MediaAlpha Stock Forecast - 4 Period Moving Average

MAX Stock  USD 12.63  0.26  2.02%   
The 4 Period Moving Average forecasted value of MediaAlpha on the next trading day is expected to be 12.72 with a mean absolute deviation of 0.69 and the sum of the absolute errors of 39.28. MediaAlpha Stock Forecast is based on your current time horizon.
  
At this time, MediaAlpha's Payables Turnover is fairly stable compared to the past year. Receivables Turnover is likely to rise to 8.20 in 2024, whereas Inventory Turnover is likely to drop (86.07) in 2024. . Common Stock Shares Outstanding is likely to drop to about 45.4 M in 2024. Net Loss is likely to rise to about (49.3 M) in 2024.
A four-period moving average forecast model for MediaAlpha is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

MediaAlpha 4 Period Moving Average Price Forecast For the 2nd of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of MediaAlpha on the next trading day is expected to be 12.72 with a mean absolute deviation of 0.69, mean absolute percentage error of 1.55, and the sum of the absolute errors of 39.28.
Please note that although there have been many attempts to predict MediaAlpha 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 MediaAlpha's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MediaAlpha Stock Forecast Pattern

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MediaAlpha Forecasted Value

In the context of forecasting MediaAlpha'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. MediaAlpha's downside and upside margins for the forecasting period are 7.83 and 17.61, respectively. We have considered MediaAlpha'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.
Market Value
12.63
12.72
Expected Value
17.61
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of MediaAlpha stock data series using in forecasting. Note that when a statistical model is used to represent MediaAlpha 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.
AICAkaike Information Criteria111.1998
BiasArithmetic mean of the errors 0.1955
MADMean absolute deviation0.6892
MAPEMean absolute percentage error0.0476
SAESum of the absolute errors39.285
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of MediaAlpha. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for MediaAlpha and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for MediaAlpha

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MediaAlpha. 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.
Hype
Prediction
LowEstimatedHigh
7.6812.5717.46
Details
Intrinsic
Valuation
LowRealHigh
1.586.4713.89
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.9612.5813.20
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.230.280.32
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as MediaAlpha. Your research has to be compared to or analyzed against MediaAlpha's peers to derive any actionable benefits. When done correctly, MediaAlpha's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in MediaAlpha.

Other Forecasting Options for MediaAlpha

For every potential investor in MediaAlpha, whether a beginner or expert, MediaAlpha's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. MediaAlpha Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in MediaAlpha. Basic forecasting techniques help filter out the noise by identifying MediaAlpha's price trends.

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 Risk & Return  Correlation

MediaAlpha 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 MediaAlpha'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 MediaAlpha's current price.

MediaAlpha Market Strength Events

Market strength indicators help investors to evaluate how MediaAlpha stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading MediaAlpha shares will generate the highest return on investment. By undertsting and applying MediaAlpha stock market strength indicators, traders can identify MediaAlpha entry and exit signals to maximize returns.

MediaAlpha Risk Indicators

The analysis of MediaAlpha'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 MediaAlpha's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mediaalpha 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.
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 MediaAlpha Stock Analysis

When running MediaAlpha's price analysis, check to measure MediaAlpha'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 MediaAlpha is operating at the current time. Most of MediaAlpha's value examination focuses on studying past and present price action to predict the probability of MediaAlpha's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MediaAlpha's price. Additionally, you may evaluate how the addition of MediaAlpha to your portfolios can decrease your overall portfolio volatility.