Sellas Life Stock Forecast - Simple Exponential Smoothing

SLS Stock  USD 1.17  0.05  4.10%   
The Simple Exponential Smoothing forecasted value of Sellas Life Sciences on the next trading day is expected to be 1.17 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.70. Sellas Stock Forecast is based on your current time horizon.
  
Asset Turnover is likely to gain to 0.07 in 2024, despite the fact that Inventory Turnover is likely to grow to (0.02). . Common Stock Shares Outstanding is likely to gain to about 29.2 M in 2024, whereas Net Loss is likely to drop (49.9 M) in 2024.
Sellas Life simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Sellas Life Sciences are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Sellas Life Sciences prices get older.

Sellas Life Simple Exponential Smoothing Price Forecast For the 26th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Sellas Life Sciences on the next trading day is expected to be 1.17 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.70.
Please note that although there have been many attempts to predict Sellas 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 Sellas Life's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sellas Life Stock Forecast Pattern

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Sellas Life Forecasted Value

In the context of forecasting Sellas Life'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. Sellas Life's downside and upside margins for the forecasting period are 0.01 and 4.29, respectively. We have considered Sellas Life'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
1.17
1.17
Expected Value
4.29
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Sellas Life stock data series using in forecasting. Note that when a statistical model is used to represent Sellas Life 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 Criteria109.7501
BiasArithmetic mean of the errors 0.002
MADMean absolute deviation0.0283
MAPEMean absolute percentage error0.023
SAESum of the absolute errors1.7
This simple exponential smoothing model begins by setting Sellas Life Sciences forecast for the second period equal to the observation of the first period. In other words, recent Sellas Life observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Sellas Life

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sellas Life Sciences. 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
0.061.174.29
Details
Intrinsic
Valuation
LowRealHigh
0.122.345.46
Details
3 Analysts
Consensus
LowTargetHigh
5.466.006.66
Details

Other Forecasting Options for Sellas Life

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

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 Risk & Return  Correlation

Sellas Life Sciences 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 Sellas Life'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 Sellas Life's current price.

Sellas Life Market Strength Events

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

Sellas Life Risk Indicators

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

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Additional Tools for Sellas Stock Analysis

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