Fs Energy And Stock Analysis
FSEN Stock | USD 14.00 0.31 2.17% |
FS Energy and is overvalued with Real Value of 11.34 and Hype Value of 14.01. The main objective of FS Energy pink sheet analysis is to determine its intrinsic value, which is an estimate of what FS Energy and is worth, separate from its market price. There are two main types of FS Energy's stock analysis: fundamental analysis and technical analysis.
The FS Energy pink sheet is traded in the USA on PINK Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA.
FSEN |
FSEN Pink Sheet Analysis Notes
The company last dividend was issued on the 29th of December 2022. FS Energy and Power Fund is business development company specializing in buyouts, debt and, to a lesser extent, equity securities investments. It prefers to invest in private U.S. energy and power companies. FS Energy is traded on OTC Exchange in the United States.The quote for FS Energy and is published daily by the National Quotation Bureau and the company does not need to meet minimum requirements or file with the SEC. To learn more about FS Energy and call Michael JD at 215-495-1150 or check out https://www.fsinvestments.com/investments/funds/fs.FS Energy Investment Alerts
FS Energy had very high historical volatility over the last 90 days | |
Latest headline from aol.com: One chart shows why the stock market could be in a bigger bubble than the dot-com boom |
FSEN Profitablity
The company has Profit Margin (PM) of 1.1 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.65 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.65.Technical Drivers
As of the 21st of July, FS Energy owns the Downside Deviation of 11.51, market risk adjusted performance of (0.45), and Standard Deviation of 5.03. FS Energy and technical analysis allows you to utilize past data patterns in order to determine a pattern that computes the direction of the firm's future prices.FS Energy Price Movement Analysis
The output start index for this execution was twenty-nine with a total number of output elements of thirty-two. The Simple Moving Average indicator is calculated by adding the closing price of FS Energy for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out FS Energy short-term fluctuations and highlight longer-term trends or cycles.
FS Energy Outstanding Bonds
FS Energy issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. FS Energy uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most FSEN bonds can be classified according to their maturity, which is the date when FS Energy and has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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FS Energy Predictive Daily Indicators
FS Energy intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of FS Energy pink sheet daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Daily Balance Of Power | (9,223,372,036,855) | |||
Rate Of Daily Change | 0.98 | |||
Day Median Price | 14.0 | |||
Day Typical Price | 14.0 | |||
Price Action Indicator | (0.16) | |||
Period Momentum Indicator | (0.31) |
FS Energy Forecast Models
FS Energy's time-series forecasting models are one of many FS Energy's pink sheet analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary FS Energy's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.About FSEN Pink Sheet Analysis
Pink Sheet analysis is the technique used by a trader or investor to examine and evaluate how FS Energy prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling FSEN shares will generate the highest return on investment. We also built our pink sheet analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Pink Sheet such as FS Energy. By using and applying FSEN Pink Sheet analysis, traders can create a robust methodology for identifying FSEN entry and exit points for their positions.
FS Energy and Power Fund is business development company specializing in buyouts, debt and, to a lesser extent, equity securities investments. It prefers to invest in private U.S. energy and power companies. FS Energy is traded on OTC Exchange in the United States.
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Other Information on Investing in FSEN Pink Sheet
FS Energy financial ratios help investors to determine whether FSEN Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in FSEN with respect to the benefits of owning FS Energy security.