VERB TECHNOLOGY Stock Forecast - Double Exponential Smoothing
| VERB Stock | USD 9.50 0.35 3.83% |
The Double Exponential Smoothing forecasted value of VERB TECHNOLOGY PANY on the next trading day is expected to be 9.38 with a mean absolute deviation of 0.84 and the sum of the absolute errors of 49.57. VERB Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast VERB TECHNOLOGY stock prices and determine the direction of VERB TECHNOLOGY PANY's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of VERB TECHNOLOGY's historical fundamentals, such as revenue growth or operating cash flow patterns.
VERB |
VERB TECHNOLOGY Double Exponential Smoothing Price Forecast For the 29th of November
Given 90 days horizon, the Double Exponential Smoothing forecasted value of VERB TECHNOLOGY PANY on the next trading day is expected to be 9.38 with a mean absolute deviation of 0.84, mean absolute percentage error of 1.63, and the sum of the absolute errors of 49.57.Please note that although there have been many attempts to predict VERB 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 VERB TECHNOLOGY's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
VERB TECHNOLOGY Stock Forecast Pattern
| Backtest VERB TECHNOLOGY | VERB TECHNOLOGY Price Prediction | Buy or Sell Advice |
VERB TECHNOLOGY Forecasted Value
In the context of forecasting VERB TECHNOLOGY'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. VERB TECHNOLOGY's downside and upside margins for the forecasting period are 0.1 and 23.27, respectively. We have considered VERB TECHNOLOGY'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.
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 VERB TECHNOLOGY stock data series using in forecasting. Note that when a statistical model is used to represent VERB TECHNOLOGY 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | -0.1972 |
| MAD | Mean absolute deviation | 0.8402 |
| MAPE | Mean absolute percentage error | 0.0852 |
| SAE | Sum of the absolute errors | 49.5716 |
Predictive Modules for VERB TECHNOLOGY
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VERB TECHNOLOGY PANY. 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.Other Forecasting Options for VERB TECHNOLOGY
For every potential investor in VERB, whether a beginner or expert, VERB TECHNOLOGY's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. VERB Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in VERB. Basic forecasting techniques help filter out the noise by identifying VERB TECHNOLOGY's price trends.VERB TECHNOLOGY 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 VERB TECHNOLOGY stock to make a market-neutral strategy. Peer analysis of VERB TECHNOLOGY could also be used in its relative valuation, which is a method of valuing VERB TECHNOLOGY by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
VERB TECHNOLOGY PANY 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 VERB TECHNOLOGY'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 VERB TECHNOLOGY's current price.| Cycle Indicators | ||
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| Math Transform | ||
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VERB TECHNOLOGY Market Strength Events
Market strength indicators help investors to evaluate how VERB TECHNOLOGY stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading VERB TECHNOLOGY shares will generate the highest return on investment. By undertsting and applying VERB TECHNOLOGY stock market strength indicators, traders can identify VERB TECHNOLOGY PANY entry and exit signals to maximize returns.
VERB TECHNOLOGY Risk Indicators
The analysis of VERB TECHNOLOGY'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 VERB TECHNOLOGY's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting verb 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.
| Mean Deviation | 8.32 | |||
| Semi Deviation | 9.47 | |||
| Standard Deviation | 13.6 | |||
| Variance | 185.02 | |||
| Downside Variance | 94.68 | |||
| Semi Variance | 89.75 | |||
| Expected Short fall | (10.63) |
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 VERB TECHNOLOGY PANY offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of VERB TECHNOLOGY'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 Verb Technology Pany Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Verb Technology Pany Stock:Check out Historical Fundamental Analysis of VERB TECHNOLOGY to cross-verify your projections. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Is Application Software 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 VERB TECHNOLOGY. If investors know VERB 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 VERB TECHNOLOGY listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (5.27) | Revenue Per Share 0.547 | Quarterly Revenue Growth 3.414 | Return On Assets (0.45) | Return On Equity (1.16) |
The market value of VERB TECHNOLOGY PANY is measured differently than its book value, which is the value of VERB that is recorded on the company's balance sheet. Investors also form their own opinion of VERB TECHNOLOGY's value that differs from its market value or its book value, called intrinsic value, which is VERB TECHNOLOGY'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 VERB TECHNOLOGY's market value can be influenced by many factors that don't directly affect VERB TECHNOLOGY'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 VERB TECHNOLOGY's value and its price as these two are different measures arrived at by different means. Investors typically determine if VERB TECHNOLOGY is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VERB TECHNOLOGY'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.