FS Bancorp Pink Sheet Forecast - 4 Period Moving Average
| FXLG Stock | USD 31.50 0.51 1.65% |
The 4 Period Moving Average forecasted value of FS Bancorp on the next trading day is expected to be 31.50 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.38. FXLG Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of FS Bancorp's historical fundamentals, such as revenue growth or operating cash flow patterns.
FXLG |
FS Bancorp 4 Period Moving Average Price Forecast For the 24th of November
Given 90 days horizon, the 4 Period Moving Average forecasted value of FS Bancorp on the next trading day is expected to be 31.50 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.02, and the sum of the absolute errors of 4.38.Please note that although there have been many attempts to predict FXLG Pink Sheet 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 Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
FS Bancorp Pink Sheet Forecast Pattern
| Backtest FS Bancorp | FS Bancorp Price Prediction | Buy or Sell Advice |
FS Bancorp Forecasted Value
In the context of forecasting FS Bancorp's Pink Sheet 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 Bancorp's downside and upside margins for the forecasting period are 30.98 and 32.02, respectively. We have considered FS Bancorp'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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of FS Bancorp pink sheet data series using in forecasting. Note that when a statistical model is used to represent FS Bancorp 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 | 106.9251 |
| Bias | Arithmetic mean of the errors | -0.0645 |
| MAD | Mean absolute deviation | 0.0768 |
| MAPE | Mean absolute percentage error | 0.0025 |
| SAE | Sum of the absolute errors | 4.38 |
Predictive Modules for FS Bancorp
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 Bancorp. 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.Other Forecasting Options for FS Bancorp
For every potential investor in FXLG, whether a beginner or expert, FS Bancorp's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. FXLG Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in FXLG. Basic forecasting techniques help filter out the noise by identifying FS Bancorp's price trends.FS Bancorp 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 Bancorp pink sheet to make a market-neutral strategy. Peer analysis of FS Bancorp could also be used in its relative valuation, which is a method of valuing FS Bancorp by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FS Bancorp Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of FS Bancorp'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 FS Bancorp's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
FS Bancorp Market Strength Events
Market strength indicators help investors to evaluate how FS Bancorp 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 Bancorp shares will generate the highest return on investment. By undertsting and applying FS Bancorp pink sheet market strength indicators, traders can identify FS Bancorp entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 31.5 | |||
| Day Typical Price | 31.5 | |||
| Price Action Indicator | 0.26 | |||
| Period Momentum Indicator | 0.51 | |||
| Relative Strength Index | 99.81 |
FS Bancorp Risk Indicators
The analysis of FS Bancorp'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 Bancorp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fxlg 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 | 0.2569 | |||
| Semi Deviation | 0.1195 | |||
| Standard Deviation | 0.5118 | |||
| Variance | 0.262 | |||
| Downside Variance | 0.9877 | |||
| Semi Variance | 0.0143 | |||
| Expected Short fall | (1.12) |
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
Additional Information and Resources on Investing in FXLG Pink Sheet
When determining whether FS Bancorp is a strong investment it is important to analyze FS Bancorp'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 FS Bancorp's future performance. For an informed investment choice regarding FXLG Pink Sheet, refer to the following important reports:Check out Historical Fundamental Analysis of FS Bancorp to cross-verify your projections. For more detail on how to invest in FXLG Pink Sheet please use our How to Invest in FS Bancorp guide.You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.