ESS Tech Stock Forecast - Polynomial Regression

GWH Stock  USD 3.40  0.08  2.41%   
The Polynomial Regression forecasted value of ESS Tech on the next trading day is expected to be 3.17 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 21.04. ESS Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of ESS Tech's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The ESS Tech's current Inventory Turnover is estimated to increase to 5.75. The ESS Tech's current Payables Turnover is estimated to increase to 7.03. The ESS Tech's current Common Stock Shares Outstanding is estimated to increase to about 193.2 M, while Net Loss is projected to decrease to (73.7 M).
ESS Tech polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for ESS Tech as well as the accuracy indicators are determined from the period prices.

ESS Tech Polynomial Regression Price Forecast For the 23rd of March

Given 90 days horizon, the Polynomial Regression forecasted value of ESS Tech on the next trading day is expected to be 3.17 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.16, and the sum of the absolute errors of 21.04.
Please note that although there have been many attempts to predict ESS 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 ESS Tech's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ESS Tech Stock Forecast Pattern

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ESS Tech Forecasted Value

In the context of forecasting ESS Tech'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. ESS Tech's downside and upside margins for the forecasting period are 0.03 and 11.17, respectively. We have considered ESS Tech'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
3.40
3.17
Expected Value
11.17
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of ESS Tech stock data series using in forecasting. Note that when a statistical model is used to represent ESS Tech 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 Criteria118.1202
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3394
MAPEMean absolute percentage error0.0721
SAESum of the absolute errors21.0423
A single variable polynomial regression model attempts to put a curve through the ESS Tech historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for ESS Tech

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ESS Tech. 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 ESS Tech'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
0.173.4811.48
Details
Intrinsic
Valuation
LowRealHigh
0.265.1413.14
Details
6 Analysts
Consensus
LowTargetHigh
9.5610.5011.66
Details

Other Forecasting Options for ESS Tech

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

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

ESS Tech 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 ESS Tech'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 ESS Tech's current price.

ESS Tech Market Strength Events

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

ESS Tech Risk Indicators

The analysis of ESS Tech'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 ESS Tech's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ess 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.

Currently Active Assets on Macroaxis

When determining whether ESS Tech offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ESS Tech's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ess Tech Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Ess Tech Stock:
Check out Historical Fundamental Analysis of ESS Tech to cross-verify your projections.
For more detail on how to invest in ESS Stock please use our How to Invest in ESS Tech guide.
You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Is Electrical Components & Equipment 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 ESS Tech. If investors know ESS 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 ESS Tech listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(6.78)
Revenue Per Share
0.534
Quarterly Revenue Growth
(0.77)
Return On Assets
(0.42)
Return On Equity
(0.95)
The market value of ESS Tech is measured differently than its book value, which is the value of ESS that is recorded on the company's balance sheet. Investors also form their own opinion of ESS Tech's value that differs from its market value or its book value, called intrinsic value, which is ESS Tech'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 ESS Tech's market value can be influenced by many factors that don't directly affect ESS Tech'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 ESS Tech's value and its price as these two are different measures arrived at by different means. Investors typically determine if ESS Tech is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ESS Tech'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.