All For One Stock Market Value
| AFOM Stock | USD 0.0001 0.00 0.00% |
| Symbol | All |
All For '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 All For'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 All For.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in All For on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding All For One or generate 0.0% return on investment in All For over 90 days. All For One Media Corp., a media and entertainment company, engages in the content development of media More
All For 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 All For'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 All For One upside and downside potential and time the market with a certain degree of confidence.
All For Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for All For's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as All For's standard deviation. In reality, there are many statistical measures that can use All For historical prices to predict the future All For's volatility.All For One Backtested Returns
We have found three technical indicators for All For One, 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 All For are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
All For One has perfect predictability. Overlapping area represents the amount of predictability between All For time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 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 All For One price movement. The serial correlation of 1.0 indicates that 100.0% of current All For 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 |
All For One lagged returns against current returns
Autocorrelation, which is All For 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 All For's pink sheet expected returns. We can calculate the autocorrelation of All For returns to help us make a trade decision. For example, suppose you find that All For 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 |
All For 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 All For pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if All For pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in All For pink sheet over time.
Current vs Lagged Prices |
| Timeline |
All For Lagged Returns
When evaluating All For's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of All For pink sheet have on its future price. All For 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, All For autocorrelation shows the relationship between All For pink sheet current value and its past values and can show if there is a momentum factor associated with investing in All For One.
Regressed Prices |
| Timeline |
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All For financial ratios help investors to determine whether All 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 All with respect to the benefits of owning All For security.