EchoStar Stock Forecast - 4 Period Moving Average

SATS Stock  USD 25.03  0.16  0.64%   
The 4 Period Moving Average forecasted value of EchoStar on the next trading day is expected to be 24.84 with a mean absolute deviation of 0.93 and the sum of the absolute errors of 52.85. EchoStar Stock Forecast is based on your current time horizon.
  
At this time, EchoStar's Inventory Turnover is comparatively stable compared to the past year. Fixed Asset Turnover is likely to gain to 2.62 in 2024, whereas Payables Turnover is likely to drop 11.89 in 2024. . Common Stock Shares Outstanding is likely to gain to about 330.4 M in 2024, whereas Net Income Applicable To Common Shares is likely to drop slightly above 102.7 M in 2024.
A four-period moving average forecast model for EchoStar 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.

EchoStar 4 Period Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of EchoStar on the next trading day is expected to be 24.84 with a mean absolute deviation of 0.93, mean absolute percentage error of 1.80, and the sum of the absolute errors of 52.85.
Please note that although there have been many attempts to predict EchoStar 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 EchoStar's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

EchoStar Stock Forecast Pattern

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EchoStar Forecasted Value

In the context of forecasting EchoStar'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. EchoStar's downside and upside margins for the forecasting period are 20.14 and 29.53, respectively. We have considered EchoStar'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
25.03
24.84
Expected Value
29.53
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 EchoStar stock data series using in forecasting. Note that when a statistical model is used to represent EchoStar 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 Criteria111.3441
BiasArithmetic mean of the errors -0.1373
MADMean absolute deviation0.9271
MAPEMean absolute percentage error0.0378
SAESum of the absolute errors52.845
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 EchoStar. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for EchoStar and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for EchoStar

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EchoStar. 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 EchoStar'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.
Hype
Prediction
LowEstimatedHigh
20.8125.5130.21
Details
Intrinsic
Valuation
LowRealHigh
24.1828.8833.58
Details
Bollinger
Band Projection (param)
LowMiddleHigh
21.7324.4027.08
Details
6 Analysts
Consensus
LowTargetHigh
32.3135.5039.41
Details

Other Forecasting Options for EchoStar

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

EchoStar 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 EchoStar stock to make a market-neutral strategy. Peer analysis of EchoStar could also be used in its relative valuation, which is a method of valuing EchoStar by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

EchoStar 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 EchoStar'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 EchoStar's current price.

EchoStar Market Strength Events

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

EchoStar Risk Indicators

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

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