Godaddy Stock Forecast - Polynomial Regression

GDDY Stock  USD 143.29  0.08  0.06%   
The Polynomial Regression forecasted value of Godaddy on the next trading day is expected to be 148.52 with a mean absolute deviation of 1.62 and the sum of the absolute errors of 98.75. Godaddy Stock Forecast is based on your current time horizon.
  
At this time, Godaddy's Payables Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to rise to 18.08 in 2024, despite the fact that Inventory Turnover is likely to grow to (13.03). . Net Income Applicable To Common Shares is likely to rise to about 425.3 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 150.2 M in 2024.

Open Interest Against 2024-08-02 Godaddy Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Godaddy'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 Godaddy's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Godaddy 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 Godaddy's open interest, investors have to compare it to Godaddy'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 Godaddy 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 Godaddy. 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 Godaddy 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 Godaddy's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Godaddy's price structures and extracts relationships that further increase the accuracy of the generated results. Godaddy polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Godaddy as well as the accuracy indicators are determined from the period prices.

Godaddy Polynomial Regression Price Forecast For the 28th of July

Given 90 days horizon, the Polynomial Regression forecasted value of Godaddy on the next trading day is expected to be 148.52 with a mean absolute deviation of 1.62, mean absolute percentage error of 3.94, and the sum of the absolute errors of 98.75.
Please note that although there have been many attempts to predict Godaddy 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 Godaddy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Godaddy Stock Forecast Pattern

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Godaddy Forecasted Value

In the context of forecasting Godaddy'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. Godaddy's downside and upside margins for the forecasting period are 147.31 and 149.73, respectively. We have considered Godaddy'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
143.29
147.31
Downside
148.52
Expected Value
149.73
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 Godaddy stock data series using in forecasting. Note that when a statistical model is used to represent Godaddy 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 Criteria119.4814
BiasArithmetic mean of the errors None
MADMean absolute deviation1.6189
MAPEMean absolute percentage error0.0116
SAESum of the absolute errors98.7537
A single variable polynomial regression model attempts to put a curve through the Godaddy 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 Godaddy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Godaddy. 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 Godaddy'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
142.11143.32144.53
Details
Intrinsic
Valuation
LowRealHigh
127.08128.29157.62
Details
17 Analysts
Consensus
LowTargetHigh
84.0892.40102.56
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.841.071.22
Details

Other Forecasting Options for Godaddy

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

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 Risk & Return  Correlation

Godaddy 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 Godaddy'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 Godaddy's current price.

Godaddy Market Strength Events

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

Godaddy Risk Indicators

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

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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 Godaddy Stock Analysis

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