The Rbb Fund Market Value
| ACVT Etf | 26.78 0.13 0.48% |
| Symbol | RBB |
Understanding RBB Fund requires distinguishing between market price and book value, where the latter reflects RBB's accounting equity. The concept of intrinsic value - what RBB Fund's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Market sentiment, economic cycles, and investor behavior can push RBB Fund's price substantially above or below its fundamental value.
Understanding that RBB Fund's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether RBB Fund represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, RBB Fund's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
RBB Fund '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 RBB Fund'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 RBB Fund.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in RBB Fund on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding The RBB Fund or generate 0.0% return on investment in RBB Fund over 90 days. RBB Fund is related to or competes with Innovator Equity, Northern Lights, SPDR SSGA, IShares Trust, Direxion Shares, Simplify Exchange, and NuShares ETF. More
RBB Fund 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 RBB Fund'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 The RBB Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3222 | |||
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 1.57 | |||
| Value At Risk | (0.55) | |||
| Potential Upside | 0.5682 |
RBB Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for RBB Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RBB Fund's standard deviation. In reality, there are many statistical measures that can use RBB Fund historical prices to predict the future RBB Fund's volatility.| Risk Adjusted Performance | 0.0351 | |||
| Jensen Alpha | 0.0092 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | 0.6781 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of RBB Fund's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
RBB Fund February 11, 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 | 0.0351 | |||
| Market Risk Adjusted Performance | 0.6881 | |||
| Mean Deviation | 0.2584 | |||
| Semi Deviation | 0.2669 | |||
| Downside Deviation | 0.3222 | |||
| Coefficient Of Variation | 1628.0 | |||
| Standard Deviation | 0.3328 | |||
| Variance | 0.1108 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | 0.0092 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | 0.6781 | |||
| Maximum Drawdown | 1.57 | |||
| Value At Risk | (0.55) | |||
| Potential Upside | 0.5682 | |||
| Downside Variance | 0.1038 | |||
| Semi Variance | 0.0712 | |||
| Expected Short fall | (0.31) | |||
| Skewness | (0.25) | |||
| Kurtosis | 0.3614 |
RBB Fund Backtested Returns
Currently, The RBB Fund is very steady. RBB Fund maintains Sharpe Ratio (i.e., Efficiency) of 0.0586, which implies the entity had a 0.0586 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for RBB Fund, which you can use to evaluate the volatility of the etf. Please check RBB Fund's Semi Deviation of 0.2669, market risk adjusted performance of 0.6881, and Coefficient Of Variation of 1628.0 to confirm if the risk estimate we provide is consistent with the expected return of 0.019%. The etf holds a Beta of 0.0154, which implies not very significant fluctuations relative to the market. As returns on the market increase, RBB Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding RBB Fund is expected to be smaller as well.
Auto-correlation | -0.1 |
Very weak reverse predictability
The RBB Fund has very weak reverse predictability. Overlapping area represents the amount of predictability between RBB Fund time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th 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 RBB Fund price movement. The serial correlation of -0.1 indicates that less than 10.0% of current RBB Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.1 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Thematic Opportunities
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RBB Fund 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.