Trust For Professional Etf Technical Analysis
| APMU Etf | 25.31 0.02 0.08% |
As of the 1st of February, Trust For has the Coefficient Of Variation of 929.58, semi deviation of 0.0771, and Risk Adjusted Performance of 0.0436. Trust For technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the etf's future prices.
Trust For Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Trust, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TrustTrust For's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.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.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Trust For on November 3, 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 Rockefeller Opportunistic, First Trust, Fidelity Systematic, JP Morgan, Northern Lights, 3EDGE Dynamic, and Goldman Sachs. 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 | 0.1871 | |||
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 1.4 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.2005 |
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 | 0.0436 | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | (0.0003) | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.3741 |
Trust For February 1, 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 | 0.0436 | |||
| Market Risk Adjusted Performance | 0.3841 | |||
| Mean Deviation | 0.1005 | |||
| Semi Deviation | 0.0771 | |||
| Downside Deviation | 0.1871 | |||
| Coefficient Of Variation | 929.58 | |||
| Standard Deviation | 0.1635 | |||
| Variance | 0.0267 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | (0.0003) | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.3741 | |||
| Maximum Drawdown | 1.4 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.2005 | |||
| Downside Variance | 0.035 | |||
| Semi Variance | 0.0059 | |||
| Expected Short fall | (0.11) | |||
| Skewness | 0.7951 | |||
| Kurtosis | 9.78 |
Trust For Professional Backtested Returns
Currently, Trust For Professional is very steady. Trust For Professional owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the etf had a 0.15 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Trust For Professional, which you can use to evaluate the volatility of the etf. Please validate Trust For's Risk Adjusted Performance of 0.0436, semi deviation of 0.0771, and Coefficient Of Variation of 929.58 to confirm if the risk estimate we provide is consistent with the expected return of 0.0239%. The entity has a beta of 0.0203, 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 | 0.11 |
Insignificant predictability
Trust For Professional has insignificant predictability. Overlapping area represents the amount of predictability between Trust For time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st 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 0.11 indicates that less than 11.0% of current Trust For price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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.
Trust For Professional Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Trust For Professional volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Trust For Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Trust For Professional on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Trust For Professional based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Trust For Professional price pattern first instead of the macroeconomic environment surrounding Trust For Professional. By analyzing Trust For's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Trust For's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Trust For specific price patterns or momentum indicators. Please read more on our technical analysis page.
Trust For February 1, 2026 Technical Indicators
Most technical analysis of Trust help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Trust from various momentum indicators to cycle indicators. When you analyze Trust charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0436 | |||
| Market Risk Adjusted Performance | 0.3841 | |||
| Mean Deviation | 0.1005 | |||
| Semi Deviation | 0.0771 | |||
| Downside Deviation | 0.1871 | |||
| Coefficient Of Variation | 929.58 | |||
| Standard Deviation | 0.1635 | |||
| Variance | 0.0267 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | (0.0003) | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.3741 | |||
| Maximum Drawdown | 1.4 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.2005 | |||
| Downside Variance | 0.035 | |||
| Semi Variance | 0.0059 | |||
| Expected Short fall | (0.11) | |||
| Skewness | 0.7951 | |||
| Kurtosis | 9.78 |
Trust For February 1, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Trust stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.50 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 25.30 | ||
| Day Typical Price | 25.30 | ||
| Price Action Indicator | 0.02 | ||
| Market Facilitation Index | 0.04 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Trust For Professional. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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.