Artificial Intelligence Technology Stock Market Value
| AITX Stock | USD 0 0.0002 7.14% |
| Symbol | Artificial |
Artificial Intelligence '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 Artificial Intelligence'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 Artificial Intelligence.
| 05/31/2024 |
| 11/27/2024 |
If you would invest 0.00 in Artificial Intelligence on May 31, 2024 and sell it all today you would earn a total of 0.00 from holding Artificial Intelligence Technology or generate 0.0% return on investment in Artificial Intelligence over 180 days. Artificial Intelligence is related to or competes with Rigetti Computing, Quantum Computing, IONQ, Desktop Metal, Quantum, D Wave, and Stratasys. Artificial Intelligence Technology Solutions Inc More
Artificial Intelligence 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 Artificial Intelligence'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 Artificial Intelligence Technology upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.82 | |||
| Information Ratio | 0.0135 | |||
| Maximum Drawdown | 64.29 | |||
| Value At Risk | (6.90) | |||
| Potential Upside | 3.85 |
Artificial Intelligence Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Artificial Intelligence's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Artificial Intelligence's standard deviation. In reality, there are many statistical measures that can use Artificial Intelligence historical prices to predict the future Artificial Intelligence's volatility.| Risk Adjusted Performance | 0.0313 | |||
| Jensen Alpha | 0.3874 | |||
| Total Risk Alpha | (1.09) | |||
| Sortino Ratio | 0.0195 | |||
| Treynor Ratio | (0.18) |
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 Backtested Returns
Artificial Intelligence appears to be out of control, given 3 months investment horizon. Artificial Intelligence secures Sharpe Ratio (or Efficiency) of 0.0236, which signifies that the company had a 0.0236% return per unit of risk over the last 3 months. We have found thirty technical indicators for Artificial Intelligence Technology, which you can use to evaluate the volatility of the firm. Please makes use of Artificial Intelligence's Risk Adjusted Performance of 0.0313, downside deviation of 5.82, and Mean Deviation of 4.22 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Artificial Intelligence holds a performance score of 1. The firm shows a Beta (market volatility) of -1.28, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Artificial Intelligence are expected to decrease by larger amounts. On the other hand, during market turmoil, Artificial Intelligence is expected to outperform it. Please check Artificial Intelligence's potential upside, as well as the relationship between the accumulation distribution and price action indicator , to make a quick decision on whether Artificial Intelligence's price patterns will revert.
Auto-correlation | 0.42 |
Average predictability
Artificial Intelligence Technology has average predictability. Overlapping area represents the amount of predictability between Artificial Intelligence time series from 31st of May 2024 to 29th of August 2024 and 29th of August 2024 to 27th 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 Artificial Intelligence price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Artificial Intelligence price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Artificial Intelligence lagged returns against current returns
Autocorrelation, which is Artificial Intelligence 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 Artificial Intelligence's pink sheet expected returns. We can calculate the autocorrelation of Artificial Intelligence returns to help us make a trade decision. For example, suppose you find that Artificial Intelligence 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 |
Artificial Intelligence 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 Artificial Intelligence pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Artificial Intelligence pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Artificial Intelligence pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Artificial Intelligence Lagged Returns
When evaluating Artificial Intelligence's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Artificial Intelligence pink sheet have on its future price. Artificial Intelligence 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, Artificial Intelligence autocorrelation shows the relationship between Artificial Intelligence pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Artificial Intelligence Technology.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.