Nova Stock Statistic Functions Linear Regression

NVMI Stock  USD 210.77  2.89  1.39%   
Nova statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Nova. Nova value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression function function is designed to identify and follow existing trends. Nova statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Linear Regression model generates relationship between price series of Nova and its peer or benchmark and helps predict Nova future price from its past values.

Nova Technical Analysis Modules

Most technical analysis of Nova help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Nova from various momentum indicators to cycle indicators. When you analyze Nova charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Nova Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Nova. We use our internally-developed statistical techniques to arrive at the intrinsic value of Nova based on widely used predictive technical indicators. In general, we focus on analyzing Nova Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Nova's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Nova's intrinsic value. In addition to deriving basic predictive indicators for Nova, we also check how macroeconomic factors affect Nova price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Days Sales Outstanding60.0469.9178.4154.62
PTB Ratio8.773.995.284.05
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Nova'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
208.38210.77213.16
Details
Intrinsic
Valuation
LowRealHigh
189.69233.71236.10
Details
Naive
Forecast
LowNextHigh
206.72209.11211.50
Details
6 Analysts
Consensus
LowTargetHigh
120.12132.00146.52
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Nova. Your research has to be compared to or analyzed against Nova's peers to derive any actionable benefits. When done correctly, Nova'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 Nova.

Be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

Generate Optimal Portfolios

Align your risk and return expectations

By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
When determining whether Nova offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Nova'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 Nova Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Nova Stock:
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Nova. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in population.
For more detail on how to invest in Nova Stock please use our How to Invest in Nova guide.
You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

Complementary Tools for Nova Stock analysis

When running Nova's price analysis, check to measure Nova'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 Nova is operating at the current time. Most of Nova's value examination focuses on studying past and present price action to predict the probability of Nova's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Nova's price. Additionally, you may evaluate how the addition of Nova to your portfolios can decrease your overall portfolio volatility.
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Is Nova'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 Nova. If investors know Nova 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 Nova listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.045
Earnings Share
4.32
Revenue Per Share
18.243
Quarterly Revenue Growth
0.073
Return On Assets
0.0754
The market value of Nova is measured differently than its book value, which is the value of Nova that is recorded on the company's balance sheet. Investors also form their own opinion of Nova's value that differs from its market value or its book value, called intrinsic value, which is Nova'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 Nova's market value can be influenced by many factors that don't directly affect Nova'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 Nova's value and its price as these two are different measures arrived at by different means. Investors typically determine if Nova is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Nova'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.