Polestar Automotive Stock Forecast - Double Exponential Smoothing

PSNYW Stock  USD 0.14  0.01  9.00%   
The Double Exponential Smoothing forecasted value of Polestar Automotive Holding on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.47. Polestar Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Polestar Automotive stock prices and determine the direction of Polestar Automotive Holding's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Polestar Automotive's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Polestar Automotive's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Polestar Automotive's systematic risk associated with finding meaningful patterns of Polestar Automotive fundamentals over time.
Check out Historical Fundamental Analysis of Polestar Automotive to cross-verify your projections.
  
At this time, Polestar Automotive's Payables Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to climb to 6.56 in 2024, whereas Inventory Turnover is likely to drop 1.81 in 2024. . Common Stock Shares Outstanding is likely to drop to about 1.7 B in 2024. Net Loss is likely to drop to about (440.2 M) in 2024.
Most investors in Polestar Automotive cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Polestar Automotive's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Polestar Automotive's price structures and extracts relationships that further increase the generated results' accuracy.
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 Polestar Automotive works best with periods where there are trends or seasonality.

Polestar Automotive Double Exponential Smoothing Price Forecast For the 5th of June

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Polestar Automotive Holding on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0001, and the sum of the absolute errors of 0.47.
Please note that although there have been many attempts to predict Polestar 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 Polestar Automotive's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Polestar Automotive Stock Forecast Pattern

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Polestar Automotive Forecasted Value

In the context of forecasting Polestar Automotive'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. Polestar Automotive's downside and upside margins for the forecasting period are 0 and 6.43, respectively. We have considered Polestar Automotive'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
0.14
0.14
Expected Value
6.43
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 Polestar Automotive stock data series using in forecasting. Note that when a statistical model is used to represent Polestar Automotive 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 8.0E-4
MADMean absolute deviation0.008
MAPEMean absolute percentage error0.0515
SAESum of the absolute errors0.4722
When Polestar Automotive Holding 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 Polestar Automotive Holding 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 Polestar Automotive observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Polestar Automotive

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Polestar Automotive. 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 Polestar Automotive's 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
0.010.156.43
Details
Intrinsic
Valuation
LowRealHigh
0.010.136.41
Details

Other Forecasting Options for Polestar Automotive

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

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

Polestar Automotive 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 Polestar Automotive'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 Polestar Automotive's current price.

Polestar Automotive Market Strength Events

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

Polestar Automotive Risk Indicators

The analysis of Polestar Automotive'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 Polestar Automotive's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting polestar 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Polestar Stock Analysis

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