Axonics Modulation Technologies Stock Technical Analysis
AXNXDelisted Stock | USD 70.98 0.48 0.68% |
As of the 22nd of November, Axonics Modulation shows the Risk Adjusted Performance of 0.1406, mean deviation of 0.1621, and Coefficient Of Variation of 470.04. Axonics Modulation 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.
Axonics Modulation Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Axonics, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AxonicsAxonics |
Axonics Modulation 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, delisted stock market cycles, or different charting patterns.
Axonics Modulation Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Axonics Modulation volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Axonics Modulation Trend Analysis
Use this graph to draw trend lines for Axonics Modulation Technologies. You can use it to identify possible trend reversals for Axonics Modulation 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 Axonics Modulation price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Axonics Modulation Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Axonics Modulation Technologies applied against its price change over selected period. The best fit line has a slop of 0.04 , which means Axonics Modulation Technologies will continue generating value for investors. It has 122 observation points and a regression sum of squares at 46.56, which is the sum of squared deviations for the predicted Axonics Modulation price change compared to its average price change.About Axonics Modulation 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 Axonics Modulation Technologies 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 Axonics Modulation Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Axonics Modulation price pattern first instead of the macroeconomic environment surrounding Axonics Modulation. By analyzing Axonics Modulation'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 Axonics Modulation'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 Axonics Modulation specific price patterns or momentum indicators. Please read more on our technical analysis page.
Axonics Modulation November 22, 2024 Technical Indicators
Most technical analysis of Axonics 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 Axonics from various momentum indicators to cycle indicators. When you analyze Axonics 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 | 0.1406 | |||
Market Risk Adjusted Performance | 0.7373 | |||
Mean Deviation | 0.1621 | |||
Downside Deviation | 0.1564 | |||
Coefficient Of Variation | 470.04 | |||
Standard Deviation | 0.2412 | |||
Variance | 0.0582 | |||
Information Ratio | (0.24) | |||
Jensen Alpha | 0.0357 | |||
Total Risk Alpha | 0.0099 | |||
Sortino Ratio | (0.37) | |||
Treynor Ratio | 0.7273 | |||
Maximum Drawdown | 1.1 | |||
Value At Risk | (0.26) | |||
Potential Upside | 0.5091 | |||
Downside Variance | 0.0245 | |||
Semi Variance | (0.04) | |||
Expected Short fall | (0.22) | |||
Skewness | 1.71 | |||
Kurtosis | 4.26 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Axonics Modulation Technologies. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Other Consideration for investing in Axonics Stock
If you are still planning to invest in Axonics Modulation check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Axonics Modulation's history and understand the potential risks before investing.
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