Cutera Pink Sheet Forecast - Simple Regression

CUTR Stock  USD 0.1  0.01  7.67%   
The Simple Regression forecasted value of Cutera Inc on the next trading day is expected to be 0.30 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.43. Cutera Pink Sheet Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Cutera 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.

Cutera Simple Regression Price Forecast For the 22nd of March

Given 90 days horizon, the Simple Regression forecasted value of Cutera Inc on the next trading day is expected to be 0.30 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.43.
Please note that although there have been many attempts to predict Cutera Pink Sheet 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 Pink Sheet Forecast Pattern

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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 Cutera pink sheet data series using in forecasting. Note that when a statistical model is used to represent Cutera pink sheet, 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 Criteria113.6206
BiasArithmetic mean of the errors None
MADMean absolute deviation0.089
MAPEMean absolute percentage error0.3724
SAESum of the absolute errors5.427
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 Cutera Inc 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 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 pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
0.010.1013.43
Details
Intrinsic
Valuation
LowRealHigh
0.000.0913.42
Details

View Cutera Related Equities

 Risk & Return  Correlation

Cutera Market Strength Events

Market strength indicators help investors to evaluate how Cutera pink sheet 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 pink sheet 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 pink sheet 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 Pink Sheet

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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 Pink Sheet 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.