NanoVibronix Stock Forecast - Simple Regression

NAOV Stock  USD 0.80  0.03  3.61%   
The Simple Regression forecasted value of NanoVibronix on the next trading day is expected to be 0.72 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.81. NanoVibronix Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast NanoVibronix stock prices and determine the direction of NanoVibronix's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of NanoVibronix's historical fundamentals, such as revenue growth or operating cash flow patterns. Although NanoVibronix's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of NanoVibronix's systematic risk associated with finding meaningful patterns of NanoVibronix fundamentals over time.
Check out Historical Fundamental Analysis of NanoVibronix to cross-verify your projections.
For more information on how to buy NanoVibronix Stock please use our How to Invest in NanoVibronix guide.
  
At this time, NanoVibronix's Payables Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to climb to 199.76 in 2024, whereas Inventory Turnover is likely to drop 0.26 in 2024. . Common Stock Shares Outstanding is likely to climb to about 1.8 M in 2024, whereas Net Loss is likely to drop (5.1 M) in 2024.
Most investors in NanoVibronix 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 NanoVibronix's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets NanoVibronix's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through NanoVibronix 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.

NanoVibronix Simple Regression Price Forecast For the 9th of June

Given 90 days horizon, the Simple Regression forecasted value of NanoVibronix on the next trading day is expected to be 0.72 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.81.
Please note that although there have been many attempts to predict NanoVibronix 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 NanoVibronix's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

NanoVibronix Stock Forecast Pattern

Backtest NanoVibronixNanoVibronix Price PredictionBuy or Sell Advice 

NanoVibronix Forecasted Value

In the context of forecasting NanoVibronix'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. NanoVibronix's downside and upside margins for the forecasting period are 0.01 and 4.21, respectively. We have considered NanoVibronix'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
0.80
0.72
Expected Value
4.21
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 NanoVibronix stock data series using in forecasting. Note that when a statistical model is used to represent NanoVibronix 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 Criteria113.9884
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0453
MAPEMean absolute percentage error0.057
SAESum of the absolute errors2.8072
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 NanoVibronix 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 NanoVibronix

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NanoVibronix. 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 NanoVibronix'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
0.040.804.29
Details
Intrinsic
Valuation
LowRealHigh
0.030.684.17
Details

Other Forecasting Options for NanoVibronix

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

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

NanoVibronix 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 NanoVibronix'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 NanoVibronix's current price.

NanoVibronix Market Strength Events

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

NanoVibronix Risk Indicators

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

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

Moving together with NanoVibronix Stock

  0.74ABT Abbott Laboratories Buyout TrendPairCorr

Moving against NanoVibronix Stock

  0.79KIDS Orthopediatrics CorpPairCorr
  0.62LIVN LivaNova PLCPairCorr
  0.6SILK Silk Road MedicalPairCorr
  0.51RDNT RadNet IncPairCorr
  0.44SNSE Sensei BiotherapeuticsPairCorr
The ability to find closely correlated positions to NanoVibronix could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NanoVibronix 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 NanoVibronix - 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 NanoVibronix to buy it.
The correlation of NanoVibronix 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 NanoVibronix moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NanoVibronix 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 NanoVibronix 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 NanoVibronix Stock Analysis

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