Madison Dividend Mutual Fund Forecast - Polynomial Regression
| MADAX Fund | USD 24.91 0.17 0.69% |
The Polynomial Regression forecasted value of Madison Dividend Income on the next trading day is expected to be 24.02 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.36. Madison Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Madison Dividend's share price is below 20 . This indicates that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Madison Dividend hype-based prediction, you can estimate the value of Madison Dividend Income from the perspective of Madison Dividend response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Madison Dividend Income on the next trading day is expected to be 24.02 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.36. Madison Dividend after-hype prediction price | USD 24.91 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Madison |
Madison Dividend Additional Predictive Modules
Most predictive techniques to examine Madison price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Madison using various technical indicators. When you analyze Madison charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Madison Dividend Polynomial Regression Price Forecast For the 7th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Madison Dividend Income on the next trading day is expected to be 24.02 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.24, and the sum of the absolute errors of 23.36.Please note that although there have been many attempts to predict Madison 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 Madison Dividend's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Madison Dividend Mutual Fund Forecast Pattern
| Backtest Madison Dividend | Madison Dividend Price Prediction | Buy or Sell Advice |
Madison Dividend Forecasted Value
In the context of forecasting Madison Dividend's 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. Madison Dividend's downside and upside margins for the forecasting period are 22.59 and 25.44, respectively. We have considered Madison Dividend's 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 Madison Dividend mutual fund data series using in forecasting. Note that when a statistical model is used to represent Madison Dividend 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 | 116.672 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.383 |
| MAPE | Mean absolute percentage error | 0.0146 |
| SAE | Sum of the absolute errors | 23.3607 |
Predictive Modules for Madison Dividend
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Madison Dividend Income. 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.Other Forecasting Options for Madison Dividend
For every potential investor in Madison, whether a beginner or expert, Madison Dividend's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Madison Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Madison. Basic forecasting techniques help filter out the noise by identifying Madison Dividend's price trends.Madison Dividend 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 Madison Dividend mutual fund to make a market-neutral strategy. Peer analysis of Madison Dividend could also be used in its relative valuation, which is a method of valuing Madison Dividend by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Madison Dividend Income 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 Madison Dividend's 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 Madison Dividend's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Madison Dividend Market Strength Events
Market strength indicators help investors to evaluate how Madison Dividend 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 Madison Dividend shares will generate the highest return on investment. By undertsting and applying Madison Dividend mutual fund market strength indicators, traders can identify Madison Dividend Income entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 24.91 | |||
| Day Typical Price | 24.91 | |||
| Price Action Indicator | 0.085 | |||
| Period Momentum Indicator | 0.17 |
Madison Dividend Risk Indicators
The analysis of Madison Dividend's 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 Madison Dividend's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting madison 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 | 0.6959 | |||
| Standard Deviation | 1.42 | |||
| Variance | 2.03 |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| JBL | Jabil Circuit | |
| MRK | Merck Company | |
| AMGN | Amgen Inc |
Other Information on Investing in Madison Mutual Fund
Madison Dividend financial ratios help investors to determine whether Madison 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 Madison with respect to the benefits of owning Madison Dividend security.
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data |