Log In (Brazil) Technical Analysis
| LOGN3 Stock | BRL 20.00 0.27 1.37% |
As of the 16th of December 2024, Log In secures the Standard Deviation of 3.56, mean deviation of 2.74, and Risk Adjusted Performance of (0.15). In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Log In Logstica, as well as the relationship between them. Please verify Log In Logstica standard deviation, information ratio, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if Log In Logstica Intermodal is priced some-what accurately, providing market reflects its recent price of 20.0 per share.
Log In Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Log, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LogLog |
Log In 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.
Log In Logstica 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 Log In Logstica volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Log In Logstica Trend Analysis
Use this graph to draw trend lines for Log In Logstica Intermodal. You can use it to identify possible trend reversals for Log In 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 Log In price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Log In Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Log In Logstica Intermodal applied against its price change over selected period. The best fit line has a slop of 0.3 , which may suggest that Log In Logstica Intermodal market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3299.54, which is the sum of squared deviations for the predicted Log In price change compared to its average price change.About Log In 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 Log In Logstica Intermodal 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 Log In Logstica Intermodal based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Log In Logstica price pattern first instead of the macroeconomic environment surrounding Log In Logstica. By analyzing Log In'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 Log In'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 Log In specific price patterns or momentum indicators. Please read more on our technical analysis page.
Log In December 16, 2024 Technical Indicators
Most technical analysis of Log 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 Log from various momentum indicators to cycle indicators. When you analyze Log 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.
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.15) | |||
| Market Risk Adjusted Performance | (8.75) | |||
| Mean Deviation | 2.74 | |||
| Coefficient Of Variation | (449.06) | |||
| Standard Deviation | 3.56 | |||
| Variance | 12.68 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | (0.81) | |||
| Total Risk Alpha | (1.25) | |||
| Treynor Ratio | (8.76) | |||
| Maximum Drawdown | 18.44 | |||
| Value At Risk | (6.59) | |||
| Potential Upside | 5.9 | |||
| Skewness | (0.21) | |||
| Kurtosis | 0.5795 |
Additional Tools for Log Stock Analysis
When running Log In's price analysis, check to measure Log In'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 Log In is operating at the current time. Most of Log In's value examination focuses on studying past and present price action to predict the probability of Log In's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Log In's price. Additionally, you may evaluate how the addition of Log In to your portfolios can decrease your overall portfolio volatility.