Artificial Intelligence Technology Stock Probability of Future Pink Sheet Price Finishing Over 0.003491
| AITX Stock | USD 0 0.0002 7.41% |
Artificial |
Artificial Intelligence Target Price Odds to finish over 0.003491
The tendency of Artificial Pink Sheet price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move over $ 0 or more in 90 days |
| 0 | 90 days | 0 | about 1.42 |
Based on a normal probability distribution, the odds of Artificial Intelligence to move over $ 0 or more in 90 days from now is about 1.42 (This Artificial Intelligence Technology probability density function shows the probability of Artificial Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Artificial Intelligence price to stay between its current price of $ 0 and $ 0 at the end of the 90-day period is about 51.16 .
Given the investment horizon of 90 days Artificial Intelligence Technology has a beta of -1.31. This suggests as returns on its benchmark rise, returns on holding Artificial Intelligence Technology are expected to decrease by similarly larger amounts. On the other hand, during market turmoils, Artificial Intelligence is expected to outperform its benchmark. Additionally Artificial Intelligence Technology has an alpha of 0.2368, implying that it can generate a 0.24 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Artificial Intelligence Price Density |
| Price |
Predictive Modules for Artificial Intelligence
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Artificial Intelligence. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Artificial Intelligence'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.
Artificial Intelligence Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Artificial Intelligence is not an exception. The market had few large corrections towards the Artificial Intelligence's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Artificial Intelligence Technology, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Artificial Intelligence within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.24 | |
β | Beta against Dow Jones | -1.31 | |
σ | Overall volatility | 0.0003 | |
Ir | Information ratio | -0.0052 |
Artificial Intelligence Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Artificial Intelligence for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Artificial Intelligence can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Artificial Intelligence had very high historical volatility over the last 90 days | |
| Artificial Intelligence has some characteristics of a very speculative penny stock | |
| Artificial Intelligence has a very high chance of going through financial distress in the upcoming years | |
| Artificial Intelligence Technology currently holds 20.31 M in liabilities. Artificial Intelligence has a current ratio of 0.93, indicating that it has a negative working capital and may not be able to pay financial obligations when due. Debt can assist Artificial Intelligence until it has trouble settling it off, either with new capital or with free cash flow. So, Artificial Intelligence's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Artificial Intelligence sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Artificial to invest in growth at high rates of return. When we think about Artificial Intelligence's use of debt, we should always consider it together with cash and equity. | |
| The entity reported the previous year's revenue of 1.45 M. Net Loss for the year was (62.2 M) with profit before overhead, payroll, taxes, and interest of 974.18 K. | |
| Artificial Intelligence Technology currently holds about 363.07 K in cash with (14.83 M) of positive cash flow from operations. |
Artificial Intelligence Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Artificial Pink Sheet often depends not only on the future outlook of the current and potential Artificial Intelligence's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Artificial Intelligence's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 4 B | |
| Cash And Short Term Investments | 4.6 M |
Artificial Intelligence Technical Analysis
Artificial Intelligence's future price can be derived by breaking down and analyzing its technical indicators over time. Artificial Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Artificial Intelligence Technology. In general, you should focus on analyzing Artificial Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Artificial Intelligence Predictive Forecast Models
Artificial Intelligence's time-series forecasting models is one of many Artificial Intelligence's pink sheet analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Artificial Intelligence's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the pink sheet market movement and maximize returns from investment trading.
Things to note about Artificial Intelligence
Checking the ongoing alerts about Artificial Intelligence for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Artificial Intelligence help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Artificial Intelligence had very high historical volatility over the last 90 days | |
| Artificial Intelligence has some characteristics of a very speculative penny stock | |
| Artificial Intelligence has a very high chance of going through financial distress in the upcoming years | |
| Artificial Intelligence Technology currently holds 20.31 M in liabilities. Artificial Intelligence has a current ratio of 0.93, indicating that it has a negative working capital and may not be able to pay financial obligations when due. Debt can assist Artificial Intelligence until it has trouble settling it off, either with new capital or with free cash flow. So, Artificial Intelligence's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Artificial Intelligence sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Artificial to invest in growth at high rates of return. When we think about Artificial Intelligence's use of debt, we should always consider it together with cash and equity. | |
| The entity reported the previous year's revenue of 1.45 M. Net Loss for the year was (62.2 M) with profit before overhead, payroll, taxes, and interest of 974.18 K. | |
| Artificial Intelligence Technology currently holds about 363.07 K in cash with (14.83 M) of positive cash flow from operations. |
Additional Tools for Artificial Pink Sheet Analysis
When running Artificial Intelligence's price analysis, check to measure Artificial Intelligence'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 Artificial Intelligence is operating at the current time. Most of Artificial Intelligence's value examination focuses on studying past and present price action to predict the probability of Artificial Intelligence's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Artificial Intelligence's price. Additionally, you may evaluate how the addition of Artificial Intelligence to your portfolios can decrease your overall portfolio volatility.