AFC Gamma Stock Forecast - 8 Period Moving Average
| AFCG Stock | USD 9.62 0.05 0.52% |
The 8 Period Moving Average forecasted value of AFC Gamma on the next trading day is expected to be 9.57 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 12.52. AFC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of AFC Gamma's historical fundamentals, such as revenue growth or operating cash flow patterns.
AFC |
AFC Gamma 8 Period Moving Average Price Forecast For the 27th of November
Given 90 days horizon, the 8 Period Moving Average forecasted value of AFC Gamma on the next trading day is expected to be 9.57 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.07, and the sum of the absolute errors of 12.52.Please note that although there have been many attempts to predict AFC 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 AFC Gamma's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
AFC Gamma Stock Forecast Pattern
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AFC Gamma Forecasted Value
In the context of forecasting AFC Gamma'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. AFC Gamma's downside and upside margins for the forecasting period are 8.07 and 11.08, respectively. We have considered AFC Gamma'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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of AFC Gamma stock data series using in forecasting. Note that when a statistical model is used to represent AFC Gamma 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 | 102.6058 |
| Bias | Arithmetic mean of the errors | 0.0195 |
| MAD | Mean absolute deviation | 0.2318 |
| MAPE | Mean absolute percentage error | 0.0234 |
| SAE | Sum of the absolute errors | 12.5175 |
Predictive Modules for AFC Gamma
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AFC Gamma. 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 AFC Gamma'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 AFC Gamma
For every potential investor in AFC, whether a beginner or expert, AFC Gamma's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AFC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AFC. Basic forecasting techniques help filter out the noise by identifying AFC Gamma's price trends.AFC Gamma 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 AFC Gamma stock to make a market-neutral strategy. Peer analysis of AFC Gamma could also be used in its relative valuation, which is a method of valuing AFC Gamma by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AFC Gamma 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 AFC Gamma'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 AFC Gamma's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
AFC Gamma Market Strength Events
Market strength indicators help investors to evaluate how AFC Gamma stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AFC Gamma shares will generate the highest return on investment. By undertsting and applying AFC Gamma stock market strength indicators, traders can identify AFC Gamma entry and exit signals to maximize returns.
| Accumulation Distribution | 3950.1 | |||
| Daily Balance Of Power | (0.26) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 9.72 | |||
| Day Typical Price | 9.68 | |||
| Price Action Indicator | (0.12) | |||
| Period Momentum Indicator | (0.05) |
AFC Gamma Risk Indicators
The analysis of AFC Gamma'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 AFC Gamma's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting afc 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 | 1.1 | |||
| Semi Deviation | 1.24 | |||
| Standard Deviation | 1.49 | |||
| Variance | 2.22 | |||
| Downside Variance | 1.72 | |||
| Semi Variance | 1.53 | |||
| Expected Short fall | (1.36) |
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.
Currently Active Assets on Macroaxis
When determining whether AFC Gamma is a strong investment it is important to analyze AFC Gamma's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact AFC Gamma's future performance. For an informed investment choice regarding AFC Stock, refer to the following important reports:Check out Historical Fundamental Analysis of AFC Gamma to cross-verify your projections. For more detail on how to invest in AFC Stock please use our How to Invest in AFC Gamma guide.You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Is Mortgage Real Estate Investment Trusts (REITs) space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of AFC Gamma. If investors know AFC will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about AFC Gamma listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.85) | Dividend Share 0.48 | Earnings Share 0.26 | Revenue Per Share 2.11 | Quarterly Revenue Growth (0.39) |
The market value of AFC Gamma is measured differently than its book value, which is the value of AFC that is recorded on the company's balance sheet. Investors also form their own opinion of AFC Gamma's value that differs from its market value or its book value, called intrinsic value, which is AFC Gamma's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because AFC Gamma's market value can be influenced by many factors that don't directly affect AFC Gamma's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between AFC Gamma's value and its price as these two are different measures arrived at by different means. Investors typically determine if AFC Gamma is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AFC Gamma's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.