Alpine Banks OTC Stock Forecast - Simple Regression
| ALPIB Stock | USD 33.00 0.02 0.06% |
The Simple Regression forecasted value of Alpine Banks of on the next trading day is expected to be 32.01 with a mean absolute deviation of 0.74 and the sum of the absolute errors of 45.30. Alpine OTC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Alpine Banks stock prices and determine the direction of Alpine Banks of's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Alpine Banks' historical fundamentals, such as revenue growth or operating cash flow patterns.
Alpine |
Alpine Banks Simple Regression Price Forecast For the 29th of November
Given 90 days horizon, the Simple Regression forecasted value of Alpine Banks of on the next trading day is expected to be 32.01 with a mean absolute deviation of 0.74, mean absolute percentage error of 0.77, and the sum of the absolute errors of 45.30.Please note that although there have been many attempts to predict Alpine 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 Alpine Banks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Alpine Banks OTC Stock Forecast Pattern
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Alpine Banks Forecasted Value
In the context of forecasting Alpine Banks' 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. Alpine Banks' downside and upside margins for the forecasting period are 30.88 and 33.14, respectively. We have considered Alpine Banks' 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 Regression forecasting method's relative quality and the estimations of the prediction error of Alpine Banks otc stock data series using in forecasting. Note that when a statistical model is used to represent Alpine Banks 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 | 117.8516 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.7426 |
| MAPE | Mean absolute percentage error | 0.0246 |
| SAE | Sum of the absolute errors | 45.297 |
Predictive Modules for Alpine Banks
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alpine Banks. 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 Alpine Banks
For every potential investor in Alpine, whether a beginner or expert, Alpine Banks' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Alpine OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Alpine. Basic forecasting techniques help filter out the noise by identifying Alpine Banks' price trends.Alpine Banks 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 Alpine Banks otc stock to make a market-neutral strategy. Peer analysis of Alpine Banks could also be used in its relative valuation, which is a method of valuing Alpine Banks by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Alpine Banks 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 Alpine Banks' 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 Alpine Banks' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Alpine Banks Market Strength Events
Market strength indicators help investors to evaluate how Alpine Banks 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 Alpine Banks shares will generate the highest return on investment. By undertsting and applying Alpine Banks otc stock market strength indicators, traders can identify Alpine Banks of entry and exit signals to maximize returns.
Alpine Banks Risk Indicators
The analysis of Alpine Banks' 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 Alpine Banks' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alpine 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 | 0.5819 | |||
| Semi Deviation | 0.7937 | |||
| Standard Deviation | 1.1 | |||
| Variance | 1.22 | |||
| Downside Variance | 3.39 | |||
| Semi Variance | 0.6299 | |||
| Expected Short fall | (0.90) |
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.
Also Currently Popular
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 Alpine OTC Stock
Alpine Banks financial ratios help investors to determine whether Alpine 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 Alpine with respect to the benefits of owning Alpine Banks security.