Blackrock Etf Trust Etf Market Value
| PMMF Etf | 100.38 0.02 0.02% |
| Symbol | BlackRock |
BlackRock ETF Trust's market price often diverges from its book value, the accounting figure shown on BlackRock's balance sheet. Smart investors calculate BlackRock ETF's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Since BlackRock ETF's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between BlackRock ETF's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding BlackRock ETF should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, BlackRock ETF's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
BlackRock ETF 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to BlackRock ETF's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of BlackRock ETF.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in BlackRock ETF on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding BlackRock ETF Trust or generate 0.0% return on investment in BlackRock ETF over 90 days. BlackRock ETF is related to or competes with ProShares Ultra, Vanguard Ultra, Innovator ETFs, First Trust, IQ MacKay, VanEck Digital, and First Trust. BlackRock ETF is entity of United States More
BlackRock ETF Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure BlackRock ETF's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess BlackRock ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (4.82) | |||
| Maximum Drawdown | 0.0402 | |||
| Potential Upside | 0.0302 |
BlackRock ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BlackRock ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BlackRock ETF's standard deviation. In reality, there are many statistical measures that can use BlackRock ETF historical prices to predict the future BlackRock ETF's volatility.| Risk Adjusted Performance | 0.3539 | |||
| Jensen Alpha | 0.0048 | |||
| Total Risk Alpha | 0.004 | |||
| Treynor Ratio | 4.06 |
BlackRock ETF February 16, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.3539 | |||
| Market Risk Adjusted Performance | 4.07 | |||
| Mean Deviation | 0.0092 | |||
| Coefficient Of Variation | 76.82 | |||
| Standard Deviation | 0.0114 | |||
| Variance | 1.0E-4 | |||
| Information Ratio | (4.82) | |||
| Jensen Alpha | 0.0048 | |||
| Total Risk Alpha | 0.004 | |||
| Treynor Ratio | 4.06 | |||
| Maximum Drawdown | 0.0402 | |||
| Potential Upside | 0.0302 | |||
| Skewness | 0.0363 | |||
| Kurtosis | 0.527 |
BlackRock ETF Trust Backtested Returns
At this point, BlackRock ETF is very steady. BlackRock ETF Trust secures Sharpe Ratio (or Efficiency) of 1.41, which signifies that the etf had a 1.41 % return per unit of standard deviation over the last 3 months. We have found twenty-two technical indicators for BlackRock ETF Trust, which you can use to evaluate the volatility of the entity. Please confirm BlackRock ETF's mean deviation of 0.0092, and Risk Adjusted Performance of 0.3539 to double-check if the risk estimate we provide is consistent with the expected return of 0.0149%. The etf shows a Beta (market volatility) of 0.0012, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BlackRock ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding BlackRock ETF is expected to be smaller as well.
Auto-correlation | 0.99 |
Perfect predictability
BlackRock ETF Trust has perfect predictability. Overlapping area represents the amount of predictability between BlackRock ETF time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of BlackRock ETF Trust price movement. The serial correlation of 0.99 indicates that 99.0% of current BlackRock ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.99 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
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Check out BlackRock ETF Correlation, BlackRock ETF Volatility and BlackRock ETF Performance module to complement your research on BlackRock ETF. For more detail on how to invest in BlackRock Etf please use our How to Invest in BlackRock ETF guide.You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
BlackRock ETF technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.