Snail, Stock Forecast - Triple Exponential Smoothing

SNAL Stock   0.94  0.01  1.08%   
The Triple Exponential Smoothing forecasted value of Snail, Class A on the next trading day is expected to be 0.91 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.52. Snail, Stock Forecast is based on your current time horizon. Although Snail,'s naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Snail,'s systematic risk associated with finding meaningful patterns of Snail, fundamentals over time.
  
At this time, Snail,'s Inventory Turnover is quite stable compared to the past year. Receivables Turnover is expected to rise to 4.71 this year, although the value of Payables Turnover will most likely fall to 1.32. . The value of Common Stock Shares Outstanding is expected to slide to about 29.5 M. The value of Net Income Applicable To Common Shares is expected to slide to about 9.2 M.
Triple exponential smoothing for Snail, - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Snail, 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 trend in Snail, price movement. However, neither of these exponential smoothing models address any seasonality of Snail, Class A.

Snail, Triple Exponential Smoothing Price Forecast For the 23rd of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Snail, Class A on the next trading day is expected to be 0.91 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.52.
Please note that although there have been many attempts to predict Snail, 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 Snail,'s next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Snail, Stock Forecast Pattern

Backtest Snail,Snail, Price PredictionBuy or Sell Advice 

Snail, Forecasted Value

In the context of forecasting Snail,'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. Snail,'s downside and upside margins for the forecasting period are 0.01 and 12.68, respectively. We have considered Snail,'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
0.94
0.91
Expected Value
12.68
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Snail, stock data series using in forecasting. Note that when a statistical model is used to represent Snail, 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 -0.0022
MADMean absolute deviation0.0936
MAPEMean absolute percentage error0.0701
SAESum of the absolute errors5.5209
As with simple exponential smoothing, in triple exponential smoothing models past Snail, observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Snail, Class A observations.

Predictive Modules for Snail,

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Snail, Class A. 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
0.050.9412.71
Details
Intrinsic
Valuation
LowRealHigh
0.050.9012.67
Details
1 Analysts
Consensus
LowTargetHigh
8.199.009.99
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Snail,. Your research has to be compared to or analyzed against Snail,'s peers to derive any actionable benefits. When done correctly, Snail,'s competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Snail, Class A.

Other Forecasting Options for Snail,

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

View Snail, Related Equities

 Risk & Return  Correlation

Snail, Class A 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 Snail,'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 Snail,'s current price.

Snail, Market Strength Events

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

Snail, Risk Indicators

The analysis of Snail,'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 Snail,'s investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting snail, 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
When determining whether Snail, Class A is a strong investment it is important to analyze Snail,'s 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 Snail,'s future performance. For an informed investment choice regarding Snail, Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Snail, to cross-verify your projections.
You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Is Movies & Entertainment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Snail,. If investors know Snail, will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Snail, listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
0.08
Revenue Per Share
1.997
Quarterly Revenue Growth
1.184
Return On Assets
(0.01)
Return On Equity
(0.46)
The market value of Snail, Class A is measured differently than its book value, which is the value of Snail, that is recorded on the company's balance sheet. Investors also form their own opinion of Snail,'s value that differs from its market value or its book value, called intrinsic value, which is Snail,'s true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Snail,'s market value can be influenced by many factors that don't directly affect Snail,'s underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Snail,'s value and its price as these two are different measures arrived at by different means. Investors typically determine if Snail, is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Snail,'s 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.