RadNet Stock Forecast - Simple Moving Average

RDNT Stock  USD 81.76  0.73  0.88%   
The Simple Moving Average forecasted value of RadNet Inc on the next trading day is expected to be 81.76 with a mean absolute deviation of 1.55 and the sum of the absolute errors of 91.50. RadNet Stock Forecast is based on your current time horizon.
  
At this time, RadNet's Inventory Turnover is comparatively stable compared to the past year. Fixed Asset Turnover is likely to gain to 1.83 in 2024, whereas Payables Turnover is likely to drop 10.01 in 2024. . Common Stock Shares Outstanding is likely to drop to about 38.4 M in 2024. Net Income Applicable To Common Shares is likely to drop to about 11.9 M in 2024.
A two period moving average forecast for RadNet is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

RadNet Simple Moving Average Price Forecast For the 2nd of December

Given 90 days horizon, the Simple Moving Average forecasted value of RadNet Inc on the next trading day is expected to be 81.76 with a mean absolute deviation of 1.55, mean absolute percentage error of 6.51, and the sum of the absolute errors of 91.50.
Please note that although there have been many attempts to predict RadNet 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 RadNet's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

RadNet Stock Forecast Pattern

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RadNet Forecasted Value

In the context of forecasting RadNet'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. RadNet's downside and upside margins for the forecasting period are 78.61 and 84.91, respectively. We have considered RadNet'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
81.76
81.76
Expected Value
84.91
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of RadNet stock data series using in forecasting. Note that when a statistical model is used to represent RadNet 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 Criteria116.3073
BiasArithmetic mean of the errors -0.5184
MADMean absolute deviation1.5509
MAPEMean absolute percentage error0.0213
SAESum of the absolute errors91.505
The simple moving average model is conceptually a linear regression of the current value of RadNet Inc price series against current and previous (unobserved) value of RadNet. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for RadNet

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as RadNet Inc. 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
77.4580.6083.75
Details
Intrinsic
Valuation
LowRealHigh
45.3748.5289.94
Details
Bollinger
Band Projection (param)
LowMiddleHigh
79.3281.3483.35
Details
6 Analysts
Consensus
LowTargetHigh
35.4939.0043.29
Details

Other Forecasting Options for RadNet

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

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 Risk & Return  Correlation

RadNet Inc 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 RadNet'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 RadNet's current price.

RadNet Market Strength Events

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

RadNet Risk Indicators

The analysis of RadNet'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 RadNet's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting radnet 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for RadNet Stock Analysis

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