Forecastagility Stock Market Value
| FCGY Stock | USD 0.01 0.00 0.00% |
| Symbol | Forecastagility |
Forecastagility '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 Forecastagility'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 Forecastagility.
| 12/26/2024 |
| 01/25/2025 |
If you would invest 0.00 in Forecastagility on December 26, 2024 and sell it all today you would earn a total of 0.00 from holding Forecastagility or generate 0.0% return on investment in Forecastagility over 30 days. Forecastagility is related to or competes with FlexiInternational, Fastbase, GivBux, Rumble, IPE Universal, RIWI Corp, and Where Food. Forecastagility Corporation provides legacy application migration solutions to corporate clients in the United States an... More
Forecastagility 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 Forecastagility'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 Forecastagility upside and downside potential and time the market with a certain degree of confidence.
Forecastagility Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Forecastagility's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Forecastagility's standard deviation. In reality, there are many statistical measures that can use Forecastagility historical prices to predict the future Forecastagility's volatility.Forecastagility Backtested Returns
We have found three technical indicators for Forecastagility, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Forecastagility are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Forecastagility has perfect predictability. Overlapping area represents the amount of predictability between Forecastagility time series from 26th of December 2024 to 10th of January 2025 and 10th of January 2025 to 25th of January 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 Forecastagility price movement. The serial correlation of 1.0 indicates that 100.0% of current Forecastagility 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 |
Forecastagility lagged returns against current returns
Autocorrelation, which is Forecastagility 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 Forecastagility's pink sheet expected returns. We can calculate the autocorrelation of Forecastagility returns to help us make a trade decision. For example, suppose you find that Forecastagility 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 |
Forecastagility 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 Forecastagility pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Forecastagility pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Forecastagility pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Forecastagility Lagged Returns
When evaluating Forecastagility's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Forecastagility pink sheet have on its future price. Forecastagility 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, Forecastagility autocorrelation shows the relationship between Forecastagility pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Forecastagility.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Forecastagility Pink Sheet Analysis
When running Forecastagility's price analysis, check to measure Forecastagility'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 Forecastagility is operating at the current time. Most of Forecastagility's value examination focuses on studying past and present price action to predict the probability of Forecastagility's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Forecastagility's price. Additionally, you may evaluate how the addition of Forecastagility to your portfolios can decrease your overall portfolio volatility.