Arcus Biosciences Stock Forecast - Simple Exponential Smoothing

RCUS Stock  USD 17.42  0.05  0.29%   
The Simple Exponential Smoothing forecasted value of Arcus Biosciences on the next trading day is expected to be 17.42 with a mean absolute deviation of 0.42 and the sum of the absolute errors of 25.33. Arcus Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to -0.08 in 2024. Payables Turnover is likely to drop to 0.76 in 2024. Common Stock Shares Outstanding is likely to drop to about 57.8 M in 2024. Net Loss is likely to gain to about (228.3 M) in 2024.
Arcus Biosciences 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 Arcus Biosciences are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Arcus Biosciences prices get older.

Arcus Biosciences Simple Exponential Smoothing Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Arcus Biosciences on the next trading day is expected to be 17.42 with a mean absolute deviation of 0.42, mean absolute percentage error of 0.34, and the sum of the absolute errors of 25.33.
Please note that although there have been many attempts to predict Arcus 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 Arcus Biosciences' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Arcus Biosciences Stock Forecast Pattern

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Arcus Biosciences Forecasted Value

In the context of forecasting Arcus Biosciences' 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. Arcus Biosciences' downside and upside margins for the forecasting period are 13.85 and 20.99, respectively. We have considered Arcus Biosciences' 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
17.42
17.42
Expected Value
20.99
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 Arcus Biosciences stock data series using in forecasting. Note that when a statistical model is used to represent Arcus Biosciences 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 Criteria115.1967
BiasArithmetic mean of the errors -0.0115
MADMean absolute deviation0.4222
MAPEMean absolute percentage error0.0257
SAESum of the absolute errors25.33
This simple exponential smoothing model begins by setting Arcus Biosciences forecast for the second period equal to the observation of the first period. In other words, recent Arcus Biosciences observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Arcus Biosciences

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Arcus Biosciences. 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 Arcus Biosciences' 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
13.8317.4120.99
Details
Intrinsic
Valuation
LowRealHigh
15.6823.0326.61
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.9916.2018.41
Details
13 Analysts
Consensus
LowTargetHigh
39.2043.0847.82
Details

Other Forecasting Options for Arcus Biosciences

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

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 Risk & Return  Correlation

Arcus Biosciences 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 Arcus Biosciences' 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 Arcus Biosciences' current price.

Arcus Biosciences Market Strength Events

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

Arcus Biosciences Risk Indicators

The analysis of Arcus Biosciences' 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 Arcus Biosciences' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting arcus 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 Arcus Stock Analysis

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