Trust For Professional Etf Market Value
| APMU Etf | 25.34 0.01 0.04% |
| Symbol | Trust |
Trust For Professional's market price often diverges from its book value, the accounting figure shown on Trust's balance sheet. Smart investors calculate Trust For's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since Trust For's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Understanding that Trust For's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Trust For represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. However, Trust For'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.
Trust For '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 Trust For'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 Trust For.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Trust For on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Trust For Professional or generate 0.0% return on investment in Trust For over 90 days. Trust For is related to or competes with First Trust, WisdomTree SmallCap, IShares Cohen, TCW ETF, IShares Financial, First Trust, and Nuveen ESG. Trust For is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
Trust For 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 Trust For'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 Trust For Professional upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1821 | |||
| Information Ratio | (0.40) | |||
| Maximum Drawdown | 1.4 | |||
| Value At Risk | (0.16) | |||
| Potential Upside | 0.2008 |
Trust For Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Trust For's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Trust For's standard deviation. In reality, there are many statistical measures that can use Trust For historical prices to predict the future Trust For's volatility.| Risk Adjusted Performance | 0.0948 | |||
| Jensen Alpha | 0.0163 | |||
| Total Risk Alpha | 0.001 | |||
| Sortino Ratio | (0.35) | |||
| Treynor Ratio | 3.88 |
Trust For February 9, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0948 | |||
| Market Risk Adjusted Performance | 3.89 | |||
| Mean Deviation | 0.0935 | |||
| Downside Deviation | 0.1821 | |||
| Coefficient Of Variation | 594.1 | |||
| Standard Deviation | 0.1584 | |||
| Variance | 0.0251 | |||
| Information Ratio | (0.40) | |||
| Jensen Alpha | 0.0163 | |||
| Total Risk Alpha | 0.001 | |||
| Sortino Ratio | (0.35) | |||
| Treynor Ratio | 3.88 | |||
| Maximum Drawdown | 1.4 | |||
| Value At Risk | (0.16) | |||
| Potential Upside | 0.2008 | |||
| Downside Variance | 0.0331 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.11) | |||
| Skewness | 0.8312 | |||
| Kurtosis | 11.24 |
Trust For Professional Backtested Returns
Currently, Trust For Professional is very steady. Trust For Professional owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.1, which indicates the etf had a 0.1 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Trust For Professional, which you can use to evaluate the volatility of the etf. Please validate Trust For's Standard Deviation of 0.1584, risk adjusted performance of 0.0948, and Downside Deviation of 0.1821 to confirm if the risk estimate we provide is consistent with the expected return of 0.0124%. The entity has a beta of 0.0043, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Trust For's returns are expected to increase less than the market. However, during the bear market, the loss of holding Trust For is expected to be smaller as well.
Auto-correlation | -0.09 |
Very weak reverse predictability
Trust For Professional has very weak reverse predictability. Overlapping area represents the amount of predictability between Trust For time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 Trust For Professional price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Trust For price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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Check out Trust For Correlation, Trust For Volatility and Trust For Performance module to complement your research on Trust For. You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
Trust For 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.