Agilq Stock Market Value
| AGILQ Stock | 0.0001 0.00 0.00% |
| Symbol | AGILQ |
AGILQ '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 AGILQ'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 AGILQ.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in AGILQ on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding AGILQ or generate 0.0% return on investment in AGILQ over 30 days.
AGILQ 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 AGILQ'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 AGILQ upside and downside potential and time the market with a certain degree of confidence.
AGILQ Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AGILQ's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AGILQ's standard deviation. In reality, there are many statistical measures that can use AGILQ historical prices to predict the future AGILQ's volatility.AGILQ Backtested Returns
We have found three technical indicators for AGILQ, 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 AGILQ are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
AGILQ has no correlation between past and present. Overlapping area represents the amount of predictability between AGILQ time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 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 AGILQ price movement. The serial correlation of 0.0 indicates that just 0.0% of current AGILQ price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AGILQ lagged returns against current returns
Autocorrelation, which is AGILQ 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 AGILQ's pink sheet expected returns. We can calculate the autocorrelation of AGILQ returns to help us make a trade decision. For example, suppose you find that AGILQ 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 |
AGILQ 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 AGILQ pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AGILQ pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AGILQ pink sheet over time.
Current vs Lagged Prices |
| Timeline |
AGILQ Lagged Returns
When evaluating AGILQ's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AGILQ pink sheet have on its future price. AGILQ 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, AGILQ autocorrelation shows the relationship between AGILQ pink sheet current value and its past values and can show if there is a momentum factor associated with investing in AGILQ.
Regressed Prices |
| Timeline |
Pair Trading with AGILQ
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if AGILQ position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in AGILQ will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to AGILQ could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AGILQ when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back AGILQ - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling AGILQ to buy it.
The correlation of AGILQ is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AGILQ moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AGILQ moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for AGILQ can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for AGILQ Pink Sheet Analysis
When running AGILQ's price analysis, check to measure AGILQ'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 AGILQ is operating at the current time. Most of AGILQ's value examination focuses on studying past and present price action to predict the probability of AGILQ's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AGILQ's price. Additionally, you may evaluate how the addition of AGILQ to your portfolios can decrease your overall portfolio volatility.