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.
| 04/08/2024 |
| 05/08/2024 |
If you would invest 0.00 in Organic Sales on April 8, 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 Ambase Corp, and Spring Valley. 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 four technical indicators for Organic Sales, which you can use to evaluate the volatility of the company. Please check Organic Sales' Day Typical Price of 1.0E-4, rate of daily change of 1.0, and Relative Strength Index of 33.0 to confirm if the risk estimate we provide is consistent with the expected return of 0.0%. 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 8th of April 2024 to 23rd of April 2024 and 23rd of April 2024 to 8th of May 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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Complementary Tools for Organic Pink Sheet analysis
When running Organic Sales' price analysis, check to measure Organic Sales' 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 Organic Sales is operating at the current time. Most of Organic Sales' value examination focuses on studying past and present price action to predict the probability of Organic Sales' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Organic Sales' price. Additionally, you may evaluate how the addition of Organic Sales to your portfolios can decrease your overall portfolio volatility.
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Organic Sales technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.