Sequoia Logstica (Brazil) Probability of Future Stock Price Finishing Over 6.39
| SEQL3 Stock | BRL 3.55 0.08 2.31% |
Sequoia |
Sequoia Logstica Target Price Odds to finish over 6.39
The tendency of Sequoia Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move over R$ 6.39 or more in 90 days |
| 3.55 | 90 days | 6.39 | about 1.03 |
Based on a normal probability distribution, the odds of Sequoia Logstica to move over R$ 6.39 or more in 90 days from now is about 1.03 (This Sequoia Logstica e probability density function shows the probability of Sequoia Stock to fall within a particular range of prices over 90 days) . Probability of Sequoia Logstica e price to stay between its current price of R$ 3.55 and R$ 6.39 at the end of the 90-day period is about 82.82 .
Assuming the 90 days trading horizon Sequoia Logstica e has a beta of -0.48. This usually implies as returns on the benchmark increase, returns on holding Sequoia Logstica are expected to decrease at a much lower rate. During a bear market, however, Sequoia Logstica e is likely to outperform the market. Additionally Sequoia Logstica e has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Sequoia Logstica Price Density |
| Price |
Predictive Modules for Sequoia Logstica
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sequoia Logstica e. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sequoia Logstica Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Sequoia Logstica is not an exception. The market had few large corrections towards the Sequoia Logstica's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Sequoia Logstica e, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Sequoia Logstica within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.51 | |
β | Beta against Dow Jones | -0.48 | |
σ | Overall volatility | 0.86 | |
Ir | Information ratio | -0.1 |
Sequoia Logstica Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Sequoia Logstica for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Sequoia Logstica e can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Sequoia Logstica e generated a negative expected return over the last 90 days | |
| Sequoia Logstica e has high historical volatility and very poor performance | |
| Sequoia Logstica e has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 1.52 B. Net Loss for the year was (17.86 M) with profit before overhead, payroll, taxes, and interest of 266.42 M. | |
| Sequoia Logstica e has accumulated about 132.5 M in cash with (87.9 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 2.35. | |
| Over 90.0% of the company shares are owned by institutional investors |
Sequoia Logstica Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Sequoia Stock often depends not only on the future outlook of the current and potential Sequoia Logstica's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Sequoia Logstica's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 139.4 M | |
| Cash And Short Term Investments | 168.9 M |
Sequoia Logstica Technical Analysis
Sequoia Logstica's future price can be derived by breaking down and analyzing its technical indicators over time. Sequoia Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Sequoia Logstica e. In general, you should focus on analyzing Sequoia Stock price patterns and their correlations with different microeconomic environments and drivers.
Sequoia Logstica Predictive Forecast Models
Sequoia Logstica's time-series forecasting models is one of many Sequoia Logstica's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Sequoia Logstica's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Sequoia Logstica e
Checking the ongoing alerts about Sequoia Logstica for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Sequoia Logstica e help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Sequoia Logstica e generated a negative expected return over the last 90 days | |
| Sequoia Logstica e has high historical volatility and very poor performance | |
| Sequoia Logstica e has high likelihood to experience some financial distress in the next 2 years | |
| The company reported the revenue of 1.52 B. Net Loss for the year was (17.86 M) with profit before overhead, payroll, taxes, and interest of 266.42 M. | |
| Sequoia Logstica e has accumulated about 132.5 M in cash with (87.9 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 2.35. | |
| Over 90.0% of the company shares are owned by institutional investors |
Additional Tools for Sequoia Stock Analysis
When running Sequoia Logstica's price analysis, check to measure Sequoia Logstica'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 Sequoia Logstica is operating at the current time. Most of Sequoia Logstica's value examination focuses on studying past and present price action to predict the probability of Sequoia Logstica's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sequoia Logstica's price. Additionally, you may evaluate how the addition of Sequoia Logstica to your portfolios can decrease your overall portfolio volatility.