Omeros Stock Forecast - Simple Regression

3O8 Stock  EUR 10.53  0.62  5.56%   
The Simple Regression forecasted value of Omeros on the next trading day is expected to be 7.61 with a mean absolute deviation of 1.31 and the sum of the absolute errors of 80.09. Omeros Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Omeros' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Omeros price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Omeros Simple Regression Price Forecast For the 2nd of December

Given 90 days horizon, the Simple Regression forecasted value of Omeros on the next trading day is expected to be 7.61 with a mean absolute deviation of 1.31, mean absolute percentage error of 2.79, and the sum of the absolute errors of 80.09.
Please note that although there have been many attempts to predict Omeros 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 Omeros' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Omeros Stock Forecast Pattern

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Omeros Forecasted Value

In the context of forecasting Omeros' 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. Omeros' downside and upside margins for the forecasting period are 0.11 and 17.52, respectively. We have considered Omeros' 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
10.53
7.61
Expected Value
17.52
Upside

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 Omeros stock data series using in forecasting. Note that when a statistical model is used to represent Omeros 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 Criteria119.1364
BiasArithmetic mean of the errors None
MADMean absolute deviation1.3129
MAPEMean absolute percentage error0.2716
SAESum of the absolute errors80.0899
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Omeros historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Omeros

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Omeros. 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
0.6210.5320.44
Details
Intrinsic
Valuation
LowRealHigh
0.458.9618.87
Details
Bollinger
Band Projection (param)
LowMiddleHigh
5.099.4913.90
Details

Other Forecasting Options for Omeros

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

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

Omeros 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 Omeros' 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 Omeros' current price.

Omeros Market Strength Events

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

Omeros Risk Indicators

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

Currently Active Assets on Macroaxis

Additional Information and Resources on Investing in Omeros Stock

When determining whether Omeros is a strong investment it is important to analyze Omeros' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Omeros' future performance. For an informed investment choice regarding Omeros Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Omeros to cross-verify your projections.
For more detail on how to invest in Omeros Stock please use our How to Invest in Omeros guide.
You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Please note, there is a significant difference between Omeros' value and its price as these two are different measures arrived at by different means. Investors typically determine if Omeros is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Omeros' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.