Guestlogix Stock Market Value
| GUESF Stock | USD 0.0001 0.00 0.00% |
| Symbol | GuestLogix |
GuestLogix '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 GuestLogix'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 GuestLogix.
| 04/15/2024 |
| 01/10/2025 |
If you would invest 0.00 in GuestLogix on April 15, 2024 and sell it all today you would earn a total of 0.00 from holding GuestLogix or generate 0.0% return on investment in GuestLogix over 270 days. GuestLogix is related to or competes with Appen, Appen, Capgemini, Quisitive Technology, and Capgemini. GuestLogix Inc. provides retail and payment technology solutions to the passenger travel industry More
GuestLogix 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 GuestLogix'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 GuestLogix upside and downside potential and time the market with a certain degree of confidence.
GuestLogix Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GuestLogix's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GuestLogix's standard deviation. In reality, there are many statistical measures that can use GuestLogix historical prices to predict the future GuestLogix's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GuestLogix'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.
GuestLogix Backtested Returns
We have found three technical indicators for GuestLogix, which you can use to evaluate the volatility of the firm. The company retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and GuestLogix are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
GuestLogix has perfect predictability. Overlapping area represents the amount of predictability between GuestLogix time series from 15th of April 2024 to 28th of August 2024 and 28th of August 2024 to 10th 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 GuestLogix price movement. The serial correlation of 1.0 indicates that 100.0% of current GuestLogix 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 |
GuestLogix lagged returns against current returns
Autocorrelation, which is GuestLogix 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 GuestLogix's pink sheet expected returns. We can calculate the autocorrelation of GuestLogix returns to help us make a trade decision. For example, suppose you find that GuestLogix 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 |
GuestLogix 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 GuestLogix pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GuestLogix pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GuestLogix pink sheet over time.
Current vs Lagged Prices |
| Timeline |
GuestLogix Lagged Returns
When evaluating GuestLogix's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GuestLogix pink sheet have on its future price. GuestLogix 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, GuestLogix autocorrelation shows the relationship between GuestLogix pink sheet current value and its past values and can show if there is a momentum factor associated with investing in GuestLogix.
Regressed Prices |
| Timeline |
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Other Information on Investing in GuestLogix Pink Sheet
GuestLogix financial ratios help investors to determine whether GuestLogix 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 GuestLogix with respect to the benefits of owning GuestLogix security.