FS Credit Stock Forward View - Simple Moving Average
| FSCO Stock | 6.12 0.09 1.49% |
FSCO Stock outlook is based on your current time horizon.
As of today, the value of RSI of FS Credit's share price is approaching 45. This usually indicates that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling FS Credit, making its price go up or down. Momentum 45
Impartial
Oversold | Overbought |
Using FS Credit hype-based prediction, you can estimate the value of FS Credit Opportunities from the perspective of FS Credit response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of FS Credit Opportunities on the next trading day is expected to be 6.08 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.28. FS Credit after-hype prediction price | USD 6.12 |
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.
Check out Historical Fundamental Analysis of FS Credit to cross-verify your projections. FS Credit Additional Predictive Modules
Most predictive techniques to examine FSCO price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for FSCO using various technical indicators. When you analyze FSCO 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 Credit Simple Moving Average Price Forecast For the 30th of January
Given 90 days horizon, the Simple Moving Average forecasted value of FS Credit Opportunities on the next trading day is expected to be 6.08 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.28.Please note that although there have been many attempts to predict FSCO 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 FS Credit's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
FS Credit Stock Forecast Pattern
| Backtest FS Credit | FS Credit Price Prediction | Buy or Sell Advice |
FS Credit Forecasted Value
In the context of forecasting FS Credit'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. FS Credit's downside and upside margins for the forecasting period are 4.69 and 7.46, respectively. We have considered FS Credit'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of FS Credit stock data series using in forecasting. Note that when a statistical model is used to represent FS Credit 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 | 109.7014 |
| Bias | Arithmetic mean of the errors | 0.0039 |
| MAD | Mean absolute deviation | 0.0725 |
| MAPE | Mean absolute percentage error | 0.0118 |
| SAE | Sum of the absolute errors | 4.28 |
Predictive Modules for FS Credit
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 Credit Opportunities. 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 FS Credit'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 Credit After-Hype Price Density Analysis
As far as predicting the price of FS Credit 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 Credit 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 FS Credit, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
FS Credit Estimiated After-Hype Price Volatility
In the context of predicting FS Credit's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on FS Credit's historical news coverage. FS Credit's after-hype downside and upside margins for the prediction period are 4.74 and 7.50, respectively. We have considered FS Credit'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
FS Credit is not too volatile at this time. Analysis and calculation of next after-hype price of FS Credit Opportunities is based on 3 months time horizon.
FS Credit Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as FS Credit is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading FS Credit 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 FS Credit, 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 |
0.06 | 1.38 | 0.00 | 0.01 | 0 Events / Month | 4 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
6.12 | 6.12 | 0.00 |
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FS Credit Hype Timeline
FS Credit Opportunities is currently traded for 6.12. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. FSCO 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 -0.06%. %. The volatility of related hype on FS Credit is about 602.62%, with the expected price after the next announcement by competition of 6.13. About 29.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 0.83. Some equities with similar Price to Book (P/B) outperform the market in the long run. FS Credit Opportunities last dividend was issued on the 23rd of January 2026. Given the investment horizon of 90 days the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of FS Credit to cross-verify your projections.FS Credit Related Hype Analysis
Having access to credible news sources related to FS Credit's direct competition is more important than ever and may enhance your ability to predict FS Credit's future price movements. Getting to know how FS Credit'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 Credit may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GSBD | Goldman Sachs BDC | (0.08) | 12 per month | 0.00 | (0.08) | 1.73 | (1.93) | 4.28 | |
| PSEC | Prospect Capital | 0.00 | 0 per month | 1.61 | 0.04 | 4.67 | (2.76) | 11.08 | |
| MFIC | MidCap Financial Investment | 0.00 | 0 per month | 0.00 | (0.10) | 2.18 | (1.47) | 7.00 | |
| VRTS | Virtus Investment Partners | (0.06) | 9 per month | 1.70 | (0.01) | 2.94 | (2.99) | 8.72 | |
| CET | Central Securities | 1.12 | 18 per month | 0.50 | 0.08 | 1.13 | (1.05) | 3.06 | |
| GAM | General American Investors | 1.12 | 13 per month | 0.36 | 0.07 | 1.04 | (0.83) | 2.57 | |
| CSWC | Capital Southwest | (0.21) | 8 per month | 0.85 | 0.15 | 2.20 | (2.02) | 6.18 | |
| OXLC | Oxford Lane Capital | 0.00 | 0 per month | 1.76 | (0.03) | 2.05 | (2.69) | 9.59 | |
| TRIN | Trinity Capital | 0.40 | 9 per month | 1.09 | 0.17 | 2.45 | (1.55) | 6.36 | |
| KBDC | Kayne Anderson BDC | 0.00 | 0 per month | 1.31 | (0.02) | 2.84 | (2.35) | 6.04 |
Other Forecasting Options for FS Credit
For every potential investor in FSCO, whether a beginner or expert, FS Credit's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. FSCO Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in FSCO. Basic forecasting techniques help filter out the noise by identifying FS Credit's price trends.FS Credit 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 Credit stock to make a market-neutral strategy. Peer analysis of FS Credit could also be used in its relative valuation, which is a method of valuing FS Credit by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FS Credit Market Strength Events
Market strength indicators help investors to evaluate how FS Credit stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading FS Credit shares will generate the highest return on investment. By undertsting and applying FS Credit stock market strength indicators, traders can identify FS Credit Opportunities entry and exit signals to maximize returns.
FS Credit Risk Indicators
The analysis of FS Credit'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 Credit's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fsco 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 | 1.06 | |||
| Standard Deviation | 1.38 | |||
| Variance | 1.92 |
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 Credit
The number of cover stories for FS Credit depends on current market conditions and FS Credit'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 Credit 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 Credit'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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FS Credit Short Properties
FS Credit's future price predictability will typically decrease when FS Credit's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of FS Credit Opportunities often depends not only on the future outlook of the potential FS Credit'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. FS Credit's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 197.5 M | |
| Cash And Short Term Investments | 189.3 M |
Check out Historical Fundamental Analysis of FS Credit to cross-verify your projections. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Will Stock sector continue expanding? Could FSCO diversify its offerings? Factors like these will boost the valuation of FS Credit. Market participants price FSCO higher when confident in its future expansion prospects. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every FS Credit data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Understanding FS Credit Opportunities requires distinguishing between market price and book value, where the latter reflects FSCO's accounting equity. The concept of intrinsic value—what FS Credit'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 FS Credit's price substantially above or below its fundamental value.
Please note, there is a significant difference between FS Credit's value and its price as these two are different measures arrived at by different means. Investors typically determine if FS Credit is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, FS Credit's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.