First Physicians Pink Sheet Forecast - Polynomial Regression

FPCG Stock  USD 1,025  0.00  0.00%   
The Polynomial Regression forecasted value of First Physicians Capital on the next trading day is expected to be 1,025 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. First Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of First Physicians' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
First Physicians polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for First Physicians Capital as well as the accuracy indicators are determined from the period prices.

First Physicians Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of First Physicians Capital on the next trading day is expected to be 1,025 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict First Pink Sheet 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 First Physicians' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

First Physicians Pink Sheet Forecast Pattern

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First Physicians Forecasted Value

In the context of forecasting First Physicians' Pink Sheet 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. First Physicians' downside and upside margins for the forecasting period are 1,025 and 1,025, respectively. We have considered First Physicians' 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
1,025
1,025
Expected Value
1,025
Upside

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 Physicians pink sheet data series using in forecasting. Note that when a statistical model is used to represent First Physicians 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.
AICAkaike Information Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the First Physicians 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 + ... + am*Xm

Predictive Modules for First Physicians

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 Physicians Capital. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of First Physicians' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
1,0251,0251,025
Details
Intrinsic
Valuation
LowRealHigh
1,0251,0251,025
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,0251,0251,025
Details

Other Forecasting Options for First Physicians

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

First Physicians 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 First Physicians pink sheet to make a market-neutral strategy. Peer analysis of First Physicians could also be used in its relative valuation, which is a method of valuing First Physicians by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

First Physicians Capital 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 Physicians' 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 Physicians' current price.

First Physicians Market Strength Events

Market strength indicators help investors to evaluate how First Physicians pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading First Physicians shares will generate the highest return on investment. By undertsting and applying First Physicians pink sheet market strength indicators, traders can identify First Physicians Capital entry and exit signals to maximize returns.

Currently Active Assets on Macroaxis

Other Information on Investing in First Pink Sheet

First Physicians financial ratios help investors to determine whether First Pink Sheet 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 First with respect to the benefits of owning First Physicians security.