Global Data (Australia) Technical Analysis
| GDC Stock | 1.43 0.01 0.70% |
As of the 30th of November, Global Data retains the Risk Adjusted Performance of (0.02), standard deviation of 8.27, and Market Risk Adjusted Performance of (1.00). Global Data 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 Data 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 Data 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.
Global Data Centre Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Data Centre volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Global Data Centre Trend Analysis
Use this graph to draw trend lines for Global Data Centre. You can use it to identify possible trend reversals for Global Data 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 Data price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Global Data Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Global Data Centre applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Global Data Centre market price will keep on failing further. It has 122 observation points and a regression sum of squares at 11.33, which is the sum of squared deviations for the predicted Global Data price change compared to its average price change.About Global Data 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 Data Centre 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 Data Centre based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Global Data Centre price pattern first instead of the macroeconomic environment surrounding Global Data Centre. By analyzing Global Data'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 Data'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 Data specific price patterns or momentum indicators. Please read more on our technical analysis page.
Global Data November 30, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (1.00) | |||
| Mean Deviation | 2.39 | |||
| Coefficient Of Variation | (2,269) | |||
| Standard Deviation | 8.27 | |||
| Variance | 68.42 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.42) | |||
| Total Risk Alpha | (1.76) | |||
| Treynor Ratio | (1.01) | |||
| Maximum Drawdown | 80.36 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 1.76 | |||
| Skewness | (0.73) | |||
| Kurtosis | 20.31 |
Global Data November 30, 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 1.43 | ||
| Day Typical Price | 1.43 | ||
| Price Action Indicator | 0.01 |
Additional Tools for Global Stock Analysis
When running Global Data's price analysis, check to measure Global Data'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 Global Data is operating at the current time. Most of Global Data's value examination focuses on studying past and present price action to predict the probability of Global Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Global Data's price. Additionally, you may evaluate how the addition of Global Data to your portfolios can decrease your overall portfolio volatility.