# Sigma Stock Technical Analysis

SGML | Stock | ## USD 31.72 1.66 4.97% |

As of the 2nd of December, Sigma Lithium has the Risk Adjusted Performance of 0.2565, coefficient of variation of 602.76, and Semi Deviation of 3.6. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sigma Lithium Resources, as well as the relationship between them. In other words, you can use this information to find out if the company will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We have collected data for nineteen technical drivers for Sigma Lithium Resources, which can be compared to its competition. Please validate Sigma Lithium Resources downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if Sigma Lithium is priced more or less accurately, providing market reflects its prevalent price of 31.72 per share. Given that Sigma Lithium Resources has jensen alpha of 0.5275, we advise you to double-check Sigma Lithium Resources's current market performance to make sure the company can sustain itself at a future point.

Sigma |

### Sigma Lithium Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sigma, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Sigma Sigma Lithium's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.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.

## Sigma Lithium Resources 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 Sigma Lithium Resources volatility. High ATR values indicate high volatility, and low values indicate low volatility. .

## Sigma Lithium Resources Trend Analysis

Use this graph to draw trend lines for Sigma Lithium Resources. You can use it to identify possible trend reversals for Sigma Lithium 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 Sigma Lithium price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.## Sigma Lithium Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Sigma Lithium Resources applied against its price change over selected period. The best fit line has a slop of 0.14 , which means Sigma Lithium Resources will continue generating value for investors. It has 122 observation points and a regression sum of squares at 783.86, which is the sum of squared deviations for the predicted Sigma Lithium price change compared to its average price change.## About Sigma Lithium 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 Sigma Lithium Resources 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 Sigma Lithium Resources based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sigma Lithium Resources price pattern first instead of the macroeconomic environment surrounding Sigma Lithium Resources. By analyzing Sigma Lithium'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 Sigma Lithium'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 Sigma Lithium specific price patterns or momentum indicators. Please read more on our technical analysis page.

## Sigma Lithium December 2, 2022 Technical Indicators

Most technical analysis of Sigma 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 Sigma from various momentum indicators to cycle indicators. When you analyze Sigma 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.

Cycle Indicators | ||

Math Operators | ||

Math Transform | ||

Momentum Indicators | ||

Overlap Studies | ||

Pattern Recognition | ||

Price Transform | ||

Statistic Functions | ||

Volatility Indicators | ||

Volume Indicators |

Risk Adjusted Performance | 0.2565 | |||

Market Risk Adjusted Performance | 0.4732 | |||

Mean Deviation | 3.58 | |||

Semi Deviation | 3.6 | |||

Downside Deviation | 3.82 | |||

Coefficient Of Variation | 602.76 | |||

Standard Deviation | 4.27 | |||

Variance | 18.19 | |||

Information Ratio | 0.1371 | |||

Jensen Alpha | 0.5275 | |||

Total Risk Alpha | 0.378 | |||

Sortino Ratio | 0.1529 | |||

Treynor Ratio | 0.4632 | |||

Maximum Drawdown | 20.18 | |||

Value At Risk | (6.05) | |||

Potential Upside | 6.45 | |||

Downside Variance | 14.62 | |||

Semi Variance | 12.97 | |||

Expected Short fall | (4.16) | |||

Skewness | 6.0E-4 | |||

Kurtosis | (0.53) |

## Sigma Lithium December 2, 2022 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Sigma stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.

Accumulation Distribution | 29,731 | ||

Daily Balance Of Power | (0.81) | ||

Rate Of Daily Change | 0.95 | ||

Day Median Price | 31.68 | ||

Day Typical Price | 31.69 | ||

Price Action Indicator | (0.79) |

Additionally, take a look at World Market Map. You can also try Stock Screener module to find equities using custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..

## Complementary Tools for analysis

When running Sigma Lithium Resources 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 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.

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Is Sigma Lithium's industry 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.

Market Capitalization 3.5 B | Return On Assets (0.29) | Return On Equity (0.51) |

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 Sigma Lithium value 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.