Frontline Stock Forward View - Simple Regression
| FRO Stock | USD 29.06 0.04 0.14% |
Frontline Stock outlook is based on your current time horizon. Although Frontline's naive historical forecasting may sometimes provide an important future outlook for the firm, we suggest always cross-verifying it against solid analysis of Frontline's systematic risk associated with finding meaningful patterns of Frontline fundamentals over time.
As of today the value of relative strength index of Frontline's share price is below 20 . This usually indicates 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 (0.33) | EPS Estimate Next Quarter 0.8542 | EPS Estimate Current Year 1.8312 | EPS Estimate Next Year 3.0121 | Wall Street Target Price 31.5 |
Using Frontline hype-based prediction, you can estimate the value of Frontline from the perspective of Frontline response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Frontline using Frontline's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Frontline using crowd psychology based on the activity and movement of Frontline's stock price.
Frontline Short Interest
An investor who is long Frontline may also wish to track short interest. As short interest increases, investors should be becoming more worried about Frontline and may potentially protect profits, hedge Frontline with its derivative instruments, or be ready for some potential downside.
200 Day MA 21.3819 | Short Percent 0.0293 | Short Ratio 1.35 | Shares Short Prior Month 4.5 M | 50 Day MA 24.3466 |
Frontline Relative Strength Index
The Simple Regression forecasted value of Frontline on the next trading day is expected to be 26.98 with a mean absolute deviation of 1.62 and the sum of the absolute errors of 98.58.Frontline Hype to Price Pattern
Investor biases related to Frontline's public news can be used to forecast risks associated with an investment in Frontline. The trend in average sentiment can be used to explain how an investor holding Frontline can time the market purely based on public headlines and social activities around Frontline. 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 Frontline's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Frontline.
Frontline Implied Volatility | 0.65 |
Frontline's implied volatility exposes the market's sentiment of Frontline stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Frontline'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 Frontline stock will not fluctuate a lot when Frontline's options are near their expiration.
The Simple Regression forecasted value of Frontline on the next trading day is expected to be 26.98 with a mean absolute deviation of 1.62 and the sum of the absolute errors of 98.58. Frontline after-hype prediction price | USD 29.22 |
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.
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Prediction based on Rule 16 of the current Frontline contract
Based on the Rule 16, the options market is currently suggesting that Frontline will have an average daily up or down price movement of about 0.0406% per day over the life of the 2026-05-15 option contract. With Frontline trading at USD 29.06, that is roughly USD 0.0118 . If you think that the market is fully incorporating Frontline's daily price movement you should consider acquiring Frontline options at the current volatility level of 0.65%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-05-15 Frontline Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Frontline'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 Frontline's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Frontline 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 Frontline's open interest, investors have to compare it to Frontline'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 Frontline 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 Frontline. 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.
Frontline Additional Predictive Modules
Most predictive techniques to examine Frontline price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Frontline using various technical indicators. When you analyze Frontline 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 |
Frontline Simple Regression Price Forecast For the 11th of February 2026
Given 90 days horizon, the Simple Regression forecasted value of Frontline on the next trading day is expected to be 26.98 with a mean absolute deviation of 1.62, mean absolute percentage error of 3.83, and the sum of the absolute errors of 98.58.Please note that although there have been many attempts to predict Frontline Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Frontline's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Frontline Stock Forecast Pattern
| Backtest Frontline | Frontline Price Prediction | Research Analysis |
Frontline Forecasted Value
In the context of forecasting Frontline'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. Frontline's downside and upside margins for the forecasting period are 24.48 and 29.49, respectively. We have considered Frontline'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Frontline stock data series using in forecasting. Note that when a statistical model is used to represent Frontline 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 | 119.4538 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.6161 |
| MAPE | Mean absolute percentage error | 0.0673 |
| SAE | Sum of the absolute errors | 98.5846 |
Predictive Modules for Frontline
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Frontline. 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.Frontline After-Hype Price Density Analysis
As far as predicting the price of Frontline at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Frontline or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Frontline, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Frontline Estimiated After-Hype Price Volatility
In the context of predicting Frontline's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Frontline's historical news coverage. Frontline's after-hype downside and upside margins for the prediction period are 26.71 and 31.73, respectively. We have considered Frontline's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Frontline is very steady at this time. Analysis and calculation of next after-hype price of Frontline is based on 3 months time horizon.
Frontline Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Frontline is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Frontline backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Frontline, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.31 | 2.51 | 0.16 | 0.19 | 12 Events / Month | 7 Events / Month | In about 12 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
29.06 | 29.22 | 0.55 |
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Frontline Hype Timeline
On the 10th of February Frontline is traded for 29.06. The entity has historical hype elasticity of 0.16, and average elasticity to hype of competition of 0.19. Frontline is projected to increase in value after the next headline, with the price projected to jump to 29.22 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is projected to be 0.55%, whereas the daily expected return is currently at 0.31%. The volatility of related hype on Frontline is about 412.83%, with the expected price after the next announcement by competition of 29.25. The company reported the last year's revenue of 2.05 B. Total Income to common stockholders was 495.58 M with profit before taxes, overhead, and interest of 798.13 M. Considering the 90-day investment horizon the next projected press release will be in about 12 days. Check out Historical Fundamental Analysis of Frontline to cross-verify your projections.Frontline Related Hype Analysis
Having access to credible news sources related to Frontline's direct competition is more important than ever and may enhance your ability to predict Frontline's future price movements. Getting to know how Frontline's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Frontline may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SOBO | South Bow | 0.10 | 8 per month | 1.25 | 0.09 | 2.27 | (2.41) | 8.35 | |
| CHRD | Chord Energy Corp | 0.54 | 8 per month | 2.07 | 0.07 | 3.83 | (3.62) | 10.10 | |
| WFRD | Weatherford International plc | 3.32 | 6 per month | 1.78 | 0.18 | 4.77 | (3.39) | 13.20 | |
| NOV | NOV Inc | (0.43) | 12 per month | 2.03 | 0.13 | 4.31 | (4.47) | 12.40 | |
| CNX | CNX Resources Corp | 0.09 | 9 per month | 1.69 | 0.08 | 3.44 | (3.34) | 8.32 | |
| NE | Noble plc | 1.52 | 8 per month | 1.85 | 0.14 | 4.86 | (3.15) | 13.91 | |
| VIST | Vista Oil Gas | 0.65 | 9 per month | 2.59 | 0.05 | 4.21 | (4.38) | 13.64 | |
| TGS | Transportadora de Gas | 0.18 | 9 per month | 1.67 | (0.03) | 4.45 | (3.06) | 8.50 | |
| MTDR | Matador Resources | 0.05 | 9 per month | 2.10 | 0.11 | 3.73 | (4.01) | 9.76 | |
| CRK | Comstock Resources | 0.06 | 9 per month | 4.18 | 0.01 | 5.60 | (6.97) | 17.38 |
Other Forecasting Options for Frontline
For every potential investor in Frontline, whether a beginner or expert, Frontline's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Frontline Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Frontline. Basic forecasting techniques help filter out the noise by identifying Frontline's price trends.Frontline 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 Frontline stock to make a market-neutral strategy. Peer analysis of Frontline could also be used in its relative valuation, which is a method of valuing Frontline by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Frontline Market Strength Events
Market strength indicators help investors to evaluate how Frontline stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Frontline shares will generate the highest return on investment. By undertsting and applying Frontline stock market strength indicators, traders can identify Frontline entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 29.06 | |||
| Day Typical Price | 29.06 | |||
| Price Action Indicator | (0.02) | |||
| Period Momentum Indicator | (0.04) |
Frontline Risk Indicators
The analysis of Frontline'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 Frontline's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting frontline 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 | 1.77 | |||
| Semi Deviation | 2.09 | |||
| Standard Deviation | 2.43 | |||
| Variance | 5.9 | |||
| Downside Variance | 5.92 | |||
| Semi Variance | 4.35 | |||
| Expected Short fall | (1.91) |
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.
Story Coverage note for Frontline
The number of cover stories for Frontline depends on current market conditions and Frontline's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Frontline is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Frontline's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Frontline Short Properties
Frontline's future price predictability will typically decrease when Frontline's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Frontline often depends not only on the future outlook of the potential Frontline's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Frontline's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 222.6 M | |
| Cash And Short Term Investments | 417.6 M |
Check out Historical Fundamental Analysis of Frontline to cross-verify your projections. To learn how to invest in Frontline Stock, please use our How to Invest in Frontline guide.You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Will Oil & Gas Storage & Transportation sector continue expanding? Could Frontline diversify its offerings? Factors like these will boost the valuation of Frontline. Market participants price Frontline higher when confident in its future expansion prospects. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Frontline data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.33) | Dividend Share 0.93 | Earnings Share 0.98 | Revenue Per Share | Quarterly Revenue Growth (0.12) |
Understanding Frontline requires distinguishing between market price and book value, where the latter reflects Frontline's accounting equity. The concept of intrinsic value - what Frontline's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Frontline's price substantially above or below its fundamental value.
Please note, there is a significant difference between Frontline's value and its price as these two are different measures arrived at by different means. Investors typically determine if Frontline is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Frontline's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.