Grid Dynamics Stock Forecast - Simple Regression

GDYN Stock  USD 17.71  0.90  5.35%   
The Simple Regression forecasted value of Grid Dynamics Holdings on the next trading day is expected to be 17.47 with a mean absolute deviation of 0.56 and the sum of the absolute errors of 34.12. Grid Stock Forecast is based on your current time horizon. Although Grid Dynamics' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Grid Dynamics' systematic risk associated with finding meaningful patterns of Grid Dynamics fundamentals over time.
  
At this time, Grid Dynamics' Payables Turnover is very stable compared to the past year. As of the 22nd of November 2024, Receivables Turnover is likely to grow to 6.24, though Inventory Turnover is likely to grow to (47.47). . As of the 22nd of November 2024, Common Stock Shares Outstanding is likely to drop to about 58.2 M. In addition to that, Net Loss is likely to grow to about (25 M).
Simple Regression model is a single variable regression model that attempts to put a straight line through Grid Dynamics 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.

Grid Dynamics Simple Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Regression forecasted value of Grid Dynamics Holdings on the next trading day is expected to be 17.47 with a mean absolute deviation of 0.56, mean absolute percentage error of 0.56, and the sum of the absolute errors of 34.12.
Please note that although there have been many attempts to predict Grid 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 Grid Dynamics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Grid Dynamics Stock Forecast Pattern

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Grid Dynamics Forecasted Value

In the context of forecasting Grid Dynamics' 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. Grid Dynamics' downside and upside margins for the forecasting period are 14.70 and 20.24, respectively. We have considered Grid Dynamics' 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
17.71
17.47
Expected Value
20.24
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 Grid Dynamics stock data series using in forecasting. Note that when a statistical model is used to represent Grid Dynamics 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 Criteria117.531
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5593
MAPEMean absolute percentage error0.036
SAESum of the absolute errors34.1188
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 Grid Dynamics Holdings 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 Grid Dynamics

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Grid Dynamics Holdings. 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 Grid Dynamics' 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
14.9417.7120.48
Details
Intrinsic
Valuation
LowRealHigh
14.3117.0819.85
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.3516.6919.04
Details
7 Analysts
Consensus
LowTargetHigh
12.1313.3314.80
Details

Other Forecasting Options for Grid Dynamics

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

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

Grid Dynamics Holdings 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 Grid Dynamics' 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 Grid Dynamics' current price.

Grid Dynamics Market Strength Events

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

Grid Dynamics Risk Indicators

The analysis of Grid Dynamics' 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 Grid Dynamics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting grid 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.
When determining whether Grid Dynamics Holdings offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Grid Dynamics' 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 Grid Dynamics Holdings Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Grid Dynamics Holdings Stock:
Check out Historical Fundamental Analysis of Grid Dynamics to cross-verify your projections.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Is Internet Services & Infrastructure 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 Grid Dynamics. If investors know Grid 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 Grid Dynamics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
4.582
Earnings Share
0.03
Revenue Per Share
4.304
Quarterly Revenue Growth
0.129
Return On Assets
(0.0004)
The market value of Grid Dynamics Holdings is measured differently than its book value, which is the value of Grid that is recorded on the company's balance sheet. Investors also form their own opinion of Grid Dynamics' value that differs from its market value or its book value, called intrinsic value, which is Grid Dynamics' 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 Grid Dynamics' market value can be influenced by many factors that don't directly affect Grid Dynamics' 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 Grid Dynamics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Grid Dynamics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Grid Dynamics' 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.