Everest Metals (Australia) Price History
EMC Stock | 0.14 0.01 7.69% |
Below is the normalized historical share price chart for Everest Metals extending back to October 18, 2006. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Everest Metals stands at 0.14, as last reported on the 6th of January, with the highest price reaching 0.14 and the lowest price hitting 0.14 during the day.
If you're considering investing in Everest Stock, it is important to understand the factors that can impact its price. Currently, Everest Metals is out of control. Everest Metals secures Sharpe Ratio (or Efficiency) of 0.0505, which denotes the company had a 0.0505% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Everest Metals, which you can use to evaluate the volatility of the firm. Please confirm Everest Metals' Coefficient Of Variation of 2042.14, mean deviation of 1.82, and Downside Deviation of 7.72 to check if the risk estimate we provide is consistent with the expected return of 0.19%.
Common Stock Shares Outstanding is likely to gain to about 183.8 M in 2025, whereas Total Stockholder Equity is likely to drop slightly above 7.6 M in 2025. . Everest Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 0.1216 | 50 Day MA 0.1324 | Beta 0.736 |
Everest |
Sharpe Ratio = 0.0505
Best Portfolio | Best Equity | |||
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Small Returns | EMC | |||
Cash | Small Risk | Average Risk | High Risk | Huge Risk |
Negative Returns |
Estimated Market Risk
3.69 actual daily | 32 68% of assets are more volatile |
Expected Return
0.19 actual daily | 3 97% of assets have higher returns |
Risk-Adjusted Return
0.05 actual daily | 3 97% of assets perform better |
Based on monthly moving average Everest Metals 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 Everest Metals by adding it to a well-diversified portfolio.
Price Book 3.557 | Book Value 0.071 | Enterprise Value 27.1 M | Enterprise Value Ebitda (4.69) | Price Sales 39.8975 |
Everest Metals Stock Price History Chart
There are several ways to analyze Everest Stock price data. The simplest method is using a basic Everest candlestick price chart, which shows Everest Metals price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
Highest Price | October 11, 2024 | 0.14 |
Lowest Price | October 9, 2024 | 0.13 |
Everest Metals January 6, 2025 Stock Price Synopsis
Various analyses of Everest Metals' daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Everest Stock. It can be used to describe the percentage change in the price of Everest Metals from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Everest Stock.Everest Metals Price Action Indicator | 0.01 | |
Everest Metals Price Rate Of Daily Change | 1.08 |
Everest Metals January 6, 2025 Stock Price Analysis
Everest Stock Price History Data
The price series of Everest Metals for the period between Tue, Oct 8, 2024 and Mon, Jan 6, 2025 has a statistical range of 0.01 with a coefficient of variation of 3.73. Under current investment horizon, the daily prices are spread out with arithmetic mean of 0.13. The median price for the last 90 days is 0.13. The company completed 1:50 stock split on 29th of November 2022.Open | High | Low | Close | Volume | ||
01/06/2025 | 0.14 | 0.14 | 0.14 | 0.14 | ||
01/03/2025 | 0.14 | 0.14 | 0.14 | 0.14 | 133,601 | |
01/02/2025 | 0.14 | 0.14 | 0.14 | 0.14 | 54,597 | |
12/31/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 31,011 | |
12/30/2024 | 0.14 | 0.14 | 0.13 | 0.13 | 336,896 | |
12/27/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 92,855 | |
12/24/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 56,360 | |
12/23/2024 | 0.14 | 0.14 | 0.13 | 0.13 | 116,127 | |
12/20/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 26,012 | |
12/19/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 49,246 | |
12/18/2024 | 0.14 | 0.14 | 0.13 | 0.14 | 735,042 | |
12/17/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 4,151 | |
12/16/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 219,967 | |
12/13/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 236,334 | |
12/12/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 121,689 | |
12/11/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 272,841 | |
12/10/2024 | 0.14 | 0.16 | 0.14 | 0.14 | 714,302 | |
12/09/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 123,348 | |
12/06/2024 | 0.14 | 0.14 | 0.13 | 0.14 | 177,061 | |
12/05/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 470,894 | |
12/04/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 114,476 | |
12/03/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 5,720 | |
12/02/2024 | 0.13 | 0.13 | 0.12 | 0.13 | 829,037 | |
11/29/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 1.00 | |
11/28/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 1.00 | |
11/27/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 85,387 | |
11/26/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 141,267 | |
11/25/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 3,500 | |
11/22/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 48,618 | |
11/21/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 72,235 | |
11/20/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 151,300 | |
11/19/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 459,908 | |
11/18/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 12,593 | |
11/15/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 46,382 | |
11/14/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 26,213 | |
11/13/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 239,959 | |
11/12/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 282,011 | |
11/11/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 196,864 | |
11/08/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 235,369 | |
11/07/2024 | 0.13 | 0.14 | 0.13 | 0.14 | 44,748 | |
11/06/2024 | 0.14 | 0.14 | 0.13 | 0.13 | 75,174 | |
11/05/2024 | 0.13 | 0.14 | 0.13 | 0.14 | 499,485 | |
11/04/2024 | 0.14 | 0.14 | 0.13 | 0.14 | 921,924 | |
11/01/2024 | 0.14 | 0.14 | 0.13 | 0.13 | 967,648 | |
10/31/2024 | 0.14 | 0.14 | 0.13 | 0.13 | 187,573 | |
10/30/2024 | 0.14 | 0.14 | 0.13 | 0.13 | 627,627 | |
10/29/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 99,952 | |
10/28/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 189,187 | |
10/25/2024 | 0.14 | 0.14 | 0.13 | 0.14 | 153,642 | |
10/24/2024 | 0.14 | 0.14 | 0.13 | 0.13 | 65,000 | |
10/23/2024 | 0.14 | 0.14 | 0.13 | 0.14 | 353,869 | |
10/22/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 219,182 | |
10/21/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 729,597 | |
10/18/2024 | 0.14 | 0.14 | 0.13 | 0.14 | 244,113 | |
10/17/2024 | 0.13 | 0.14 | 0.13 | 0.14 | 348.00 | |
10/16/2024 | 0.14 | 0.14 | 0.14 | 0.14 | 246,943 | |
10/15/2024 | 0.14 | 0.14 | 0.13 | 0.13 | 19,401 | |
10/14/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 877,438 | |
10/11/2024 | 0.13 | 0.14 | 0.13 | 0.14 | 458,197 | |
10/10/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 61,795 | |
10/09/2024 | 0.13 | 0.13 | 0.13 | 0.13 | 49,379 |
About Everest Metals Stock history
Everest Metals 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 Everest is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Everest Metals 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 Everest Metals stock prices may prove useful in developing a viable investing in Everest Metals
Last Reported | Projected for Next Year | ||
Common Stock Shares Outstanding | 175.1 M | 183.8 M | |
Net Loss | -2.2 M | -2.3 M |
Everest Metals Stock Technical Analysis
Everest Metals 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.
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Everest Metals Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Everest Metals' price direction in advance. Along with the technical and fundamental analysis of Everest Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Everest 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.
Risk Adjusted Performance | 0.0475 | |||
Jensen Alpha | 0.154 | |||
Total Risk Alpha | 0.1105 | |||
Sortino Ratio | 0.0198 | |||
Treynor Ratio | 0.1871 |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Additional Tools for Everest Stock Analysis
When running Everest Metals' price analysis, check to measure Everest Metals' 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 Everest Metals is operating at the current time. Most of Everest Metals' value examination focuses on studying past and present price action to predict the probability of Everest Metals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Everest Metals' price. Additionally, you may evaluate how the addition of Everest Metals to your portfolios can decrease your overall portfolio volatility.