Isabella Bank OTC Stock Forecast - Simple Moving Average
| ISBA Stock | USD 24.84 0.05 0.20% |
The Simple Moving Average forecasted value of Isabella Bank on the next trading day is expected to be 24.84 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 14.81. Isabella OTC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Isabella Bank stock prices and determine the direction of Isabella Bank's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Isabella Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
Isabella |
Isabella Bank Simple Moving Average Price Forecast For the 25th of November
Given 90 days horizon, the Simple Moving Average forecasted value of Isabella Bank on the next trading day is expected to be 24.84 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.15, and the sum of the absolute errors of 14.81.Please note that although there have been many attempts to predict Isabella OTC 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 Isabella Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Isabella Bank OTC Stock Forecast Pattern
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Isabella Bank Forecasted Value
In the context of forecasting Isabella Bank's OTC 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. Isabella Bank's downside and upside margins for the forecasting period are 23.42 and 26.26, respectively. We have considered Isabella Bank'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 Isabella Bank otc stock data series using in forecasting. Note that when a statistical model is used to represent Isabella Bank otc 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 | 112.5263 |
| Bias | Arithmetic mean of the errors | -0.1488 |
| MAD | Mean absolute deviation | 0.251 |
| MAPE | Mean absolute percentage error | 0.0115 |
| SAE | Sum of the absolute errors | 14.81 |
Predictive Modules for Isabella Bank
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Isabella Bank. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.Other Forecasting Options for Isabella Bank
For every potential investor in Isabella, whether a beginner or expert, Isabella Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Isabella OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Isabella. Basic forecasting techniques help filter out the noise by identifying Isabella Bank's price trends.View Isabella Bank Related Equities
| Risk & Return | Correlation |
Isabella Bank Technical and Predictive Analytics
The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Isabella Bank'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 Isabella Bank's current price.| Cycle Indicators | ||
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Isabella Bank Market Strength Events
Market strength indicators help investors to evaluate how Isabella Bank otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Isabella Bank shares will generate the highest return on investment. By undertsting and applying Isabella Bank otc stock market strength indicators, traders can identify Isabella Bank entry and exit signals to maximize returns.
Isabella Bank Risk Indicators
The analysis of Isabella Bank'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 Isabella Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting isabella otc 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 | 0.9329 | |||
| Semi Deviation | 0.5572 | |||
| Standard Deviation | 1.41 | |||
| Variance | 1.99 | |||
| Downside Variance | 2.5 | |||
| Semi Variance | 0.3104 | |||
| Expected Short fall | (1.35) |
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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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Isabella OTC Stock
Isabella Bank financial ratios help investors to determine whether Isabella OTC Stock 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 Isabella with respect to the benefits of owning Isabella Bank security.