Tri Banyan (Indonesia) Technical Analysis
| ALTO Stock | IDR 17.00 1.00 5.56% |
As of the 19th of April, Tri Banyan has the Variance of 11.44, coefficient of variation of (216.59), and Risk Adjusted Performance of (0.28). Tri Banyan technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. In other words, you can use this information to find out if the company will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to interpolate twelve technical drivers for Tri Banyan Tirta, which can be compared to its competition. Please validate Tri Banyan Tirta total risk alpha, maximum drawdown, and the relationship between the variance and treynor ratio to decide if Tri Banyan is priced more or less accurately, providing market reflects its prevalent price of 17.0 per share.
Tri Banyan Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Tri, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TriTri |
Tri Banyan 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.
Tri Banyan Tirta Technical Analysis
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Tri Banyan Tirta Trend Analysis
Use this graph to draw trend lines for Tri Banyan Tirta. You can use it to identify possible trend reversals for Tri Banyan 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 Tri Banyan price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Tri Banyan Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Tri Banyan Tirta applied against its price change over selected period. The best fit line has a slop of 0.39 , which may suggest that Tri Banyan Tirta market price will keep on failing further. It has 122 observation points and a regression sum of squares at 5772.88, which is the sum of squared deviations for the predicted Tri Banyan price change compared to its average price change.About Tri Banyan 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 Tri Banyan Tirta 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 Tri Banyan Tirta based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Tri Banyan Tirta price pattern first instead of the macroeconomic environment surrounding Tri Banyan Tirta. By analyzing Tri Banyan'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 Tri Banyan'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 Tri Banyan specific price patterns or momentum indicators. Please read more on our technical analysis page.
Tri Banyan April 19, 2024 Technical Indicators
Most technical analysis of Tri 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 Tri from various momentum indicators to cycle indicators. When you analyze Tri 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 | (0.28) | |||
| Market Risk Adjusted Performance | (0.96) | |||
| Mean Deviation | 2.56 | |||
| Coefficient Of Variation | (216.59) | |||
| Standard Deviation | 3.38 | |||
| Variance | 11.44 | |||
| Information Ratio | (0.48) | |||
| Jensen Alpha | (1.67) | |||
| Total Risk Alpha | (1.89) | |||
| Treynor Ratio | (0.97) | |||
| Maximum Drawdown | 10.0 | |||
| Value At Risk | (9.68) | |||
| Skewness | (1.78) | |||
| Kurtosis | 1.34 |
Check out Trending Equities 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Complementary Tools for Tri Stock analysis
When running Tri Banyan's price analysis, check to measure Tri Banyan'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 Tri Banyan is operating at the current time. Most of Tri Banyan's value examination focuses on studying past and present price action to predict the probability of Tri Banyan's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Tri Banyan's price. Additionally, you may evaluate how the addition of Tri Banyan to your portfolios can decrease your overall portfolio volatility.
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