Orla Mining Stock Market Value
| ORLA Stock | USD 16.10 1.15 6.67% |
| Symbol | Orla |
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 Orla Mining. Anticipated expansion of Orla directly elevates investor willingness to pay premium valuations. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Orla Mining assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth 1.333 | Earnings Share 0.16 | Revenue Per Share | Quarterly Revenue Growth 1.769 | Return On Assets |
The market value of Orla Mining is measured differently than its book value, which is the value of Orla that is recorded on the company's balance sheet. Investors also form their own opinion of Orla Mining's value that differs from its market value or its book value, called intrinsic value, which is Orla Mining'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 Orla Mining's market value can be influenced by many factors that don't directly affect Orla Mining's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between Orla Mining's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Orla Mining should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Orla Mining's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Orla Mining '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 Orla Mining'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 Orla Mining.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Orla Mining on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Orla Mining or generate 0.0% return on investment in Orla Mining over 90 days. Orla Mining is related to or competes with NovaGold Resources, United States, Centerra Gold, Knife River, Perimeter Solutions, Scotts Miracle, and Cabot. Orla Mining Ltd. acquires, explores for, and develops mineral properties More
Orla Mining 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 Orla Mining'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 Orla Mining upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.21 | |||
| Information Ratio | 0.1558 | |||
| Maximum Drawdown | 27.4 | |||
| Value At Risk | (8.21) | |||
| Potential Upside | 8.21 |
Orla Mining Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Orla Mining's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orla Mining's standard deviation. In reality, there are many statistical measures that can use Orla Mining historical prices to predict the future Orla Mining's volatility.| Risk Adjusted Performance | 0.148 | |||
| Jensen Alpha | 0.7821 | |||
| Total Risk Alpha | 0.4139 | |||
| Sortino Ratio | 0.1495 | |||
| Treynor Ratio | 0.8972 |
Orla Mining February 13, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.148 | |||
| Market Risk Adjusted Performance | 0.9072 | |||
| Mean Deviation | 3.48 | |||
| Semi Deviation | 4.22 | |||
| Downside Deviation | 5.21 | |||
| Coefficient Of Variation | 581.53 | |||
| Standard Deviation | 5.0 | |||
| Variance | 24.96 | |||
| Information Ratio | 0.1558 | |||
| Jensen Alpha | 0.7821 | |||
| Total Risk Alpha | 0.4139 | |||
| Sortino Ratio | 0.1495 | |||
| Treynor Ratio | 0.8972 | |||
| Maximum Drawdown | 27.4 | |||
| Value At Risk | (8.21) | |||
| Potential Upside | 8.21 | |||
| Downside Variance | 27.12 | |||
| Semi Variance | 17.79 | |||
| Expected Short fall | (3.64) | |||
| Skewness | (0.06) | |||
| Kurtosis | 1.55 |
Orla Mining Backtested Returns
Orla Mining appears to be somewhat reliable, given 3 months investment horizon. Orla Mining maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the firm had a 0.12 % return per unit of risk over the last 3 months. By analyzing Orla Mining's technical indicators, you can evaluate if the expected return of 0.6% is justified by implied risk. Please evaluate Orla Mining's Risk Adjusted Performance of 0.148, semi deviation of 4.22, and Coefficient Of Variation of 581.53 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Orla Mining holds a performance score of 9. The company holds a Beta of 0.95, which implies possible diversification benefits within a given portfolio. Orla Mining returns are very sensitive to returns on the market. As the market goes up or down, Orla Mining is expected to follow. Please check Orla Mining's downside variance, daily balance of power, and the relationship between the maximum drawdown and skewness , to make a quick decision on whether Orla Mining's historical price patterns will revert.
Auto-correlation | 0.14 |
Insignificant predictability
Orla Mining has insignificant predictability. Overlapping area represents the amount of predictability between Orla Mining time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th of February 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 Orla Mining price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Orla Mining price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 3.02 |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Orla Mining offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Orla Mining's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Orla Mining Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Orla Mining Stock:Check out Orla Mining Correlation, Orla Mining Volatility and Orla Mining Performance module to complement your research on Orla Mining. For information on how to trade Orla Stock refer to our How to Trade Orla Stock guide.You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Orla Mining 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.