Sigma Lithium Resources Stock Price Prediction
| SGML Stock | 19.43 0.97 4.75% |
Oversold Vs Overbought
53
Oversold | Overbought |
EPS Estimate Next Quarter 0.19 | EPS Estimate Current Year (0.40) | EPS Estimate Next Year 0.88 | Wall Street Target Price 26 | EPS Estimate Current Quarter 0.2 |
Using Sigma Lithium hype-based prediction, you can estimate the value of Sigma Lithium Resources from the perspective of Sigma Lithium response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Sigma Lithium to buy its stock at a price that has no basis in reality. In that case, they are not buying Sigma because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Sigma Lithium after-hype prediction price | CAD 19.34 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Sigma |
Sigma Lithium After-Hype Price Prediction Density Analysis
As far as predicting the price of Sigma Lithium at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Sigma Lithium or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Sigma Lithium, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Sigma Lithium Estimiated After-Hype Price Volatility
In the context of predicting Sigma Lithium's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Sigma Lithium's historical news coverage. Sigma Lithium's after-hype downside and upside margins for the prediction period are 15.10 and 23.58, respectively. We have considered Sigma Lithium's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Sigma Lithium is not too volatile at this time. Analysis and calculation of next after-hype price of Sigma Lithium Resources is based on 3 months time horizon.
Sigma Lithium Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Sigma Lithium is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Sigma Lithium backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Sigma Lithium, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.54 | 4.20 | 0.09 | 0.01 | 2 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
19.43 | 19.34 | 0.46 |
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Sigma Lithium Hype Timeline
Sigma Lithium Resources is at this time traded for 19.43on TSX Venture Exchange of Canada. The entity has historical hype elasticity of -0.09, and average elasticity to hype of competition of 0.01. Sigma is expected to decline in value after the next headline, with the price expected to drop to 19.34. The average volatility of media hype impact on the company price is over 100%. The price drop on the next news is expected to be -0.46%, whereas the daily expected return is at this time at 0.54%. The volatility of related hype on Sigma Lithium is about 18000.0%, with the expected price after the next announcement by competition of 19.44. About 81.0% of the company shares are owned by institutional investors. The company recorded a loss per share of 0.63. Sigma Lithium Resources last dividend was issued on the 22nd of June 2018. The entity had 1:10 split on the 22nd of June 2018. Assuming the 90 days trading horizon the next expected press release will be in a few days. Check out Sigma Lithium Basic Forecasting Models to cross-verify your projections.Sigma Lithium Related Hype Analysis
Having access to credible news sources related to Sigma Lithium's direct competition is more important than ever and may enhance your ability to predict Sigma Lithium's future price movements. Getting to know how Sigma Lithium's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Sigma Lithium may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SLI | Standard Lithium | 0.06 | 3 per month | 6.63 | 0.1 | 15.81 | (8.89) | 39.08 | |
| FL | Frontier Lithium | 0.01 | 2 per month | 0.00 | (0.08) | 4.84 | (4.55) | 13.57 | |
| LTH | InZinc Mining | 0.00 | 0 per month | 3.53 | 0.09 | 10.94 | (6.33) | 23.06 |
Sigma Lithium Additional Predictive Modules
Most predictive techniques to examine Sigma price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sigma using various technical indicators. When you analyze Sigma charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 | ||
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| Volume Indicators |
About Sigma Lithium Predictive Indicators
The successful prediction of Sigma Lithium stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Sigma Lithium Resources, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Sigma Lithium based on analysis of Sigma Lithium hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Sigma Lithium's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Sigma Lithium's related companies. | 2023 | 2024 (projected) | Graham Number | 3.98 | 2.5 | Receivables Turnover | 3.44 | 3.06 |
Story Coverage note for Sigma Lithium
The number of cover stories for Sigma Lithium depends on current market conditions and Sigma Lithium's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Sigma Lithium is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Sigma Lithium's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Sigma Lithium Short Properties
Sigma Lithium's future price predictability will typically decrease when Sigma Lithium's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Sigma Lithium Resources often depends not only on the future outlook of the 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 |
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.