Airiq Inc Stock Market Value
| AILQF Stock | USD 0.32 0.02 6.67% |
| Symbol | AirIQ |
AirIQ '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 AirIQ'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 AirIQ.
| 04/01/2024 |
| 05/01/2024 |
If you would invest 0.00 in AirIQ on April 1, 2024 and sell it all today you would earn a total of 0.00 from holding AirIQ Inc or generate 0.0% return on investment in AirIQ over 30 days. AirIQ Inc. provides wireless asset management and location services in Canada More
AirIQ 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 AirIQ'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 AirIQ Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0282 | |||
| Maximum Drawdown | 73.15 | |||
| Value At Risk | (8.57) | |||
| Potential Upside | 6.67 |
AirIQ Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AirIQ's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AirIQ's standard deviation. In reality, there are many statistical measures that can use AirIQ historical prices to predict the future AirIQ's volatility.| Risk Adjusted Performance | 0.0312 | |||
| Jensen Alpha | 0.3501 | |||
| Total Risk Alpha | (0.45) | |||
| Treynor Ratio | (1.24) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AirIQ'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.
AirIQ Inc Backtested Returns
AirIQ appears to be out of control, given 3 months investment horizon. AirIQ Inc secures Sharpe Ratio (or Efficiency) of 0.034, which signifies that the company had a 0.034% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for AirIQ Inc, which you can use to evaluate the volatility of the firm. Please makes use of AirIQ's Risk Adjusted Performance of 0.0312, standard deviation of 10.19, and Mean Deviation of 3.4 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AirIQ holds a performance score of 2. The firm shows a Beta (market volatility) of -0.27, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning AirIQ are expected to decrease at a much lower rate. During the bear market, AirIQ is likely to outperform the market. Please check AirIQ's potential upside, as well as the relationship between the rate of daily change and period momentum indicator , to make a quick decision on whether AirIQ's price patterns will revert.
Auto-correlation | -0.35 |
Poor reverse predictability
AirIQ Inc has poor reverse predictability. Overlapping area represents the amount of predictability between AirIQ time series from 1st of April 2024 to 16th of April 2024 and 16th of April 2024 to 1st of May 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 AirIQ Inc price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current AirIQ price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AirIQ Inc lagged returns against current returns
Autocorrelation, which is AirIQ 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 AirIQ's pink sheet expected returns. We can calculate the autocorrelation of AirIQ returns to help us make a trade decision. For example, suppose you find that AirIQ 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 |
AirIQ 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 AirIQ pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AirIQ pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AirIQ pink sheet over time.
Current vs Lagged Prices |
| Timeline |
AirIQ Lagged Returns
When evaluating AirIQ's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AirIQ pink sheet have on its future price. AirIQ 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, AirIQ autocorrelation shows the relationship between AirIQ pink sheet current value and its past values and can show if there is a momentum factor associated with investing in AirIQ Inc.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AirIQ in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, AirIQ's short interest history, or implied volatility extrapolated from AirIQ options trading.
Pair Trading with AirIQ
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 AirIQ 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 AirIQ will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to AirIQ could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AirIQ 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 AirIQ - 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 AirIQ Inc to buy it.
The correlation of AirIQ 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 AirIQ moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AirIQ Inc 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 AirIQ 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.Check out AirIQ Correlation, AirIQ Volatility and AirIQ Alpha and Beta module to complement your research on AirIQ. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Complementary Tools for AirIQ Pink Sheet analysis
When running AirIQ's price analysis, check to measure AirIQ'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 AirIQ is operating at the current time. Most of AirIQ's value examination focuses on studying past and present price action to predict the probability of AirIQ's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AirIQ's price. Additionally, you may evaluate how the addition of AirIQ to your portfolios can decrease your overall portfolio volatility.
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AirIQ technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.