Nsav Holding Stock Statistic Functions Beta
NSAV Stock | USD 0.0007 0.0001 12.50% |
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The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on NSAV Holding correlated with the market. If Beta is less than 0 NSAV Holding generally moves in the opposite direction as compared to the market. If NSAV Holding Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one NSAV Holding is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of NSAV Holding is generally in the same direction as the market. If Beta > 1 NSAV Holding moves generally in the same direction as, but more than the movement of the benchmark.
NSAV Holding Technical Analysis Modules
Most technical analysis of NSAV Holding 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 NSAV from various momentum indicators to cycle indicators. When you analyze NSAV 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.Cycle Indicators | ||
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Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
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Volume Indicators |
About NSAV Holding 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 NSAV Holding. We use our internally-developed statistical techniques to arrive at the intrinsic value of NSAV Holding based on widely used predictive technical indicators. In general, we focus on analyzing NSAV Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build NSAV Holding'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 NSAV Holding's intrinsic value. In addition to deriving basic predictive indicators for NSAV Holding, we also check how macroeconomic factors affect NSAV Holding price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards NSAV Holding in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, NSAV Holding's short interest history, or implied volatility extrapolated from NSAV Holding options trading.
Trending Themes
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Additional Tools for NSAV Pink Sheet Analysis
When running NSAV Holding's price analysis, check to measure NSAV Holding'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 NSAV Holding is operating at the current time. Most of NSAV Holding's value examination focuses on studying past and present price action to predict the probability of NSAV Holding's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NSAV Holding's price. Additionally, you may evaluate how the addition of NSAV Holding to your portfolios can decrease your overall portfolio volatility.