPPTSX Capped or given up 8.66% of portfolio value over 90 days. BetaPro SAMPPTSX Capped is producing return of less than zero assuming 1.8827% volatility of returns over the 90 days investment horizon. Simply put, 16% of all etfs have less volatile historical return distribution than BetaPro SAMPPTSX, and 99% of all equity instruments are likely to generate higher returns than the ETF over the next 90 trading days. Expected Return |
| Risk |
Historical Prices of BetaPro SAMPPTSX Capped
Below is the normalized historical share price chart for BetaPro SAMPPTSX Capped extending back to June 12, 2007. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of BetaPro SAMPPTSX stands at 49.49, as last reported on the 26th of March, with the highest price reaching 49.66 and the lowest price hitting 48.50 during the day.Macro event markers
Target Price Odds to finish over Current Price
Prices of ETFs like BetaPro Etf tend to oscillate around a central value, a phenomenon known as mean reversion. Research shows that certain ETFs remain mispriced until demand-supply dynamics shift, suggesting embedded risk premiums. Additional risk factors may account for the delayed correction observed in some mispriced ETFs. Incorporating mean reversion alongside momentum and volatility analysis strengthens BetaPro Etf forecasting.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 49.49 | 90 days | 49.49 | roughly 96.0 |
Under a normal probability framework, the likelihood of BetaPro SAMPPTSX moving above the current price in 90 days from now is roughly 96.0 . The historical return profile over this window has produced more above-current than below-current outcomes. (The distribution shows where the market has recently assigned the greatest probability for BetaPro Etf within 90 days). Use the curve width to gauge whether the current setup for BetaPro Etf looks concentrated or dispersed.
BetaPro SAMPPTSX Price Density |
| Price |
Predictive Modules for BetaPro SAMPPTSX
Predicting future values of BetaPro SAMPPTSX Capped in the ETF market involves navigating significant uncertainty. Investors who apply multiple methods and compare results are better positioned to manage risk around BetaPro SAMPPTSX Capped. Cross-checking model outputs helps calibrate expectations about BetaPro SAMPPTSX Capped in changing market conditions. Investors who recognize forecasting limitations while still using structured methods gain a meaningful analytical edge.While mean reversion in BetaPro SAMPPTSX is a statistically observable tendency, it operates on uncertain timelines. Mean reversion opportunities in BetaPro SAMPPTSX's arise when prices disconnect from earnings, book value, or historical multiples. Mean reversion in BetaPro SAMPPTSX is more reliable over longer time horizons than shorter ones. In highly covered equities like BetaPro SAMPPTSX, the mean reversion window tends to be shorter.
Primary Risk Indicators
Market turbulence over the past two decades has affected virtually every corner of the etf market, including BetaPro SAMPPTSX. Price swings in BetaPro SAMPPTSX during this period have created both risk and opportunity for investors. Monitoring BetaPro SAMPPTSX's fundamental risk indicators can help investors stay ahead of market swings. The risk indicator data for BetaPro SAMPPTSX supports a systematic approach to portfolio protection.α | Alpha over Dow Jones | -0.0605 | |
β | Beta against Dow Jones | -0.17 | |
σ | Overall volatility | 2.04 | |
Ir | Information ratio | 0.0023 |
Investor Alerts and Insights
Timely alerts on BetaPro SAMPPTSX help investors identify important shifts in ETF conditions early. BetaPro SAMPPTSX Capped notifications help investors track NAV changes and holdings shifts more effectively. Historical alert accuracy for BetaPro SAMPPTSX helps investors gauge the reliability of future notifications. Automated notifications reduce the effort required to stay informed about BetaPro SAMPPTSX developments.| BetaPro SAMPPTSX generated a negative expected return over the last 90 days | |
| The fund retains all of its assets under management (AUM) in equities |
BetaPro SAMPPTSX Fundamentals Growth
Investor sentiment toward BetaPro Etf is largely driven by BetaPro SAMPPTSX's fundamental metrics. Revenue growth rates, earnings per share trends, and profit margin changes are among the most impactful factors. Understanding BetaPro Etf requires a close look at BetaPro SAMPPTSX's revenue growth and operating margins. Margin expansion, prudent debt management, and earnings growth matter most for BetaPro Etf investors.
| Price To Earning | 12.72 X | |||
| Total Asset | 22.58 M | |||
Performance Metrics & Calculation Methodology
BetaPro SAMPPTSX risk-adjusted performance compares returns to the volatility absorbed while tracking its benchmark. Adjusting for volatility reveals whether realized returns were earned efficiently or through excessive exposure.
The analytics block for BetaPro SAMPPTSX Capped 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.