Artificial Intelligence Technology Stock Technical Analysis
| AITX Stock | USD 0.0005 0.0001 16.67% |
As of the 7th of February, Artificial Intelligence shows the Risk Adjusted Performance of (0.06), standard deviation of 8.11, and Mean Deviation of 5.28. Artificial Intelligence technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Artificial Intelligence Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Artificial, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ArtificialArtificial |
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.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Artificial Intelligence on November 9, 2025 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 90 days. Artificial Intelligence is related to or competes with Clean Coal, Latch, Xinda International, Winland Holdings, Surge Components, and Dynasilof America. 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.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 36.67 | |||
| Value At Risk | (14.29) | |||
| Potential Upside | 14.29 |
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 | (0.06) | |||
| Jensen Alpha | (0.80) | |||
| Total Risk Alpha | (1.53) | |||
| Treynor Ratio | (0.87) |
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 February 7, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.06) | |||
| Market Risk Adjusted Performance | (0.86) | |||
| Mean Deviation | 5.28 | |||
| Coefficient Of Variation | (1,127) | |||
| Standard Deviation | 8.11 | |||
| Variance | 65.74 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.80) | |||
| Total Risk Alpha | (1.53) | |||
| Treynor Ratio | (0.87) | |||
| Maximum Drawdown | 36.67 | |||
| Value At Risk | (14.29) | |||
| Potential Upside | 14.29 | |||
| Skewness | 0.222 | |||
| Kurtosis | 0.2675 |
Artificial Intelligence Backtested Returns
Artificial Intelligence secures Sharpe Ratio (or Efficiency) of -0.1, which signifies that the company had a -0.1 % return per unit of risk over the last 3 months. Artificial Intelligence Technology exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Artificial Intelligence's Mean Deviation of 5.28, standard deviation of 8.11, and Risk Adjusted Performance of (0.06) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.84, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Artificial Intelligence's returns are expected to increase less than the market. However, during the bear market, the loss of holding Artificial Intelligence is expected to be smaller as well. At this point, Artificial Intelligence has a negative expected return of -0.82%. Please make sure to confirm Artificial Intelligence's jensen alpha and rate of daily change , to decide if Artificial Intelligence performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.56 |
Modest predictability
Artificial Intelligence Technology has modest predictability. Overlapping area represents the amount of predictability between Artificial Intelligence time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th of February 2026. 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 0.56 indicates that roughly 56.0% of current Artificial Intelligence price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Artificial Intelligence 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.
Artificial Intelligence Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Artificial Intelligence volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Artificial Intelligence Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Artificial Intelligence Technology on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Artificial Intelligence Technology based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Artificial Intelligence price pattern first instead of the macroeconomic environment surrounding Artificial Intelligence. By analyzing Artificial Intelligence's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Artificial Intelligence's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Artificial Intelligence specific price patterns or momentum indicators. Please read more on our technical analysis page.
Artificial Intelligence February 7, 2026 Technical Indicators
Most technical analysis of Artificial help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Artificial from various momentum indicators to cycle indicators. When you analyze Artificial charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.06) | |||
| Market Risk Adjusted Performance | (0.86) | |||
| Mean Deviation | 5.28 | |||
| Coefficient Of Variation | (1,127) | |||
| Standard Deviation | 8.11 | |||
| Variance | 65.74 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.80) | |||
| Total Risk Alpha | (1.53) | |||
| Treynor Ratio | (0.87) | |||
| Maximum Drawdown | 36.67 | |||
| Value At Risk | (14.29) | |||
| Potential Upside | 14.29 | |||
| Skewness | 0.222 | |||
| Kurtosis | 0.2675 |
Artificial Intelligence February 7, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Artificial stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.83 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
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.