Ha Long (Vietnam) Technical Analysis
| CAN Stock | 54,000 0.00 0.00% |
Ha Long Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CAN, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CANCAN |
Ha Long 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.
Ha Long Canned Technical Analysis
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Ha Long Canned Trend Analysis
Use this graph to draw trend lines for Ha Long Canned. You can use it to identify possible trend reversals for Ha Long 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 Ha Long price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Ha Long Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Ha Long Canned applied against its price change over selected period. The best fit line has a slop of 69.21 , which may suggest that Ha Long Canned market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1.8117979344E8, which is the sum of squared deviations for the predicted Ha Long price change compared to its average price change.Ha Long December 29, 2024 Technical Indicators
Most technical analysis of CAN 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 CAN from various momentum indicators to cycle indicators. When you analyze CAN 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 | 0.0591 | |||
| Market Risk Adjusted Performance | (0.22) | |||
| Mean Deviation | 5.61 | |||
| Semi Deviation | 6.3 | |||
| Downside Deviation | 8.14 | |||
| Coefficient Of Variation | 1585.99 | |||
| Standard Deviation | 7.0 | |||
| Variance | 49.04 | |||
| Information Ratio | 0.0585 | |||
| Jensen Alpha | 0.4736 | |||
| Total Risk Alpha | 0.2366 | |||
| Sortino Ratio | 0.0503 | |||
| Treynor Ratio | (0.23) | |||
| Maximum Drawdown | 20.0 | |||
| Value At Risk | (9.98) | |||
| Potential Upside | 9.92 | |||
| Downside Variance | 66.31 | |||
| Semi Variance | 39.68 | |||
| Expected Short fall | (7.29) | |||
| Skewness | (0.17) | |||
| Kurtosis | (1.16) |