First Farmers Pink Sheet Forecast - Polynomial Regression

First Farmers polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for First Farmers and as well as the accuracy indicators are determined from the period prices.

First Farmers Polynomial Regression Price Forecast For the 27th of December

Given 90 days horizon, the Polynomial Regression forecasted value of First Farmers and on the next trading day is expected to be 48.63 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.18, and the sum of the absolute errors of 20.99.

First Farmers Pink Sheet Forecast Pattern

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First Farmers Price Prediction

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First Farmers Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of First Farmers pink sheet data series using in forecasting. Note that when a statistical model is used to represent First Farmers 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. A single variable polynomial regression model attempts to put a curve through the First Farmers historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a₀ + a₁*X + a₂*X² + a₃*X³ + ... + a_m*X^m

Predictive Modules for First Farmers

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 Farmers. 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 48.42 49.00 49.58 Details

Intrinsic Valuation Low Real High 47.02 47.60 53.90 Details

Bollinger Band Projection (param) Low Middle High 42.70 46.50 50.30 Details

Other Forecasting Options for First Farmers

For every potential investor in First, whether a beginner or expert, First Farmers' 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 Farmers' price trends.

First Farmers Related Equities

Risk & Return

Correlation

First Farmers 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 Farmers' 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 Farmers' current price.

First Farmers Market Strength Events

First Farmers Risk Indicators

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