Cutera Stock Forecast - Polynomial Regression

CUTR Stock  USD 0.48  0.02  5.00%   
The Polynomial Regression forecasted value of Cutera Inc on the next trading day is expected to be 0.35 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.97. Cutera Stock Forecast is based on your current time horizon. Although Cutera's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Cutera's systematic risk associated with finding meaningful patterns of Cutera fundamentals over time.
  
At this time, Cutera's Inventory Turnover is relatively stable compared to the past year. As of 11/29/2024, Payables Turnover is likely to grow to 14.21, while Receivables Turnover is likely to drop 4.08. . As of 11/29/2024, Common Stock Shares Outstanding is likely to drop to about 15.1 M. In addition to that, Net Loss is likely to grow to about (70.4 M).
Cutera polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Cutera Inc as well as the accuracy indicators are determined from the period prices.

Cutera Polynomial Regression Price Forecast For the 30th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Cutera Inc on the next trading day is expected to be 0.35 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.97.
Please note that although there have been many attempts to predict Cutera 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 Cutera's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cutera Stock Forecast Pattern

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Cutera Forecasted Value

In the context of forecasting Cutera'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. Cutera's downside and upside margins for the forecasting period are 0 and 7.27, respectively. We have considered Cutera'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
0.48
0.35
Expected Value
7.27
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 Cutera stock data series using in forecasting. Note that when a statistical model is used to represent Cutera 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 Criteria112.4617
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0486
MAPEMean absolute percentage error0.1
SAESum of the absolute errors2.9662
A single variable polynomial regression model attempts to put a curve through the Cutera 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 Cutera

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cutera Inc. 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 Cutera'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
0.020.467.38
Details
Intrinsic
Valuation
LowRealHigh
0.306.1013.02
Details
4 Analysts
Consensus
LowTargetHigh
20.9323.0025.53
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-1.28-1.26-1.24
Details

Other Forecasting Options for Cutera

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

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 Risk & Return  Correlation

Cutera Inc 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 Cutera'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 Cutera's current price.

Cutera Market Strength Events

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

Cutera Risk Indicators

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

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 Cutera 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 Cutera will appreciate offsetting losses from the drop in the long position's value.

Moving against Cutera Stock

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The ability to find closely correlated positions to Cutera could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cutera 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 Cutera - 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 Cutera Inc to buy it.
The correlation of Cutera 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 Cutera moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cutera Inc 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 Cutera 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

Additional Tools for Cutera Stock Analysis

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