PRO-BLEND(R) MAXIMUM Mutual Fund Forward View - Simple Regression
| MNHCX Fund | USD 23.32 -0.40 -1.69% |
Pro Blend Maximum Term's Simple Regression reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for PRO-BLEND(R) MAXIMUM. This page is updated as new daily closing prices become available for PRO-BLEND(R) MAXIMUM.
The Simple Regression forecasted value of Pro Blend Maximum Term on the next trading day is expected to be 24.23 with a mean absolute deviation of 0.35 and the sum of the absolute errors of 21.50.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Pro Blend Maximum Term historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. All Simple Regression forecast figures shown for Pro Blend Maximum Term are reference data reflecting model output based on available historical prices. Simple Regression Price Forecast For the 24th of March
Given 90 days horizon, the Simple Regression forecasted value of Pro Blend Maximum Term on the next trading day is expected to be 24.23 with a mean absolute deviation of 0.35 , mean absolute percentage error of 0.19 , and the sum of the absolute errors of 21.50 .Please note that although there have been many attempts to predict PRO-BLEND(R) Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that PRO-BLEND(R) MAXIMUM's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
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Forecasted Value
For the next trading day, Macroaxis evaluates PRO-BLEND(R) MAXIMUM's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 23.41 and upside around 25.04 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of PRO-BLEND(R) MAXIMUM mutual fund data series using in forecasting. Note that when a statistical model is used to represent PRO-BLEND(R) MAXIMUM mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 116.4605 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3525 |
| MAPE | Mean absolute percentage error | 0.014 |
| SAE | Sum of the absolute errors | 21.5034 |
Other Forecasting Options for PRO-BLEND(R) MAXIMUM
Bollinger Bands applied to PRO-BLEND(R) Mutual Fund price data measure how far PRO-BLEND(R) has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to PRO-BLEND(R) MAXIMUM's price data. On-balance volume for PRO-BLEND(R) Mutual Fund creates a running indicator of buying versus selling pressure in PRO-BLEND(R). Price departures from the channel boundary often mean-revert, offering tactical signals for PRO-BLEND(R) MAXIMUM's.PRO-BLEND(R) MAXIMUM Related Equities
The stocks listed below are peers of PRO-BLEND(R) MAXIMUM within the Allocation--85%+ Equity space and offer context for ranking and strength. Peer review on balance sheet metrics shows how PRO-BLEND(R) MAXIMUM's capital structure stacks up against similar firms. How PRO-BLEND(R) MAXIMUM ranks within this group can shift over time as the competitive picture changes. These links can also guide portfolio spreading choices within the sector.
| Risk & Return | Correlation |
PRO-BLEND(R) MAXIMUM Market Strength Events
For investors tracking Pro Blend Maximum Term, market strength indicators offer quantitative evaluation of mutual fund behavior. By using these indicators, traders can make more informed decisions about when to buy or sell Pro Blend Maximum Term. These indicators capture shifts in momentum that may precede significant price moves in PRO-BLEND(R) MAXIMUM. These metrics provide actionable context for both entry and risk management decisions around Pro Blend Maximum Term.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 23.32 | |||
| Day Typical Price | 23.32 | |||
| Price Action Indicator | -0.20 | |||
| Period Momentum Indicator | -0.40 | |||
| Relative Strength Index | 32.8 |
PRO-BLEND(R) MAXIMUM Risk Indicators
Analyzing PRO-BLEND(R) MAXIMUM's basic risk indicators provides investors with a structured view of the risk-return trade-off for pro-blend(r) mutual fund. By identifying the level of risk embedded in PRO-BLEND(R) MAXIMUM's investment, investors can make informed decisions about position sizing. Analyzing PRO-BLEND(R) MAXIMUM's risk indicators gives investors important context for price forecasting. Understanding the risk in PRO-BLEND(R) MAXIMUM's investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 0.8401 | |||
| Semi Deviation | 0.8241 | |||
| Standard Deviation | 1.61 | |||
| Variance | 2.6 | |||
| Downside Variance | 0.786 | |||
| Semi Variance | 0.6792 | |||
| Expected Short fall | -1.04 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for PRO-BLEND(R) MAXIMUM
The amount of media and story coverage tied to Pro Blend Maximum Term can signal where market attention is concentrating at the moment. A disciplined read of coverage separates durable relevance from temporary noise.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.