FS Energy Pink Sheet Forward View - Polynomial Regression
| FSENDelisted Stock | USD 14.09 0.00 0.00% |
FSEN Pink Sheet outlook is based on your current time horizon.
As of today The relative strength index (RSI) of FS Energy's share price is above 80 . This usually indicates that the pink sheet is significantly overbought by investors. 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 100
Buy Peaked
Oversold | Overbought |
Using FS Energy hype-based prediction, you can estimate the value of FS Energy And from the perspective of FS Energy response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of FS Energy And on the next trading day is expected to be 14.03 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.23. FS Energy after-hype prediction price | USD 14.09 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
FSEN |
FS Energy Additional Predictive Modules
Most predictive techniques to examine FSEN price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for FSEN using various technical indicators. When you analyze FSEN 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 |
FS Energy Polynomial Regression Price Forecast For the 4th of February
Given 90 days horizon, the Polynomial Regression forecasted value of FS Energy And on the next trading day is expected to be 14.03 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.23.Please note that although there have been many attempts to predict FSEN Pink Sheet 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 FS Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
FS Energy Pink Sheet Forecast Pattern
| Backtest FS Energy | FS Energy Price Prediction | Research Analysis |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of FS Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent FS Energy pink sheet, 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 | 113.7908 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0858 |
| MAPE | Mean absolute percentage error | 0.0063 |
| SAE | Sum of the absolute errors | 5.2331 |
Predictive Modules for FS 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 FS Energy And. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 FS 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.
FS Energy After-Hype Price Density Analysis
As far as predicting the price of FS Energy 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 FS Energy 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 Pink Sheet prices, such as prices of FS Energy, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
FS Energy Estimiated After-Hype Price Volatility
In the context of predicting FS Energy's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on FS Energy's historical news coverage. FS Energy's after-hype downside and upside margins for the prediction period are 14.09 and 14.09, respectively. We have considered FS Energy'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
FS Energy is very steady at this time. Analysis and calculation of next after-hype price of FS Energy And is based on 3 months time horizon.
FS Energy Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as FS Energy is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading FS Energy 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 Pink Sheet 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 FS Energy, 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 |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 1 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
14.09 | 14.09 | 0.00 |
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FS Energy Hype Timeline
FS Energy And is currently traded for 14.09. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. FSEN is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on FS Energy is about 0.0%, with the expected price after the next announcement by competition of 14.09. The company last dividend was issued on the 29th of December 2022. Given the investment horizon of 90 days the next forecasted press release will be in a few days. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in services.FS Energy Related Hype Analysis
Having access to credible news sources related to FS Energy's direct competition is more important than ever and may enhance your ability to predict FS Energy's future price movements. Getting to know how FS Energy'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 FS Energy may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NXJ | Nuveen New Jersey | 0.02 | 2 per month | 0.00 | (0.16) | 0.64 | (0.56) | 1.60 | |
| MUJ | Blackrock Muniholdings New | (0.07) | 2 per month | 0.00 | 0.11 | 0.68 | (0.67) | 2.30 | |
| FSK | FS KKR Capital | 0.08 | 8 per month | 0.00 | (0.14) | 2.05 | (2.21) | 5.70 | |
| APO | Apollo Global Management | 0.16 | 7 per month | 1.84 | 0.04 | 2.62 | (3.64) | 10.80 | |
| IPXHY | Inpex Corp ADR | 0.00 | 0 per month | 1.47 | 0.12 | 3.28 | (2.45) | 9.10 | |
| DKILF | Daikin IndustriesLtd | 0.00 | 0 per month | 3.17 | 0.05 | 5.24 | (4.85) | 16.91 | |
| GWLIF | Great West Lifeco | 0.00 | 0 per month | 1.59 | 0.06 | 2.25 | (1.70) | 11.89 |
FS 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 FS Energy pink sheet to make a market-neutral strategy. Peer analysis of FS Energy could also be used in its relative valuation, which is a method of valuing FS Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FS Energy Market Strength Events
Market strength indicators help investors to evaluate how FS Energy pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading FS Energy shares will generate the highest return on investment. By undertsting and applying FS Energy pink sheet market strength indicators, traders can identify FS Energy And entry and exit signals to maximize returns.
FS Energy Risk Indicators
The analysis of FS 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 FS Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fsen pink sheet 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 | 0.1365 | |||
| Standard Deviation | 0.5639 | |||
| Variance | 0.318 |
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 FS Energy
The number of cover stories for FS Energy depends on current market conditions and FS Energy's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that FS Energy 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 FS Energy'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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Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in services. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Other Consideration for investing in FSEN Pink Sheet
If you are still planning to invest in FS Energy And check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the FS Energy's history and understand the potential risks before investing.
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