Sellas Life Stock Forecast - Double Exponential Smoothing

SLS Stock  USD 4.35  0.58  15.38%   
The Double Exponential Smoothing forecasted value of Sellas Life Sciences on the next trading day is expected to be 4.71 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.46. Sellas Stock Forecast is based on your current time horizon.
At this time the rsi of Sellas Life's share price is below 20 . This usually implies that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Sellas Life's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Sellas Life and does not consider all of the tangible or intangible factors available from Sellas Life's fundamental data. We analyze noise-free headlines and recent hype associated with Sellas Life Sciences, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Sellas Life's stock price prediction:
EPS Estimate Next Quarter
(0.09)
EPS Estimate Current Year
(0.26)
EPS Estimate Next Year
(0.32)
Wall Street Target Price
6.8333
EPS Estimate Current Quarter
(0.08)
Using Sellas Life hype-based prediction, you can estimate the value of Sellas Life Sciences from the perspective of Sellas Life response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Sellas Life using Sellas Life's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Sellas using crowd psychology based on the activity and movement of Sellas Life's stock price.

Sellas Life Short Interest

An investor who is long Sellas Life may also wish to track short interest. As short interest increases, investors should be becoming more worried about Sellas Life and may potentially protect profits, hedge Sellas Life with its derivative instruments, or be ready for some potential downside.
200 Day MA
1.7425
Short Percent
0.2862
Short Ratio
8.67
Shares Short Prior Month
33.3 M
50 Day MA
1.9898

Sellas Life Sciences Hype to Price Pattern

Investor biases related to Sellas Life's public news can be used to forecast risks associated with an investment in Sellas. The trend in average sentiment can be used to explain how an investor holding Sellas can time the market purely based on public headlines and social activities around Sellas Life Sciences. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Sellas Life's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Sellas Life.

Sellas Life Implied Volatility

    
  1.57  
Sellas Life's implied volatility exposes the market's sentiment of Sellas Life Sciences stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Sellas Life's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Sellas Life stock will not fluctuate a lot when Sellas Life's options are near their expiration.
The Double Exponential Smoothing forecasted value of Sellas Life Sciences on the next trading day is expected to be 4.71 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.46.

Sellas Life after-hype prediction price

    
  USD 4.35  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Sellas Life to cross-verify your projections.
At this time, Sellas Life's Receivables Turnover is comparatively stable compared to the past year. Asset Turnover is likely to gain to 0.07 in 2026, despite the fact that Inventory Turnover is likely to grow to (0.02). . Common Stock Shares Outstanding is likely to gain to about 739 M in 2026, whereas Net Loss is likely to drop (49.9 M) in 2026.

Open Interest Against 2026-03-20 Sellas Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Sellas Life's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Sellas Life's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Sellas Life stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Sellas Life's open interest, investors have to compare it to Sellas Life's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Sellas Life is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Sellas. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

Sellas Life Additional Predictive Modules

Most predictive techniques to examine Sellas price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sellas using various technical indicators. When you analyze Sellas charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Sellas Life works best with periods where there are trends or seasonality.

Sellas Life Double Exponential Smoothing Price Forecast For the 5th of January

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Sellas Life Sciences on the next trading day is expected to be 4.71 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.46.
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

Backtest Sellas LifeSellas Life Price PredictionBuy or Sell Advice 

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 0.04 and 10.65, 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
4.35
4.71
Expected Value
10.65
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0238
MADMean absolute deviation0.0926
MAPEMean absolute percentage error0.0436
SAESum of the absolute errors5.4648
When Sellas Life Sciences prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Sellas Life Sciences trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. 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
0.224.3510.34
Details
Intrinsic
Valuation
LowRealHigh
0.183.619.60
Details
3 Analysts
Consensus
LowTargetHigh
6.226.837.58
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.

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