Sigma Lithium Resources Stock Probability of Future Stock Price Finishing Under 16.26
| SGML Stock | 16.04 0.35 2.23% |
Sigma |
Sigma Lithium Target Price Odds to finish below 16.26
The tendency of Sigma 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 stay under 16.26 after 90 days |
| 16.04 | 90 days | 16.26 | about 7.26 |
Based on a normal probability distribution, the odds of Sigma Lithium to stay under 16.26 after 90 days from now is about 7.26 (This Sigma Lithium Resources probability density function shows the probability of Sigma Stock to fall within a particular range of prices over 90 days) . Probability of Sigma Lithium Resources price to stay between its current price of 16.04 and 16.26 at the end of the 90-day period is about 1.98 .
Assuming the 90 days trading horizon Sigma Lithium Resources has a beta of -0.2. This usually implies as returns on the benchmark increase, returns on holding Sigma Lithium are expected to decrease at a much lower rate. During a bear market, however, Sigma Lithium Resources is likely to outperform the market. Additionally Sigma Lithium Resources has an alpha of 0.1244, implying that it can generate a 0.12 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Sigma Lithium Price Density |
| Price |
Predictive Modules for Sigma Lithium
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sigma Lithium Resources. 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.Sigma Lithium Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Sigma Lithium is not an exception. The market had few large corrections towards the Sigma Lithium'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 Sigma Lithium Resources, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Sigma Lithium within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.12 | |
β | Beta against Dow Jones | -0.2 | |
σ | Overall volatility | 1.37 | |
Ir | Information ratio | 0.03 |
Sigma Lithium 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 Sigma Lithium for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Sigma Lithium Resources can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Sigma Lithium generated a negative expected return over the last 90 days | |
| Sigma Lithium has high historical volatility and very poor performance | |
| The company reported the revenue of 181.23 M. Net Loss for the year was (38.25 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Sigma Lithium generates negative cash flow from operations | |
| Over 81.0% of the company shares are owned by institutional investors | |
| Latest headline from news.google.com: Sigma Lithiums SWOT analysis cost efficiency bolsters stock amid market headwinds - Investing.com Canada |
Sigma Lithium 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 Sigma Stock often depends not only on the future outlook of the current and potential Sigma Lithium'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. Sigma Lithium's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 110.1 M |
Sigma Lithium Technical Analysis
Sigma Lithium's future price can be derived by breaking down and analyzing its technical indicators over time. Sigma Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Sigma Lithium Resources. In general, you should focus on analyzing Sigma Stock price patterns and their correlations with different microeconomic environments and drivers.
Sigma Lithium Predictive Forecast Models
Sigma Lithium's time-series forecasting models is one of many Sigma Lithium'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 Sigma Lithium'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 Sigma Lithium Resources
Checking the ongoing alerts about Sigma Lithium for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Sigma Lithium Resources help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Sigma Lithium generated a negative expected return over the last 90 days | |
| Sigma Lithium has high historical volatility and very poor performance | |
| The company reported the revenue of 181.23 M. Net Loss for the year was (38.25 M) with profit before overhead, payroll, taxes, and interest of 0. | |
| Sigma Lithium generates negative cash flow from operations | |
| Over 81.0% of the company shares are owned by institutional investors | |
| Latest headline from news.google.com: Sigma Lithiums SWOT analysis cost efficiency bolsters stock amid market headwinds - Investing.com Canada |
Additional Tools for Sigma Stock Analysis
When running Sigma Lithium's price analysis, check to measure Sigma Lithium'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 Sigma Lithium is operating at the current time. Most of Sigma Lithium's value examination focuses on studying past and present price action to predict the probability of Sigma Lithium's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sigma Lithium's price. Additionally, you may evaluate how the addition of Sigma Lithium to your portfolios can decrease your overall portfolio volatility.