Vermilion Energy Stock Forecast - Naive Prediction
| VET Stock | USD 8.01 0.14 1.72% |
The Naive Prediction forecasted value of Vermilion Energy on the next trading day is expected to be 8.40 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.94. Vermilion Stock Forecast is based on your current time horizon.
At this time the value of relative strength index of Vermilion Energy's share price is below 20 . This entails that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth (0.95) | EPS Estimate Next Quarter 0.19 | EPS Estimate Current Year (1.26) | EPS Estimate Next Year (0.16) | Wall Street Target Price 8.8681 |
Using Vermilion Energy hype-based prediction, you can estimate the value of Vermilion Energy from the perspective of Vermilion Energy response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Vermilion Energy using Vermilion Energy's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Vermilion using crowd psychology based on the activity and movement of Vermilion Energy's stock price.
Vermilion Energy Short Interest
An investor who is long Vermilion Energy may also wish to track short interest. As short interest increases, investors should be becoming more worried about Vermilion Energy and may potentially protect profits, hedge Vermilion Energy with its derivative instruments, or be ready for some potential downside.
200 Day MA 7.6417 | Short Percent 0.0392 | Short Ratio 10.35 | Shares Short Prior Month 2.7 M | 50 Day MA 8.4106 |
Vermilion Energy Hype to Price Pattern
Investor biases related to Vermilion Energy's public news can be used to forecast risks associated with an investment in Vermilion. The trend in average sentiment can be used to explain how an investor holding Vermilion can time the market purely based on public headlines and social activities around Vermilion Energy. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Vermilion Energy's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Vermilion Energy.
Vermilion Energy Implied Volatility | 0.84 |
Vermilion Energy's implied volatility exposes the market's sentiment of Vermilion Energy stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Vermilion Energy's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Vermilion Energy stock will not fluctuate a lot when Vermilion Energy's options are near their expiration.
The Naive Prediction forecasted value of Vermilion Energy on the next trading day is expected to be 8.40 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.94. Vermilion Energy after-hype prediction price | USD 8.01 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Vermilion | Build AI portfolio with Vermilion Stock |
Open Interest Against 2026-03-20 Vermilion Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Vermilion Energy's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Vermilion Energy's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Vermilion Energy stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Vermilion Energy's open interest, investors have to compare it to Vermilion Energy's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Vermilion Energy is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Vermilion. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Vermilion Energy Additional Predictive Modules
Most predictive techniques to examine Vermilion price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Vermilion using various technical indicators. When you analyze Vermilion charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Vermilion Energy's financial statements to predict how it will affect future prices.
Cash | First Reported 1997-06-30 | Previous Quarter 69.2 M | Current Value 46.1 M | Quarterly Volatility 75.8 M |
Vermilion Energy Naive Prediction Price Forecast For the 8th of January
Given 90 days horizon, the Naive Prediction forecasted value of Vermilion Energy on the next trading day is expected to be 8.40 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.06, and the sum of the absolute errors of 11.94.Please note that although there have been many attempts to predict Vermilion Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Vermilion Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Vermilion Energy Stock Forecast Pattern
| Backtest Vermilion Energy | Vermilion Energy Price Prediction | Buy or Sell Advice |
Vermilion Energy Forecasted Value
In the context of forecasting Vermilion Energy's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Vermilion Energy's downside and upside margins for the forecasting period are 5.60 and 11.19, respectively. We have considered Vermilion Energy's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Vermilion Energy stock data series using in forecasting. Note that when a statistical model is used to represent Vermilion Energy stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 117.1457 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1926 |
| MAPE | Mean absolute percentage error | 0.0238 |
| SAE | Sum of the absolute errors | 11.9434 |
Predictive Modules for Vermilion Energy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vermilion Energy. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vermilion Energy's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Vermilion Energy
For every potential investor in Vermilion, whether a beginner or expert, Vermilion Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Vermilion Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Vermilion. Basic forecasting techniques help filter out the noise by identifying Vermilion Energy's price trends.Vermilion Energy Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Vermilion Energy stock to make a market-neutral strategy. Peer analysis of Vermilion Energy could also be used in its relative valuation, which is a method of valuing Vermilion Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Vermilion Energy Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Vermilion Energy's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Vermilion Energy's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Vermilion Energy Market Strength Events
Market strength indicators help investors to evaluate how Vermilion Energy stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Vermilion Energy shares will generate the highest return on investment. By undertsting and applying Vermilion Energy stock market strength indicators, traders can identify Vermilion Energy entry and exit signals to maximize returns.
| Accumulation Distribution | 91469.41 | |||
| Daily Balance Of Power | (0.41) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 8.14 | |||
| Day Typical Price | 8.1 | |||
| Price Action Indicator | (0.20) | |||
| Period Momentum Indicator | (0.14) |
Vermilion Energy Risk Indicators
The analysis of Vermilion Energy's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Vermilion Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vermilion stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 2.16 | |||
| Semi Deviation | 2.5 | |||
| Standard Deviation | 2.82 | |||
| Variance | 7.94 | |||
| Downside Variance | 6.73 | |||
| Semi Variance | 6.26 | |||
| Expected Short fall | (2.37) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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Additional Tools for Vermilion Stock Analysis
When running Vermilion Energy's price analysis, check to measure Vermilion Energy'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 Vermilion Energy is operating at the current time. Most of Vermilion Energy's value examination focuses on studying past and present price action to predict the probability of Vermilion Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vermilion Energy's price. Additionally, you may evaluate how the addition of Vermilion Energy to your portfolios can decrease your overall portfolio volatility.