Walkme Stock Forecast - Simple Regression

WKME Stock  USD 8.39  0.07  0.84%   
The Simple Regression forecasted value of Walkme on the next trading day is expected to be 7.76 with a mean absolute deviation of  0.23  and the sum of the absolute errors of 14.29. Walkme Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Walkme stock prices and determine the direction of Walkme's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Walkme's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Walkme's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Walkme's systematic risk associated with finding meaningful patterns of Walkme fundamentals over time.
Check out Historical Fundamental Analysis of Walkme to cross-verify your projections.
For information on how to trade Walkme Stock refer to our How to Trade Walkme Stock guide.
  
At present, Walkme's Fixed Asset Turnover is projected to slightly grow based on the last few years of reporting. The current year's Asset Turnover is expected to grow to 0.67, whereas Inventory Turnover is forecasted to decline to 2.24. . As of May 19, 2024, Common Stock Shares Outstanding is expected to decline to about 82 M. In addition to that, Net Loss is expected to decline to about (87.5 M).

Open Interest Against 2024-06-21 Walkme Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Walkme'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 Walkme's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Walkme 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 Walkme's open interest, investors have to compare it to Walkme'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 Walkme 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 Walkme. 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.
Most investors in Walkme 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 Walkme's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Walkme's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Walkme price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Walkme Simple Regression Price Forecast For the 20th of May

Given 90 days horizon, the Simple Regression forecasted value of Walkme on the next trading day is expected to be 7.76 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.08, and the sum of the absolute errors of 14.29.
Please note that although there have been many attempts to predict Walkme 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 Walkme's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Walkme Stock Forecast Pattern

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Walkme Forecasted Value

In the context of forecasting Walkme'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. Walkme's downside and upside margins for the forecasting period are 6.13 and 9.39, respectively. We have considered Walkme'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
8.39
7.76
Expected Value
9.39
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Walkme stock data series using in forecasting. Note that when a statistical model is used to represent Walkme 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 Criteria115.6186
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2343
MAPEMean absolute percentage error0.0281
SAESum of the absolute errors14.2942
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Walkme historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Walkme

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Walkme. 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 Walkme'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
6.808.4310.06
Details
Intrinsic
Valuation
LowRealHigh
7.5510.5312.16
Details
9 Analysts
Consensus
LowTargetHigh
11.4312.5613.94
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Walkme. Your research has to be compared to or analyzed against Walkme's peers to derive any actionable benefits. When done correctly, Walkme'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 Walkme.

Other Forecasting Options for Walkme

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

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

Walkme 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 Walkme'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 Walkme's current price.

Walkme Market Strength Events

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

Walkme Risk Indicators

The analysis of Walkme'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 Walkme's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting walkme 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.
When determining whether Walkme is a strong investment it is important to analyze Walkme'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 Walkme's future performance. For an informed investment choice regarding Walkme Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Walkme to cross-verify your projections.
For information on how to trade Walkme Stock refer to our How to Trade Walkme Stock guide.
You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

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When running Walkme's price analysis, check to measure Walkme'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 Walkme is operating at the current time. Most of Walkme's value examination focuses on studying past and present price action to predict the probability of Walkme's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Walkme's price. Additionally, you may evaluate how the addition of Walkme to your portfolios can decrease your overall portfolio volatility.
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Is Walkme's industry 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 Walkme. If investors know Walkme 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 Walkme listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.67)
Revenue Per Share
3.002
Quarterly Revenue Growth
0.047
Return On Assets
(0.09)
Return On Equity
(0.21)
The market value of Walkme is measured differently than its book value, which is the value of Walkme that is recorded on the company's balance sheet. Investors also form their own opinion of Walkme's value that differs from its market value or its book value, called intrinsic value, which is Walkme'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 Walkme's market value can be influenced by many factors that don't directly affect Walkme'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 Walkme's value and its price as these two are different measures arrived at by different means. Investors typically determine if Walkme is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Walkme'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.