Meehan Focus Mutual Fund Forecast - Polynomial Regression
MEFOX Fund | USD 53.71 0.61 1.15% |
The Polynomial Regression forecasted value of Meehan Focus Fund on the next trading day is expected to be 52.25 with a mean absolute deviation of 0.63 and the sum of the absolute errors of 38.23. Meehan Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Meehan Focus stock prices and determine the direction of Meehan Focus Fund's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Meehan Focus' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Meehan Focus to cross-verify your projections. Meehan |
Most investors in Meehan Focus cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Meehan Focus' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Meehan Focus' price structures and extracts relationships that further increase the generated results' accuracy.
Meehan Focus polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Meehan Focus Fund as well as the accuracy indicators are determined from the period prices. Meehan Focus Polynomial Regression Price Forecast For the 9th of May
Given 90 days horizon, the Polynomial Regression forecasted value of Meehan Focus Fund on the next trading day is expected to be 52.25 with a mean absolute deviation of 0.63, mean absolute percentage error of 0.56, and the sum of the absolute errors of 38.23.Please note that although there have been many attempts to predict Meehan Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Meehan Focus' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Meehan Focus Mutual Fund Forecast Pattern
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Meehan Focus Forecasted Value
In the context of forecasting Meehan Focus' Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Meehan Focus' downside and upside margins for the forecasting period are 51.30 and 53.21, respectively. We have considered Meehan Focus' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Meehan Focus mutual fund data series using in forecasting. Note that when a statistical model is used to represent Meehan Focus 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 | 117.531 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.6267 |
MAPE | Mean absolute percentage error | 0.0119 |
SAE | Sum of the absolute errors | 38.2262 |
Predictive Modules for Meehan Focus
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Meehan Focus. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Meehan Focus' 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.
Other Forecasting Options for Meehan Focus
For every potential investor in Meehan, whether a beginner or expert, Meehan Focus' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Meehan Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Meehan. Basic forecasting techniques help filter out the noise by identifying Meehan Focus' price trends.Meehan Focus Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Meehan Focus mutual fund to make a market-neutral strategy. Peer analysis of Meehan Focus could also be used in its relative valuation, which is a method of valuing Meehan Focus by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Meehan Focus Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Meehan Focus' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Meehan Focus' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Meehan Focus Market Strength Events
Market strength indicators help investors to evaluate how Meehan Focus mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Meehan Focus shares will generate the highest return on investment. By undertsting and applying Meehan Focus mutual fund market strength indicators, traders can identify Meehan Focus Fund entry and exit signals to maximize returns.
Daily Balance Of Power | 9.2 T | |||
Rate Of Daily Change | 1.01 | |||
Day Median Price | 53.71 | |||
Day Typical Price | 53.71 | |||
Price Action Indicator | 0.3 | |||
Period Momentum Indicator | 0.61 | |||
Relative Strength Index | 32.9 |
Meehan Focus Risk Indicators
The analysis of Meehan Focus' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Meehan Focus' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting meehan mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Mean Deviation | 0.7356 | |||
Semi Deviation | 0.8146 | |||
Standard Deviation | 0.937 | |||
Variance | 0.8779 | |||
Downside Variance | 0.976 | |||
Semi Variance | 0.6635 | |||
Expected Short fall | (0.77) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Meehan Focus in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Meehan Focus' short interest history, or implied volatility extrapolated from Meehan Focus options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Meehan Focus to cross-verify your projections. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.