Nutralife Biosciences Stock Market Value
NLBS Stock | USD 0.0001 0.00 0.00% |
Symbol | Nutralife |
Nutralife Biosciences 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Nutralife Biosciences' pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Nutralife Biosciences.
12/29/2023 |
| 11/23/2024 |
If you would invest 0.00 in Nutralife Biosciences on December 29, 2023 and sell it all today you would earn a total of 0.00 from holding Nutralife Biosciences or generate 0.0% return on investment in Nutralife Biosciences over 330 days. NutraLife BioSciences, Inc., together with its subsidiaries, engages in the development, manufacture, and distribution o... More
Nutralife Biosciences Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Nutralife Biosciences' pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Nutralife Biosciences upside and downside potential and time the market with a certain degree of confidence.
Nutralife Biosciences Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Nutralife Biosciences' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Nutralife Biosciences' standard deviation. In reality, there are many statistical measures that can use Nutralife Biosciences historical prices to predict the future Nutralife Biosciences' volatility.Nutralife Biosciences Backtested Returns
We have found three technical indicators for Nutralife Biosciences, which you can use to evaluate the volatility of the firm. The company secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and Nutralife Biosciences are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Nutralife Biosciences has no correlation between past and present. Overlapping area represents the amount of predictability between Nutralife Biosciences time series from 29th of December 2023 to 11th of June 2024 and 11th of June 2024 to 23rd of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Nutralife Biosciences price movement. The serial correlation of 0.0 indicates that just 0.0% of current Nutralife Biosciences price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | -0.4 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Nutralife Biosciences lagged returns against current returns
Autocorrelation, which is Nutralife Biosciences pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Nutralife Biosciences' pink sheet expected returns. We can calculate the autocorrelation of Nutralife Biosciences returns to help us make a trade decision. For example, suppose you find that Nutralife Biosciences has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Nutralife Biosciences regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Nutralife Biosciences pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Nutralife Biosciences pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Nutralife Biosciences pink sheet over time.
Current vs Lagged Prices |
Timeline |
Nutralife Biosciences Lagged Returns
When evaluating Nutralife Biosciences' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Nutralife Biosciences pink sheet have on its future price. Nutralife Biosciences autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Nutralife Biosciences autocorrelation shows the relationship between Nutralife Biosciences pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Nutralife Biosciences.
Regressed Prices |
Timeline |
Thematic Opportunities
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Additional Tools for Nutralife Pink Sheet Analysis
When running Nutralife Biosciences' price analysis, check to measure Nutralife Biosciences' 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 Nutralife Biosciences is operating at the current time. Most of Nutralife Biosciences' value examination focuses on studying past and present price action to predict the probability of Nutralife Biosciences' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Nutralife Biosciences' price. Additionally, you may evaluate how the addition of Nutralife Biosciences to your portfolios can decrease your overall portfolio volatility.