Consumers Bancorp OTC Stock Forecast - 8 Period Moving Average

CBKM Stock  USD 18.51  0.30  1.59%   
The 8 Period Moving Average forecasted value of Consumers Bancorp on the next trading day is expected to be 18.59 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 11.20. Consumers OTC Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for Consumers Bancorp is based on an artificially constructed time series of Consumers Bancorp daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Consumers Bancorp 8 Period Moving Average Price Forecast For the 29th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Consumers Bancorp on the next trading day is expected to be 18.59 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.07, and the sum of the absolute errors of 11.20.
Please note that although there have been many attempts to predict Consumers 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 Consumers Bancorp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Consumers Bancorp OTC Stock Forecast Pattern

Backtest Consumers BancorpConsumers Bancorp Price PredictionBuy or Sell Advice 

Consumers Bancorp Forecasted Value

In the context of forecasting Consumers Bancorp'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. Consumers Bancorp's downside and upside margins for the forecasting period are 17.58 and 19.61, respectively. We have considered Consumers 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.
Market Value
18.51
18.59
Expected Value
19.61
Upside

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 Consumers Bancorp otc stock data series using in forecasting. Note that when a statistical model is used to represent Consumers Bancorp 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.
AICAkaike Information Criteria100.7813
BiasArithmetic mean of the errors -0.1241
MADMean absolute deviation0.2113
MAPEMean absolute percentage error0.0116
SAESum of the absolute errors11.1988
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Consumers Bancorp 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Consumers 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 Consumers Bancorp. 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.
Hype
Prediction
LowEstimatedHigh
17.5018.5119.52
Details
Intrinsic
Valuation
LowRealHigh
15.4016.4120.36
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.4018.6418.89
Details

Other Forecasting Options for Consumers Bancorp

For every potential investor in Consumers, whether a beginner or expert, Consumers Bancorp's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Consumers OTC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Consumers. Basic forecasting techniques help filter out the noise by identifying Consumers Bancorp's price trends.

View Consumers Bancorp Related Equities

 Risk & Return  Correlation

Consumers Bancorp 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 Consumers 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 Consumers Bancorp's current price.

Consumers Bancorp Market Strength Events

Market strength indicators help investors to evaluate how Consumers Bancorp 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 Consumers Bancorp shares will generate the highest return on investment. By undertsting and applying Consumers Bancorp otc stock market strength indicators, traders can identify Consumers Bancorp entry and exit signals to maximize returns.

Consumers Bancorp Risk Indicators

The analysis of Consumers 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 Consumers Bancorp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting consumers 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.
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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in Consumers OTC Stock

Consumers Bancorp financial ratios help investors to determine whether Consumers 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 Consumers with respect to the benefits of owning Consumers Bancorp security.