Global Warming Solut Stock Technical Analysis
GWSO Stock | USD 1.60 0.64 28.57% |
As of the 16th of December 2024, Global Warming retains the Market Risk Adjusted Performance of 0.9304, risk adjusted performance of 0.1201, and Downside Deviation of 10.39. Global Warming technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
Global Warming Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Global, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GlobalGlobal |
Global Warming 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.
Global Warming Solut Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Global Warming Solut volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Global Warming Solut Trend Analysis
Use this graph to draw trend lines for Global Warming Solut. You can use it to identify possible trend reversals for Global Warming 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 Global Warming price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Global Warming Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Global Warming Solut applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Global Warming Solut will continue generating value for investors. It has 122 observation points and a regression sum of squares at 16.56, which is the sum of squared deviations for the predicted Global Warming price change compared to its average price change.About Global Warming 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 Global Warming Solut 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 Global Warming Solut based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Global Warming Solut price pattern first instead of the macroeconomic environment surrounding Global Warming Solut. By analyzing Global Warming'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 Global Warming'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 Global Warming specific price patterns or momentum indicators. Please read more on our technical analysis page.
Global Warming December 16, 2024 Technical Indicators
Most technical analysis of Global 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 Global from various momentum indicators to cycle indicators. When you analyze Global 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 | 0.1201 | |||
Market Risk Adjusted Performance | 0.9304 | |||
Mean Deviation | 14.41 | |||
Semi Deviation | 7.87 | |||
Downside Deviation | 10.39 | |||
Coefficient Of Variation | 657.62 | |||
Standard Deviation | 37.37 | |||
Variance | 1396.7 | |||
Information Ratio | 0.1494 | |||
Jensen Alpha | 5.12 | |||
Total Risk Alpha | 1.03 | |||
Sortino Ratio | 0.5375 | |||
Treynor Ratio | 0.9204 | |||
Maximum Drawdown | 313.63 | |||
Value At Risk | (13.51) | |||
Potential Upside | 22.73 | |||
Downside Variance | 107.88 | |||
Semi Variance | 61.86 | |||
Expected Short fall | (21.17) | |||
Skewness | 7.01 | |||
Kurtosis | 53.9 |
Global Warming December 16, 2024 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 Global 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 | 5,046 | ||
Daily Balance Of Power | (1.08) | ||
Rate Of Daily Change | 0.71 | ||
Day Median Price | 1.81 | ||
Day Typical Price | 1.74 | ||
Price Action Indicator | (0.52) |
Other Information on Investing in Global Pink Sheet
Global Warming financial ratios help investors to determine whether Global Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Global with respect to the benefits of owning Global Warming security.