Agristar Stock Market Value
| AGRS Stock | USD 0.01 0.00 0.00% |
| Symbol | Agristar |
Agristar '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 Agristar's 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 Agristar.
| 11/28/2025 |
| 12/28/2025 |
If you would invest 0.00 in Agristar on November 28, 2025 and sell it all today you would earn a total of 0.00 from holding Agristar or generate 0.0% return on investment in Agristar over 30 days. Agristar, Inc. grows and supplies fresh and dehydrated potatoes to the retail and food service markets More
Agristar 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 Agristar's 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 Agristar upside and downside potential and time the market with a certain degree of confidence.
Agristar Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Agristar's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Agristar's standard deviation. In reality, there are many statistical measures that can use Agristar historical prices to predict the future Agristar's volatility.Agristar Backtested Returns
We have found three technical indicators for Agristar, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Agristar are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Agristar has perfect predictability. Overlapping area represents the amount of predictability between Agristar time series from 28th of November 2025 to 13th of December 2025 and 13th of December 2025 to 28th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Agristar price movement. The serial correlation of 1.0 indicates that 100.0% of current Agristar price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Agristar lagged returns against current returns
Autocorrelation, which is Agristar 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 Agristar's pink sheet expected returns. We can calculate the autocorrelation of Agristar returns to help us make a trade decision. For example, suppose you find that Agristar 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 |
Agristar 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 Agristar pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Agristar pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Agristar pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Agristar Lagged Returns
When evaluating Agristar's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Agristar pink sheet have on its future price. Agristar 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, Agristar autocorrelation shows the relationship between Agristar pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Agristar.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Agristar Pink Sheet Analysis
When running Agristar's price analysis, check to measure Agristar'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 Agristar is operating at the current time. Most of Agristar's value examination focuses on studying past and present price action to predict the probability of Agristar's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agristar's price. Additionally, you may evaluate how the addition of Agristar to your portfolios can decrease your overall portfolio volatility.