PT Sarimelati (Indonesia) Technical Analysis
| PZZA Stock | IDR 280.00 4.00 1.45% |
As of the 19th of April, PT Sarimelati owns the market risk adjusted performance of 0.6683, and Information Ratio of (0.32). Concerning fundamental indicators, the technical analysis model allows you to check potential technical drivers of PT Sarimelati Kencana, as well as the relationship between them. Strictly speaking, you can use this information to find out if the company will indeed mirror its model of historical prices and volume patterns, or the prices will eventually revert. We were able to interpolate thirteen technical drivers for PT Sarimelati, which can be compared to its peers in the sector. Please check PT Sarimelati Kencana coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if PT Sarimelati Kencana is priced more or less accurately, providing market reflects its prevailing price of 280.0 per share.
PT Sarimelati Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as PZZA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PZZAPZZA |
PT Sarimelati 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.
PT Sarimelati Kencana Technical Analysis
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PT Sarimelati Kencana Trend Analysis
Use this graph to draw trend lines for PT Sarimelati Kencana. You can use it to identify possible trend reversals for PT Sarimelati 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 PT Sarimelati price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.PT Sarimelati Best Fit Change Line
The following chart estimates an ordinary least squares regression model for PT Sarimelati Kencana applied against its price change over selected period. The best fit line has a slop of 1.7 , which may suggest that PT Sarimelati Kencana market price will keep on failing further. It has 122 observation points and a regression sum of squares at 109293.0, which is the sum of squared deviations for the predicted PT Sarimelati price change compared to its average price change.About PT Sarimelati 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 PT Sarimelati Kencana 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 PT Sarimelati Kencana based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on PT Sarimelati Kencana price pattern first instead of the macroeconomic environment surrounding PT Sarimelati Kencana. By analyzing PT Sarimelati'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 PT Sarimelati'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 PT Sarimelati specific price patterns or momentum indicators. Please read more on our technical analysis page.
PT Sarimelati April 19, 2024 Technical Indicators
Most technical analysis of PZZA 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 PZZA from various momentum indicators to cycle indicators. When you analyze PZZA 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 | (0.16) | |||
| Market Risk Adjusted Performance | 0.6683 | |||
| Mean Deviation | 1.07 | |||
| Coefficient Of Variation | (363.67) | |||
| Standard Deviation | 1.46 | |||
| Variance | 2.14 | |||
| Information Ratio | (0.32) | |||
| Jensen Alpha | (0.38) | |||
| Total Risk Alpha | (0.55) | |||
| Treynor Ratio | 0.6583 | |||
| Maximum Drawdown | 8.51 | |||
| Value At Risk | (2.86) | |||
| Potential Upside | 1.35 | |||
| Skewness | (1.07) | |||
| Kurtosis | 2.39 |
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for PZZA Stock analysis
When running PT Sarimelati's price analysis, check to measure PT Sarimelati'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 PT Sarimelati is operating at the current time. Most of PT Sarimelati's value examination focuses on studying past and present price action to predict the probability of PT Sarimelati's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PT Sarimelati's price. Additionally, you may evaluate how the addition of PT Sarimelati to your portfolios can decrease your overall portfolio volatility.
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