SIERRA METALS (Germany) Analysis

DFXN Stock  EUR 0.56  0.03  5.66%   
SIERRA METALS is overvalued with Real Value of 0.46 and Hype Value of 0.56. The main objective of SIERRA METALS stock analysis is to determine its intrinsic value, which is an estimate of what SIERRA METALS is worth, separate from its market price. There are two main types of SIERRA METALS's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect SIERRA METALS's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of SIERRA METALS's stock to identify patterns and trends that may indicate its future price movements.
The SIERRA METALS stock is traded in Germany on Munich Exchange, with the market opening at 08:00:00 and closing at 20:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. SIERRA METALS is usually not traded on GermanUnityDay, Christmas Day, Boxing Day, New Year 's Day, Good Friday, Easter Monday, International Workers ' Day. SIERRA Stock trading window is adjusted to Europe/Berlin timezone.
  
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in SIERRA METALS. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

SIERRA Stock Analysis Notes

The company has price-to-book (P/B) ratio of 0.25. Some equities with similar Price to Book (P/B) outperform the market in the long run. SIERRA METALS had not issued any dividends in recent years.

SIERRA METALS Investment Alerts

SIERRA METALS has some characteristics of a very speculative penny stock
SIERRA METALS had very high historical volatility over the last 90 days
The company reported the revenue of 272.01 M. Net Loss for the year was (27.36 M) with profit before overhead, payroll, taxes, and interest of 0.

SIERRA Market Capitalization

The company currently falls under 'Small-Cap' category with a current market capitalization of 190.14 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate SIERRA METALS's market, we take the total number of its shares issued and multiply it by SIERRA METALS's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Technical Drivers

As of the 21st of December, SIERRA METALS has the coefficient of variation of 900.41, and Risk Adjusted Performance of 0.0955. SIERRA METALS technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.

SIERRA METALS Price Movement Analysis

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The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. SIERRA METALS middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for SIERRA METALS. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

SIERRA METALS Predictive Daily Indicators

SIERRA METALS intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of SIERRA METALS stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

SIERRA METALS Forecast Models

SIERRA METALS's time-series forecasting models are one of many SIERRA METALS's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae 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. These non-stationary SIERRA METALS'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 market movement and maximize returns from investment trading.

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As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding SIERRA METALS to your portfolios without increasing risk or reducing expected return.

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Bollinger Bands

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Additional Tools for SIERRA Stock Analysis

When running SIERRA METALS's price analysis, check to measure SIERRA METALS'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 SIERRA METALS is operating at the current time. Most of SIERRA METALS's value examination focuses on studying past and present price action to predict the probability of SIERRA METALS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SIERRA METALS's price. Additionally, you may evaluate how the addition of SIERRA METALS to your portfolios can decrease your overall portfolio volatility.