FFW Pink Sheet Forecast - Polynomial Regression

FFWC Stock  USD 40.00  0.00  0.00%   
The Polynomial Regression forecasted value of FFW Corporation on the next trading day is expected to be 39.29 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.49. FFW Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast FFW stock prices and determine the direction of FFW Corporation's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of FFW's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
FFW polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for FFW Corporation as well as the accuracy indicators are determined from the period prices.

FFW Polynomial Regression Price Forecast For the 25th of November

Given 90 days horizon, the Polynomial Regression forecasted value of FFW Corporation on the next trading day is expected to be 39.29 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.13, and the sum of the absolute errors of 17.49.
Please note that although there have been many attempts to predict FFW 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 FFW's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

FFW Pink Sheet Forecast Pattern

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FFW Forecasted Value

In the context of forecasting FFW's 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. FFW's downside and upside margins for the forecasting period are 38.49 and 40.08, respectively. We have considered FFW'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
40.00
39.29
Expected Value
40.08
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 FFW pink sheet data series using in forecasting. Note that when a statistical model is used to represent FFW 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 Criteria116.0614
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2868
MAPEMean absolute percentage error0.0076
SAESum of the absolute errors17.4932
A single variable polynomial regression model attempts to put a curve through the FFW 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 FFW

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FFW Corporation. 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 FFW's 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
39.2040.0040.80
Details
Intrinsic
Valuation
LowRealHigh
37.6738.4744.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
40.0040.0040.00
Details

Other Forecasting Options for FFW

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

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 Risk & Return  Correlation

FFW Corporation 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 FFW'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 FFW's current price.

FFW Market Strength Events

Market strength indicators help investors to evaluate how FFW 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 FFW shares will generate the highest return on investment. By undertsting and applying FFW pink sheet market strength indicators, traders can identify FFW Corporation entry and exit signals to maximize returns.

FFW Risk Indicators

The analysis of FFW'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 FFW's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ffw pink sheet 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.

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Other Information on Investing in FFW Pink Sheet

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