Supply Network (Australia) Technical Analysis
SNL Stock | 32.40 0.24 0.74% |
As of the 26th of December, Supply Network has the Risk Adjusted Performance of 0.0801, semi deviation of 1.53, and Coefficient Of Variation of 1073.65. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Supply Network, as well as the relationship between them.
Supply Network Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Supply, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SupplySupply |
Supply Network 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.
Supply Network 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 Supply Network volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Supply Network Trend Analysis
Use this graph to draw trend lines for Supply Network. You can use it to identify possible trend reversals for Supply Network 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 Supply Network price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Supply Network Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Supply Network applied against its price change over selected period. The best fit line has a slop of 0.04 , which means Supply Network will continue generating value for investors. It has 122 observation points and a regression sum of squares at 53.08, which is the sum of squared deviations for the predicted Supply Network price change compared to its average price change.About Supply Network 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 Supply Network 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 Supply Network based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Supply Network price pattern first instead of the macroeconomic environment surrounding Supply Network. By analyzing Supply Network'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 Supply Network'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 Supply Network specific price patterns or momentum indicators. Please read more on our technical analysis page.
Supply Network December 26, 2024 Technical Indicators
Most technical analysis of Supply 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 Supply from various momentum indicators to cycle indicators. When you analyze Supply 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 | 0.0801 | |||
Market Risk Adjusted Performance | 0.9139 | |||
Mean Deviation | 1.37 | |||
Semi Deviation | 1.53 | |||
Downside Deviation | 1.78 | |||
Coefficient Of Variation | 1073.65 | |||
Standard Deviation | 1.84 | |||
Variance | 3.37 | |||
Information Ratio | 0.0688 | |||
Jensen Alpha | 0.1549 | |||
Total Risk Alpha | 0.0813 | |||
Sortino Ratio | 0.0708 | |||
Treynor Ratio | 0.9039 | |||
Maximum Drawdown | 8.51 | |||
Value At Risk | (2.63) | |||
Potential Upside | 3.71 | |||
Downside Variance | 3.19 | |||
Semi Variance | 2.34 | |||
Expected Short fall | (1.38) | |||
Skewness | 0.4606 | |||
Kurtosis | 0.5455 |
Additional Tools for Supply Stock Analysis
When running Supply Network's price analysis, check to measure Supply Network'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 Supply Network is operating at the current time. Most of Supply Network's value examination focuses on studying past and present price action to predict the probability of Supply Network's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Supply Network's price. Additionally, you may evaluate how the addition of Supply Network to your portfolios can decrease your overall portfolio volatility.