Vermilion Energy Stock Technical Analysis
| VET Stock | CAD 14.28 0.28 2.00% |
As of the 11th of February 2026, Vermilion Energy has the Coefficient Of Variation of 850.07, semi deviation of 2.25, and Risk Adjusted Performance of 0.1001. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Vermilion Energy, as well as the relationship between them.
Vermilion Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Vermilion, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to VermilionVermilion |
Vermilion Energy '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 Vermilion Energy'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 Vermilion Energy.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in Vermilion Energy on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding Vermilion Energy or generate 0.0% return on investment in Vermilion Energy over 90 days. Vermilion Energy is related to or competes with Headwater Exploration, Parex Resources, Birchcliff Energy, Kelt Exploration, Cardinal Energy, Surge Energy, and Advantage Oil. Vermilion Energy Inc., together with its subsidiaries, engages in the acquisition, exploration, development, and product... More
Vermilion Energy 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 Vermilion Energy'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 Vermilion Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.6 | |||
| Information Ratio | 0.0772 | |||
| Maximum Drawdown | 11.47 | |||
| Value At Risk | (4.27) | |||
| Potential Upside | 4.82 |
Vermilion Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vermilion Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vermilion Energy's standard deviation. In reality, there are many statistical measures that can use Vermilion Energy historical prices to predict the future Vermilion Energy's volatility.| Risk Adjusted Performance | 0.1001 | |||
| Jensen Alpha | 0.2849 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0761 | |||
| Treynor Ratio | 4.49 |
Vermilion Energy February 11, 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 | 0.1001 | |||
| Market Risk Adjusted Performance | 4.5 | |||
| Mean Deviation | 2.01 | |||
| Semi Deviation | 2.25 | |||
| Downside Deviation | 2.6 | |||
| Coefficient Of Variation | 850.07 | |||
| Standard Deviation | 2.56 | |||
| Variance | 6.54 | |||
| Information Ratio | 0.0772 | |||
| Jensen Alpha | 0.2849 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0761 | |||
| Treynor Ratio | 4.49 | |||
| Maximum Drawdown | 11.47 | |||
| Value At Risk | (4.27) | |||
| Potential Upside | 4.82 | |||
| Downside Variance | 6.74 | |||
| Semi Variance | 5.08 | |||
| Expected Short fall | (2.12) | |||
| Skewness | 0.1484 | |||
| Kurtosis | 0.0241 |
Vermilion Energy Backtested Returns
Vermilion Energy appears to be somewhat reliable, given 3 months investment horizon. Vermilion Energy owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Vermilion Energy, which you can use to evaluate the volatility of the company. Please review Vermilion Energy's Semi Deviation of 2.25, coefficient of variation of 850.07, and Risk Adjusted Performance of 0.1001 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Vermilion Energy holds a performance score of 9. The entity has a beta of 0.0648, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Vermilion Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vermilion Energy is expected to be smaller as well. Please check Vermilion Energy's skewness, and the relationship between the potential upside and rate of daily change , to make a quick decision on whether Vermilion Energy's existing price patterns will revert.
Auto-correlation | -0.75 |
Almost perfect reverse predictability
Vermilion Energy has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Vermilion Energy time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th 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 Vermilion Energy price movement. The serial correlation of -0.75 indicates that around 75.0% of current Vermilion Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.92 |
Vermilion Energy 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.
Vermilion Energy Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Vermilion Energy across different markets.
About Vermilion Energy 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 Vermilion Energy 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 Vermilion Energy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Vermilion Energy price pattern first instead of the macroeconomic environment surrounding Vermilion Energy. By analyzing Vermilion Energy'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 Vermilion Energy'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 Vermilion Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
Vermilion Energy February 11, 2026 Technical Indicators
Most technical analysis of Vermilion 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 Vermilion from various momentum indicators to cycle indicators. When you analyze Vermilion 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 | 0.1001 | |||
| Market Risk Adjusted Performance | 4.5 | |||
| Mean Deviation | 2.01 | |||
| Semi Deviation | 2.25 | |||
| Downside Deviation | 2.6 | |||
| Coefficient Of Variation | 850.07 | |||
| Standard Deviation | 2.56 | |||
| Variance | 6.54 | |||
| Information Ratio | 0.0772 | |||
| Jensen Alpha | 0.2849 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0761 | |||
| Treynor Ratio | 4.49 | |||
| Maximum Drawdown | 11.47 | |||
| Value At Risk | (4.27) | |||
| Potential Upside | 4.82 | |||
| Downside Variance | 6.74 | |||
| Semi Variance | 5.08 | |||
| Expected Short fall | (2.12) | |||
| Skewness | 0.1484 | |||
| Kurtosis | 0.0241 |
Vermilion Energy February 11, 2026 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 Vermilion 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 | 40,361 | ||
| Daily Balance Of Power | 0.64 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 14.20 | ||
| Day Typical Price | 14.23 | ||
| Price Action Indicator | 0.22 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Vermilion Energy. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. To learn how to invest in Vermilion Stock, please use our How to Invest in Vermilion Energy guide.You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.