Cerberus Cyber Stock Forecast - Polynomial Regression

CISO Stock  USD 1.15  0.03  2.54%   
The Polynomial Regression forecasted value of Cerberus Cyber Sentinel on the next trading day is expected to be 0.95 with a mean absolute deviation of  0.15  and the sum of the absolute errors of 9.14. Cerberus Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Cerberus Cyber stock prices and determine the direction of Cerberus Cyber Sentinel's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Cerberus Cyber's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Cerberus Cyber's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Cerberus Cyber's systematic risk associated with finding meaningful patterns of Cerberus Cyber fundamentals over time.
Check out Historical Fundamental Analysis of Cerberus Cyber to cross-verify your projections.
  
At this time, Cerberus Cyber's Inventory Turnover is very stable compared to the past year. As of the 28th of March 2024, Asset Turnover is likely to grow to 0.96, while Payables Turnover is likely to drop 7.28. . As of the 28th of March 2024, Common Stock Shares Outstanding is likely to drop to about 128.8 M. In addition to that, Net Loss is likely to grow to about (33.5 M).

Open Interest Against 2024-04-19 Cerberus Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Cerberus Cyber'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 Cerberus Cyber's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Cerberus Cyber stock based on available contracts left at the end of a trading day.
No Open Interest
Please note that to derive more accurate forecasting about market movement from the current Cerberus Cyber's open interest, investors have to compare it to Cerberus Cyber'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 Cerberus Cyber 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 Cerberus. 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 Cerberus Cyber 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 Cerberus Cyber's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Cerberus Cyber's price structures and extracts relationships that further increase the generated results' accuracy.
Cerberus Cyber polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Cerberus Cyber Sentinel as well as the accuracy indicators are determined from the period prices.

Cerberus Cyber Polynomial Regression Price Forecast For the 29th of March

Given 90 days horizon, the Polynomial Regression forecasted value of Cerberus Cyber Sentinel on the next trading day is expected to be 0.95 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.03, and the sum of the absolute errors of 9.14.
Please note that although there have been many attempts to predict Cerberus 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 Cerberus Cyber's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cerberus Cyber Stock Forecast Pattern

Backtest Cerberus CyberCerberus Cyber Price PredictionBuy or Sell Advice 

Cerberus Cyber Forecasted Value

In the context of forecasting Cerberus Cyber'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. Cerberus Cyber's downside and upside margins for the forecasting period are 0.01 and 9.95, respectively. We have considered Cerberus Cyber'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
1.15
0.95
Expected Value
9.95
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 Cerberus Cyber stock data series using in forecasting. Note that when a statistical model is used to represent Cerberus Cyber 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 Criteria116.5884
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1474
MAPEMean absolute percentage error0.0937
SAESum of the absolute errors9.1383
A single variable polynomial regression model attempts to put a curve through the Cerberus Cyber 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 Cerberus Cyber

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cerberus Cyber Sentinel. 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 Cerberus Cyber'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
0.071.3110.31
Details
Intrinsic
Valuation
LowRealHigh
0.051.0510.05
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Cerberus Cyber. Your research has to be compared to or analyzed against Cerberus Cyber's peers to derive any actionable benefits. When done correctly, Cerberus Cyber'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 Cerberus Cyber Sentinel.

Other Forecasting Options for Cerberus Cyber

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

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

Cerberus Cyber Sentinel 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 Cerberus Cyber'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 Cerberus Cyber's current price.

Cerberus Cyber Market Strength Events

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

Cerberus Cyber Risk Indicators

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

Pair Trading with Cerberus Cyber

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Cerberus Cyber position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cerberus Cyber will appreciate offsetting losses from the drop in the long position's value.

Moving against Cerberus Stock

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  0.45NN Nextnav Acquisition Corp TrendingPairCorr
  0.44SQ Block Inc Sell-off TrendPairCorr
  0.44MLGO MicroAlgo Downward RallyPairCorr
  0.41NTNX Nutanix Report 22nd of May 2024 PairCorr
The ability to find closely correlated positions to Cerberus Cyber could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cerberus Cyber when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Cerberus Cyber - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Cerberus Cyber Sentinel to buy it.
The correlation of Cerberus Cyber is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Cerberus Cyber moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cerberus Cyber Sentinel moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Cerberus Cyber can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Cerberus Cyber Sentinel offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Cerberus Cyber'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 Cerberus Cyber Sentinel Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Cerberus Cyber Sentinel Stock:
Check out Historical Fundamental Analysis of Cerberus Cyber to cross-verify your projections.
You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.

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Is Cerberus Cyber'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 Cerberus Cyber. If investors know Cerberus 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 Cerberus Cyber listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(7.65)
Revenue Per Share
5.579
Quarterly Revenue Growth
0.25
Return On Assets
(0.26)
Return On Equity
(1.57)
The market value of Cerberus Cyber Sentinel is measured differently than its book value, which is the value of Cerberus that is recorded on the company's balance sheet. Investors also form their own opinion of Cerberus Cyber's value that differs from its market value or its book value, called intrinsic value, which is Cerberus Cyber'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 Cerberus Cyber's market value can be influenced by many factors that don't directly affect Cerberus Cyber'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 Cerberus Cyber's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cerberus Cyber is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cerberus Cyber'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.