Silver Mines (Germany) Price on December 18, 2024

SWQ Stock  EUR 0.04  0  2.39%   
If you're considering investing in Silver Stock, it is important to understand the factors that can impact its price. As of today, the current price of Silver Mines stands at 0.04, as last reported on the 23rd of December, with the highest price reaching 0.04 and the lowest price hitting 0.04 during the day. Silver Mines appears to be out of control, given 3 months investment horizon. Silver Mines Limited owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0403, which indicates the firm had a 0.0403% return per unit of risk over the last 3 months. We have found thirty technical indicators for Silver Mines Limited, which you can use to evaluate the volatility of the company. Please review Silver Mines' Risk Adjusted Performance of 0.0307, coefficient of variation of 3670.77, and Semi Deviation of 6.91 to confirm if our risk estimates are consistent with your expectations.
  
Silver Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = 0.0403

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Estimated Market Risk

 9.24
  actual daily
82
82% of assets are less volatile

Expected Return

 0.37
  actual daily
7
93% of assets have higher returns

Risk-Adjusted Return

 0.04
  actual daily
3
97% of assets perform better
Based on monthly moving average Silver Mines is performing at about 3% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Silver Mines by adding it to a well-diversified portfolio.

Silver Mines Valuation on December 18, 2024

It is possible to determine the worth of Silver Mines on a given historical date. On December 18, 2024 Silver was worth 0.0488 at the beginning of the trading date compared to the closed value of 0.0488. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Silver Mines stock. Still, in general, we apply an absolute valuation method to find Silver Mines' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Silver Mines where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Silver Mines' related companies.
 Open High Low Close Volume
  0.05    0.05    0.05    0.05    1.00  
12/18/2024
  0.05    0.05    0.05    0.05    1.00  
  0.05    0.05    0.05    0.05    1.00  
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Open Value
0.0488
0.0005
Downside
0.0488
Closing Value
27.77
Upside

Silver Mines Trading Date Momentum on December 18, 2024

On December 19 2024 Silver Mines Limited was traded for  0.05  at the closing time. The highest daily price throughout the period was 0.05  and the lowest price was  0.05 . There was no trading activity during the period 1.0. Lack of trading volume on 12/19/2024 added to the next day price reduction. The trading price change to closing price of the next trading day was 5.53% . The trading price change to current closing price is 9.84% .

Silver Mines Limited Fundamentals Correlations and Trends

By evaluating Silver Mines' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Silver Mines' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Silver financial account trend analysis is a perfect complement when working with valuation or volatility modules.

About Silver Mines Stock history

Silver Mines investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Silver is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Silver Mines Limited will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Silver Mines stock prices may prove useful in developing a viable investing in Silver Mines
Silver Mines Limited primarily engages in the exploration of silver deposits in Australia. Its principal property is the Bowdens silver project covering an area of 1,654 square kilometers located in the Central Tablelands Region, New South Wales. SILVER MINES operates under Silver classification in Germany and is traded on Frankfurt Stock Exchange. It employs 20 people.

Silver Mines Stock Technical Analysis

Silver Mines 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.
A focus of Silver Mines technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Silver Mines trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Price Boundaries

Silver Mines Period Price Range

Low
December 23, 2024
0.00  NaN%
High

 0.00 

     

 0.00 

Silver Mines Limited cannot be verified against its exchange. Please verify the symbol is currently traded on Frankfurt Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.

Silver Mines December 23, 2024 Market Strength

Market strength indicators help investors to evaluate how Silver Mines stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Silver Mines shares will generate the highest return on investment. By undertsting and applying Silver Mines stock market strength indicators, traders can identify Silver Mines Limited entry and exit signals to maximize returns

Silver Mines Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Silver Mines' price direction in advance. Along with the technical and fundamental analysis of Silver Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Silver to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

Complementary Tools for Silver Stock analysis

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