Gainclients Stock Market Value
| GCLT Stock | USD 0.0001 0.00 0.00% |
| Symbol | GainClients |
GainClients '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 GainClients' 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 GainClients.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in GainClients on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding GainClients or generate 0.0% return on investment in GainClients over 720 days. GainClients is related to or competes with Salesforce, S A P, ServiceNow, Intuit, Uber Technologies, Shopify, and Applovin Corp. GainClients, Inc. provides technology solutions to the real estate industry More
GainClients 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 GainClients' 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 GainClients upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1115 | |||
| Maximum Drawdown | 1191.67 |
GainClients Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GainClients' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GainClients' standard deviation. In reality, there are many statistical measures that can use GainClients historical prices to predict the future GainClients' volatility.| Risk Adjusted Performance | 0.0956 | |||
| Jensen Alpha | 15.51 | |||
| Total Risk Alpha | (2.48) | |||
| Treynor Ratio | (6.27) |
GainClients Backtested Returns
GainClients holds Efficiency (Sharpe) Ratio of -0.12, which attests that the entity had a -0.12% return per unit of risk over the last 3 months. GainClients exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GainClients' Risk Adjusted Performance of 0.0956, standard deviation of 136.04, and Market Risk Adjusted Performance of (6.26) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -2.44, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning GainClients are expected to decrease by larger amounts. On the other hand, during market turmoil, GainClients is expected to outperform it. At this point, GainClients has a negative expected return of -1.43%. Please make sure to check out GainClients' coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and day typical price , to decide if GainClients performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.72 |
Good predictability
GainClients has good predictability. Overlapping area represents the amount of predictability between GainClients time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd of November 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 GainClients price movement. The serial correlation of 0.72 indicates that around 72.0% of current GainClients price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
GainClients lagged returns against current returns
Autocorrelation, which is GainClients 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 GainClients' pink sheet expected returns. We can calculate the autocorrelation of GainClients returns to help us make a trade decision. For example, suppose you find that GainClients 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 |
GainClients 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 GainClients pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GainClients pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GainClients pink sheet over time.
Current vs Lagged Prices |
| Timeline |
GainClients Lagged Returns
When evaluating GainClients' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GainClients pink sheet have on its future price. GainClients 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, GainClients autocorrelation shows the relationship between GainClients pink sheet current value and its past values and can show if there is a momentum factor associated with investing in GainClients.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for GainClients Pink Sheet Analysis
When running GainClients' price analysis, check to measure GainClients' 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 GainClients is operating at the current time. Most of GainClients' value examination focuses on studying past and present price action to predict the probability of GainClients' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GainClients' price. Additionally, you may evaluate how the addition of GainClients to your portfolios can decrease your overall portfolio volatility.