Fsd Pharma Class Stock Technical Analysis
HUGEDelisted Stock | USD 0.09 0 4.56% |
As of the 16th of December 2024, FSD Pharma shows the mean deviation of 8.01, and Standard Deviation of 17.23. FSD Pharma Class technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm FSD Pharma Class variance, as well as the relationship between the maximum drawdown and skewness to decide if FSD Pharma Class is priced adequately, providing market reflects its regular price of 0.0899 per share. As FSD Pharma Class appears to be a penny stock we also advise to verify its jensen alpha numbers.
FSD Pharma Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as FSD, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FSDFSD |
FSD Pharma 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.
FSD Pharma Class Technical Analysis
We are not able to run technical analysis function on this symbol. We either do not have that equity or its historical data is not available at this time. Please try again later.
FSD Pharma Class Trend Analysis
Use this graph to draw trend lines for FSD Pharma Class. You can use it to identify possible trend reversals for FSD Pharma 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 FSD Pharma price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.FSD Pharma Best Fit Change Line
The following chart estimates an ordinary least squares regression model for FSD Pharma Class applied against its price change over selected period. The best fit line has a slop of 0.0041 , which may suggest that FSD Pharma Class market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.65, which is the sum of squared deviations for the predicted FSD Pharma price change compared to its average price change.About FSD Pharma 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 FSD Pharma Class 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 FSD Pharma Class based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on FSD Pharma Class price pattern first instead of the macroeconomic environment surrounding FSD Pharma Class. By analyzing FSD Pharma'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 FSD Pharma'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 FSD Pharma specific price patterns or momentum indicators. Please read more on our technical analysis page.
FSD Pharma December 16, 2024 Technical Indicators
Most technical analysis of FSD 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 FSD from various momentum indicators to cycle indicators. When you analyze FSD 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 | (0.03) | |||
Market Risk Adjusted Performance | 0.8756 | |||
Mean Deviation | 8.01 | |||
Coefficient Of Variation | (1,755) | |||
Standard Deviation | 17.23 | |||
Variance | 296.71 | |||
Information Ratio | (0.06) | |||
Jensen Alpha | (0.89) | |||
Total Risk Alpha | (3.13) | |||
Treynor Ratio | 0.8656 | |||
Maximum Drawdown | 155.75 | |||
Value At Risk | (13.33) | |||
Potential Upside | 9.38 | |||
Skewness | 5.44 | |||
Kurtosis | 39.3 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Other Consideration for investing in FSD Stock
If you are still planning to invest in FSD Pharma Class 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 FSD Pharma's history and understand the potential risks before investing.
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |