Organic Sales And Stock Market Value
OGSM Stock | USD 0.0001 0.00 0.00% |
Symbol | Organic |
Organic Sales '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 Organic Sales' 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 Organic Sales.
10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Organic Sales on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Organic Sales and or generate 0.0% return on investment in Organic Sales over 30 days. Organic Sales is related to or competes with FitLife Brands,, HUMANA, SCOR PK, Barloworld, Morningstar Unconstrained, High-yield Municipal, and Thrivent High. Organic Sales and Marketing, Inc. engages in the sale and marketing of non-food natural and organically-certified produc... More
Organic Sales 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 Organic Sales' 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 Organic Sales and upside and downside potential and time the market with a certain degree of confidence.
Organic Sales Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Organic Sales' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Organic Sales' standard deviation. In reality, there are many statistical measures that can use Organic Sales historical prices to predict the future Organic Sales' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Organic Sales' 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.
Organic Sales Backtested Returns
We have found three technical indicators for Organic Sales, which you can use to evaluate the volatility of the company. The company holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and Organic Sales are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Organic Sales and has no correlation between past and present. Overlapping area represents the amount of predictability between Organic Sales time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Organic Sales price movement. The serial correlation of 0.0 indicates that just 0.0% of current Organic Sales price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Organic Sales lagged returns against current returns
Autocorrelation, which is Organic Sales 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 Organic Sales' pink sheet expected returns. We can calculate the autocorrelation of Organic Sales returns to help us make a trade decision. For example, suppose you find that Organic Sales 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 |
Organic Sales 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 Organic Sales pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Organic Sales pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Organic Sales pink sheet over time.
Current vs Lagged Prices |
Timeline |
Organic Sales Lagged Returns
When evaluating Organic Sales' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Organic Sales pink sheet have on its future price. Organic Sales 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, Organic Sales autocorrelation shows the relationship between Organic Sales pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Organic Sales and.
Regressed Prices |
Timeline |
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Organic Sales financial ratios help investors to determine whether Organic Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Organic with respect to the benefits of owning Organic Sales security.