Quantum Computing Stock Technical Analysis
| QUBT Stock | USD 6.10 1.34 28.15% |
As of the 23rd of November, Quantum Computing holds the Coefficient Of Variation of 385.27, semi deviation of 6.37, and Risk Adjusted Performance of 0.2086. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quantum Computing, as well as the relationship between them.
Quantum Computing Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quantum, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QuantumQuantum |
Quantum Computing Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 9.0 | Strong Buy | 1 | Odds |
Most Quantum analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Quantum stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Quantum Computing, talking to its executives and customers, or listening to Quantum conference calls.
Quantum Computing technical stock 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, stock market cycles, or different charting patterns.
Quantum Computing Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Quantum Computing volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Quantum Computing Trend Analysis
Use this graph to draw trend lines for Quantum Computing. You can use it to identify possible trend reversals for Quantum Computing as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Quantum Computing price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Quantum Computing Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Quantum Computing applied against its price change over selected period. The best fit line has a slop of 0.05 , which means Quantum Computing will continue generating value for investors. It has 122 observation points and a regression sum of squares at 90.82, which is the sum of squared deviations for the predicted Quantum Computing price change compared to its average price change.About Quantum Computing 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 Quantum Computing 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 Quantum Computing based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Quantum Computing price pattern first instead of the macroeconomic environment surrounding Quantum Computing. By analyzing Quantum Computing'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 Quantum Computing'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 Quantum Computing specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2010 | 2023 | 2024 (projected) | Dividend Yield | 1.21 | 0.0142 | 0.0135 | Price To Sales Ratio | 0.0625 | 169.9 | 211.45 |
Quantum Computing November 23, 2024 Technical Indicators
Most technical analysis of Quantum 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 Quantum from various momentum indicators to cycle indicators. When you analyze Quantum 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 | 0.2086 | |||
| Market Risk Adjusted Performance | 1.86 | |||
| Mean Deviation | 10.05 | |||
| Semi Deviation | 6.37 | |||
| Downside Deviation | 8.3 | |||
| Coefficient Of Variation | 385.27 | |||
| Standard Deviation | 17.34 | |||
| Variance | 300.72 | |||
| Information Ratio | 0.252 | |||
| Jensen Alpha | 4.2 | |||
| Total Risk Alpha | 1.76 | |||
| Sortino Ratio | 0.5265 | |||
| Treynor Ratio | 1.85 | |||
| Maximum Drawdown | 122.3 | |||
| Value At Risk | (7.96) | |||
| Potential Upside | 29.35 | |||
| Downside Variance | 68.91 | |||
| Semi Variance | 40.59 | |||
| Expected Short fall | (14.04) | |||
| Skewness | 2.88 | |||
| Kurtosis | 11.83 |
Additional Tools for Quantum Stock Analysis
When running Quantum Computing's price analysis, check to measure Quantum Computing'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 Quantum Computing is operating at the current time. Most of Quantum Computing's value examination focuses on studying past and present price action to predict the probability of Quantum Computing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Computing's price. Additionally, you may evaluate how the addition of Quantum Computing to your portfolios can decrease your overall portfolio volatility.