First National Pink Sheet Forecast - 20 Period Moving Average

A commonly used 20-period moving average forecast model for First National of is based on a synthetically constructed First Nationaldaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

First National 20 Period Moving Average Price Forecast For the 11th of November 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of First National of on the next trading day is expected to be 12,144 with a mean absolute deviation of 182.73, mean absolute percentage error of 52,040, and the sum of the absolute errors of 7,492.

First National Pink Sheet Forecast Pattern

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First National Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of First National pink sheet data series using in forecasting. Note that when a statistical model is used to represent First National 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. 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. First National 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for First National

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First National. 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.

Hype Prediction Low Estimated High 12,399 12,400 12,401 Details

Intrinsic Valuation Low Real High 10,240 10,242 13,640 Details

Bollinger Band Projection (param) Low Middle High 11,705 12,138 12,571 Details

Other Forecasting Options for First National

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

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Correlation

First National 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 First National'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 First National's current price.

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Pair Trading with First National

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if First National position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in First National will appreciate offsetting losses from the drop in the long position's value.

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