Sigma Lithium Resources Stock Market Value
| SGML Stock | USD 12.36 1.11 8.24% |
| Symbol | Sigma |
Sigma Lithium Resources Price To Book Ratio
Is Diversified Metals & Mining space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Sigma Lithium. If investors know Sigma will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Sigma Lithium listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.28) | Revenue Per Share | Quarterly Revenue Growth 0.366 | Return On Assets | Return On Equity |
The market value of Sigma Lithium Resources is measured differently than its book value, which is the value of Sigma that is recorded on the company's balance sheet. Investors also form their own opinion of Sigma Lithium's value that differs from its market value or its book value, called intrinsic value, which is Sigma Lithium's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Sigma Lithium's market value can be influenced by many factors that don't directly affect Sigma Lithium's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Sigma Lithium's value and its price as these two are different measures arrived at by different means. Investors typically determine if Sigma Lithium is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sigma Lithium's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Sigma Lithium 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Sigma Lithium's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Sigma Lithium.
| 07/25/2025 |
| 01/21/2026 |
If you would invest 0.00 in Sigma Lithium on July 25, 2025 and sell it all today you would earn a total of 0.00 from holding Sigma Lithium Resources or generate 0.0% return on investment in Sigma Lithium over 180 days. Sigma Lithium is related to or competes with Nexa Resources, American Battery, NioCorp Developments, Lithium Argentina, Compass Minerals, Nouveau Monde, and Lightwave Logic. Sigma Lithium Corporation engages in the exploration and development of lithium deposits in Brazil More
Sigma Lithium Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Sigma Lithium's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Sigma Lithium Resources upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.72 | |||
| Information Ratio | 0.1516 | |||
| Maximum Drawdown | 48.4 | |||
| Value At Risk | (13.89) | |||
| Potential Upside | 13.25 |
Sigma Lithium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sigma Lithium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sigma Lithium's standard deviation. In reality, there are many statistical measures that can use Sigma Lithium historical prices to predict the future Sigma Lithium's volatility.| Risk Adjusted Performance | 0.1257 | |||
| Jensen Alpha | 1.48 | |||
| Total Risk Alpha | 0.6549 | |||
| Sortino Ratio | 0.1822 | |||
| Treynor Ratio | (12.27) |
Sigma Lithium Resources Backtested Returns
Sigma Lithium is moderately volatile given 3 months investment horizon. Sigma Lithium Resources owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the firm had a 0.18 % return per unit of risk over the last 3 months. We have collected data for twenty-seven different technical indicators, which can help you to evaluate if expected returns of 1.74% are justified by taking the suggested risk. Use Sigma Lithium Resources Risk Adjusted Performance of 0.1257, semi deviation of 7.03, and Coefficient Of Variation of 626.64 to evaluate company specific risk that cannot be diversified away. Sigma Lithium holds a performance score of 14 on a scale of zero to a hundred. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sigma Lithium are expected to decrease at a much lower rate. During the bear market, Sigma Lithium is likely to outperform the market. Use Sigma Lithium Resources downside variance, and the relationship between the sortino ratio and daily balance of power , to analyze future returns on Sigma Lithium Resources.
Auto-correlation | 0.60 |
Good predictability
Sigma Lithium Resources has good predictability. Overlapping area represents the amount of predictability between Sigma Lithium time series from 25th of July 2025 to 23rd of October 2025 and 23rd of October 2025 to 21st of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Sigma Lithium Resources price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Sigma Lithium price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 11.76 |
Sigma Lithium Resources lagged returns against current returns
Autocorrelation, which is Sigma Lithium stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Sigma Lithium's stock expected returns. We can calculate the autocorrelation of Sigma Lithium returns to help us make a trade decision. For example, suppose you find that Sigma Lithium has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Sigma Lithium regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Sigma Lithium stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sigma Lithium stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sigma Lithium stock over time.
Current vs Lagged Prices |
| Timeline |
Sigma Lithium Lagged Returns
When evaluating Sigma Lithium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sigma Lithium stock have on its future price. Sigma Lithium autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Sigma Lithium autocorrelation shows the relationship between Sigma Lithium stock current value and its past values and can show if there is a momentum factor associated with investing in Sigma Lithium Resources.
Regressed Prices |
| Timeline |
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Sigma Lithium 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.