Service Team Stock Market Value
| SVTE Stock | USD 0.0001 0.00 0.00% |
| Symbol | Service |
Service Team '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 Service Team'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 Service Team.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in Service Team on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Service Team or generate 0.0% return on investment in Service Team over 90 days. Service Team is related to or competes with OppFi, Fortinet, Brera Holdings, MetLife, Jackson Financial, Caterpillar, and American Express. Service Team Inc. manufactures, maintains, and repairs truck bodies in the United States More
Service Team 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 Service Team'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 Service Team upside and downside potential and time the market with a certain degree of confidence.
Service Team Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Service Team's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Service Team's standard deviation. In reality, there are many statistical measures that can use Service Team historical prices to predict the future Service Team's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Service Team's 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.
Service Team Backtested Returns
We have found three technical indicators for Service Team, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Service Team are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Service Team has perfect predictability. Overlapping area represents the amount of predictability between Service Team time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd of December 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 Service Team price movement. The serial correlation of 1.0 indicates that 100.0% of current Service Team 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 |
Service Team lagged returns against current returns
Autocorrelation, which is Service Team 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 Service Team's pink sheet expected returns. We can calculate the autocorrelation of Service Team returns to help us make a trade decision. For example, suppose you find that Service Team 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 |
Service Team 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 Service Team pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Service Team pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Service Team pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Service Team Lagged Returns
When evaluating Service Team's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Service Team pink sheet have on its future price. Service Team 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, Service Team autocorrelation shows the relationship between Service Team pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Service Team.
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.Other Information on Investing in Service Pink Sheet
Service Team financial ratios help investors to determine whether Service 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 Service with respect to the benefits of owning Service Team security.