Molina Healthcare Stock Forecast - Simple Regression
| MHG Stock | 165.05 1.80 1.08% |
The Simple Regression forecasted value of Molina Healthcare on the next trading day is expected to be 147.31 with a mean absolute deviation of 10.95 and the sum of the absolute errors of 678.82. Molina Stock Forecast is based on your current time horizon.
At this time the value of rsi of Molina Healthcare's share price is below 20 . This indicates that the stock 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 Molina Healthcare hype-based prediction, you can estimate the value of Molina Healthcare from the perspective of Molina Healthcare response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Molina Healthcare on the next trading day is expected to be 147.31 with a mean absolute deviation of 10.95 and the sum of the absolute errors of 678.82. Molina Healthcare after-hype prediction price | EUR 165.05 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Molina |
Molina Healthcare Additional Predictive Modules
Most predictive techniques to examine Molina price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Molina using various technical indicators. When you analyze Molina 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 |
Molina Healthcare Simple Regression Price Forecast For the 18th of January 2026
Given 90 days horizon, the Simple Regression forecasted value of Molina Healthcare on the next trading day is expected to be 147.31 with a mean absolute deviation of 10.95, mean absolute percentage error of 186.04, and the sum of the absolute errors of 678.82.Please note that although there have been many attempts to predict Molina Stock 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 Molina Healthcare's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Molina Healthcare Stock Forecast Pattern
| Backtest Molina Healthcare | Molina Healthcare Price Prediction | Buy or Sell Advice |
Molina Healthcare Forecasted Value
In the context of forecasting Molina Healthcare's Stock 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. Molina Healthcare's downside and upside margins for the forecasting period are 143.93 and 150.69, respectively. We have considered Molina Healthcare'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Molina Healthcare stock data series using in forecasting. Note that when a statistical model is used to represent Molina Healthcare stock, 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 | 125.1744 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 10.9487 |
| MAPE | Mean absolute percentage error | 0.0781 |
| SAE | Sum of the absolute errors | 678.8198 |
Predictive Modules for Molina Healthcare
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Molina Healthcare. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Molina Healthcare's 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 Molina Healthcare
For every potential investor in Molina, whether a beginner or expert, Molina Healthcare's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Molina Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Molina. Basic forecasting techniques help filter out the noise by identifying Molina Healthcare's price trends.Molina Healthcare 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 Molina Healthcare stock to make a market-neutral strategy. Peer analysis of Molina Healthcare could also be used in its relative valuation, which is a method of valuing Molina Healthcare by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Molina Healthcare Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Molina Healthcare'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 Molina Healthcare's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Molina Healthcare Market Strength Events
Market strength indicators help investors to evaluate how Molina Healthcare stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Molina Healthcare shares will generate the highest return on investment. By undertsting and applying Molina Healthcare stock market strength indicators, traders can identify Molina Healthcare entry and exit signals to maximize returns.
Molina Healthcare Risk Indicators
The analysis of Molina Healthcare'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 Molina Healthcare's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting molina stock 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 | 2.01 | |||
| Semi Deviation | 3.41 | |||
| Standard Deviation | 3.23 | |||
| Variance | 10.42 | |||
| Downside Variance | 12.38 | |||
| Semi Variance | 11.63 | |||
| Expected Short fall | (2.19) |
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.
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Additional Tools for Molina Stock Analysis
When running Molina Healthcare's price analysis, check to measure Molina Healthcare's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Molina Healthcare is operating at the current time. Most of Molina Healthcare's value examination focuses on studying past and present price action to predict the probability of Molina Healthcare's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Molina Healthcare's price. Additionally, you may evaluate how the addition of Molina Healthcare to your portfolios can decrease your overall portfolio volatility.