Pro Blend Maximum Term Fund Technical Analysis
| EXHAX Fund | USD 26.09 0.27 1.05% |
As of the 23rd of January, Pro-blend(r) Maximum holds the Coefficient Of Variation of 524.96, risk adjusted performance of 0.1458, and Semi Deviation of 0.2123. Pro-blend(r) Maximum technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the fund's future prices.
Pro-blend(r) Maximum Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Pro-blend(r), fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Pro-blend(r)Pro-blend(r) |
Pro-blend(r) Maximum '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 Pro-blend(r) Maximum's mutual fund 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 Pro-blend(r) Maximum.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Pro-blend(r) Maximum on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding Pro Blend Maximum Term or generate 0.0% return on investment in Pro-blend(r) Maximum over 90 days. Pro-blend(r) Maximum is related to or competes with American Beacon, Pro-blend(r) Moderate, Large Cap, One Choice, Lazard International, Rainier International, and Rainier International. The fund invests primarily in common stocks and in long-term fixed income securities More
Pro-blend(r) Maximum 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 Pro-blend(r) Maximum's mutual fund 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 Pro Blend Maximum Term upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6802 | |||
| Information Ratio | 0.1219 | |||
| Maximum Drawdown | 12.78 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.32 |
Pro-blend(r) Maximum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pro-blend(r) Maximum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pro-blend(r) Maximum's standard deviation. In reality, there are many statistical measures that can use Pro-blend(r) Maximum historical prices to predict the future Pro-blend(r) Maximum's volatility.| Risk Adjusted Performance | 0.1458 | |||
| Jensen Alpha | 0.2275 | |||
| Total Risk Alpha | 0.0858 | |||
| Sortino Ratio | 0.2717 | |||
| Treynor Ratio | 0.5104 |
Pro-blend(r) Maximum January 23, 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 | 0.1458 | |||
| Market Risk Adjusted Performance | 0.5204 | |||
| Mean Deviation | 0.7178 | |||
| Semi Deviation | 0.2123 | |||
| Downside Deviation | 0.6802 | |||
| Coefficient Of Variation | 524.96 | |||
| Standard Deviation | 1.52 | |||
| Variance | 2.3 | |||
| Information Ratio | 0.1219 | |||
| Jensen Alpha | 0.2275 | |||
| Total Risk Alpha | 0.0858 | |||
| Sortino Ratio | 0.2717 | |||
| Treynor Ratio | 0.5104 | |||
| Maximum Drawdown | 12.78 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.32 | |||
| Downside Variance | 0.4626 | |||
| Semi Variance | 0.0451 | |||
| Expected Short fall | (0.95) | |||
| Skewness | 5.7 | |||
| Kurtosis | 41.02 |
Pro-blend(r) Maximum Backtested Returns
Pro-blend(r) Maximum appears to be very steady, given 3 months investment horizon. Pro-blend(r) Maximum maintains Sharpe Ratio (i.e., Efficiency) of 0.17, which implies the entity had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Pro-blend(r) Maximum, which you can use to evaluate the volatility of the fund. Please evaluate Pro-blend(r) Maximum's Coefficient Of Variation of 524.96, semi deviation of 0.2123, and Risk Adjusted Performance of 0.1458 to confirm if our risk estimates are consistent with your expectations. The fund holds a Beta of 0.55, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pro-blend(r) Maximum's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pro-blend(r) Maximum is expected to be smaller as well.
Auto-correlation | -0.1 |
Very weak reverse predictability
Pro Blend Maximum Term has very weak reverse predictability. Overlapping area represents the amount of predictability between Pro-blend(r) Maximum time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 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 Pro-blend(r) Maximum price movement. The serial correlation of -0.1 indicates that less than 10.0% of current Pro-blend(r) Maximum price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.1 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 1.54 |
Pro-blend(r) Maximum technical mutual fund 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, fund market cycles, or different charting patterns.
Pro-blend(r) Maximum Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Pro-blend(r) Maximum volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Pro-blend(r) Maximum 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 Pro Blend Maximum Term 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 Pro Blend Maximum Term based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Pro-blend(r) Maximum price pattern first instead of the macroeconomic environment surrounding Pro-blend(r) Maximum. By analyzing Pro-blend(r) Maximum'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 Pro-blend(r) Maximum'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 Pro-blend(r) Maximum specific price patterns or momentum indicators. Please read more on our technical analysis page.
Pro-blend(r) Maximum January 23, 2026 Technical Indicators
Most technical analysis of Pro-blend(r) 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 Pro-blend(r) from various momentum indicators to cycle indicators. When you analyze Pro-blend(r) 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 | 0.1458 | |||
| Market Risk Adjusted Performance | 0.5204 | |||
| Mean Deviation | 0.7178 | |||
| Semi Deviation | 0.2123 | |||
| Downside Deviation | 0.6802 | |||
| Coefficient Of Variation | 524.96 | |||
| Standard Deviation | 1.52 | |||
| Variance | 2.3 | |||
| Information Ratio | 0.1219 | |||
| Jensen Alpha | 0.2275 | |||
| Total Risk Alpha | 0.0858 | |||
| Sortino Ratio | 0.2717 | |||
| Treynor Ratio | 0.5104 | |||
| Maximum Drawdown | 12.78 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.32 | |||
| Downside Variance | 0.4626 | |||
| Semi Variance | 0.0451 | |||
| Expected Short fall | (0.95) | |||
| Skewness | 5.7 | |||
| Kurtosis | 41.02 |
Pro-blend(r) Maximum January 23, 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 Pro-blend(r) 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 | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 26.09 | ||
| Day Typical Price | 26.09 | ||
| Price Action Indicator | 0.13 |
Other Information on Investing in Pro-blend(r) Mutual Fund
Pro-blend(r) Maximum financial ratios help investors to determine whether Pro-blend(r) Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Pro-blend(r) with respect to the benefits of owning Pro-blend(r) Maximum security.
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