Security Bancorp Pink Sheet Forecast - Naive Prediction
| SCYT Stock | USD 95.02 1.02 1.09% |
The Naive Prediction forecasted value of Security Bancorp on the next trading day is expected to be 96.76 with a mean absolute deviation of 0.85 and the sum of the absolute errors of 51.85. Security Pink Sheet Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Security Bancorp's share price is below 20 . This usually implies that the pink sheet is significantly oversold. 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 0
Sell Peaked
Oversold | Overbought |
Using Security Bancorp hype-based prediction, you can estimate the value of Security Bancorp from the perspective of Security Bancorp response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Security Bancorp on the next trading day is expected to be 96.76 with a mean absolute deviation of 0.85 and the sum of the absolute errors of 51.85. Security Bancorp after-hype prediction price | USD 95.02 |
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.
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Security Bancorp Additional Predictive Modules
Most predictive techniques to examine Security price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Security using various technical indicators. When you analyze Security 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 |
Security Bancorp Naive Prediction Price Forecast For the 19th of January
Given 90 days horizon, the Naive Prediction forecasted value of Security Bancorp on the next trading day is expected to be 96.76 with a mean absolute deviation of 0.85, mean absolute percentage error of 1.74, and the sum of the absolute errors of 51.85.Please note that although there have been many attempts to predict Security 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 Security Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Security Bancorp Pink Sheet Forecast Pattern
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Security Bancorp Forecasted Value
In the context of forecasting Security 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. Security Bancorp's downside and upside margins for the forecasting period are 95.43 and 98.09, respectively. We have considered Security 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Security Bancorp pink sheet data series using in forecasting. Note that when a statistical model is used to represent Security 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 | 118.6672 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.85 |
| MAPE | Mean absolute percentage error | 0.0098 |
| SAE | Sum of the absolute errors | 51.849 |
Predictive Modules for Security 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 Security 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Security Bancorp'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 Security Bancorp
For every potential investor in Security, whether a beginner or expert, Security Bancorp's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Security Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Security. Basic forecasting techniques help filter out the noise by identifying Security Bancorp's price trends.Security 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 Security Bancorp pink sheet to make a market-neutral strategy. Peer analysis of Security Bancorp could also be used in its relative valuation, which is a method of valuing Security Bancorp by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Security 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 Security 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 Security Bancorp's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Security Bancorp Market Strength Events
Market strength indicators help investors to evaluate how Security 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 Security Bancorp shares will generate the highest return on investment. By undertsting and applying Security Bancorp pink sheet market strength indicators, traders can identify Security Bancorp entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 95.02 | |||
| Day Typical Price | 95.02 | |||
| Price Action Indicator | 0.51 | |||
| Period Momentum Indicator | 1.02 |
Security Bancorp Risk Indicators
The analysis of Security 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 Security Bancorp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting security 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 | 0.5302 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.94 |
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.
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Additional Tools for Security Pink Sheet Analysis
When running Security Bancorp's price analysis, check to measure Security Bancorp's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Security Bancorp is operating at the current time. Most of Security Bancorp's value examination focuses on studying past and present price action to predict the probability of Security Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Security Bancorp's price. Additionally, you may evaluate how the addition of Security Bancorp to your portfolios can decrease your overall portfolio volatility.