Q32 Bio Stock Technical Analysis
| QTTB Stock | 24.55 2.49 9.21% |
As of the 25th of November, Q32 Bio owns the variance of 23.45, and Market Risk Adjusted Performance of (0.57). In connection with fundamental indicators, the technical analysis model allows you to check timely technical drivers of Q32 Bio, as well as the relationship between them.
Q32 Bio Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Q32, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Q32Q32 |
Q32 Bio Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 77.8 | Strong Buy | 6 | Odds |
Most Q32 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 Q32 stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Q32 Bio, talking to its executives and customers, or listening to Q32 conference calls.
Q32 Bio 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.
Q32 Bio Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 Q32 Bio volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Q32 Bio Trend Analysis
Use this graph to draw trend lines for Q32 Bio. You can use it to identify possible trend reversals for Q32 Bio 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 Q32 Bio price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Q32 Bio Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Q32 Bio applied against its price change over selected period. The best fit line has a slop of 0.17 , which may suggest that Q32 Bio market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1068.27, which is the sum of squared deviations for the predicted Q32 Bio price change compared to its average price change.About Q32 Bio 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 Q32 Bio 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 Q32 Bio based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Q32 Bio price pattern first instead of the macroeconomic environment surrounding Q32 Bio. By analyzing Q32 Bio'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 Q32 Bio'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 Q32 Bio specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2022 | 2023 | 2024 (projected) | Payables Turnover | 1.81 | 0.18 | 0.17 | Days Of Inventory On Hand | 245.77 | 221.19 | 232.25 |
Q32 Bio November 25, 2024 Technical Indicators
Most technical analysis of Q32 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 Q32 from various momentum indicators to cycle indicators. When you analyze Q32 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 | (0.08) | |||
| Market Risk Adjusted Performance | (0.57) | |||
| Mean Deviation | 3.85 | |||
| Coefficient Of Variation | (856.53) | |||
| Standard Deviation | 4.84 | |||
| Variance | 23.45 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (1.34) | |||
| Treynor Ratio | (0.58) | |||
| Maximum Drawdown | 21.61 | |||
| Value At Risk | (9.21) | |||
| Potential Upside | 6.56 | |||
| Skewness | (0.20) | |||
| Kurtosis | (0.28) |
Complementary Tools for Q32 Stock analysis
When running Q32 Bio's price analysis, check to measure Q32 Bio'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 Q32 Bio is operating at the current time. Most of Q32 Bio's value examination focuses on studying past and present price action to predict the probability of Q32 Bio's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Q32 Bio's price. Additionally, you may evaluate how the addition of Q32 Bio to your portfolios can decrease your overall portfolio volatility.
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