The Simple Exponential Smoothing forecasted value of Quest PharmaTech on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Quest Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Quest PharmaTech's historical fundamentals, such as revenue growth or operating cash flow patterns.
Quest
Quest PharmaTech simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Quest PharmaTech are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Quest PharmaTech prices get older.
Quest PharmaTech Simple Exponential Smoothing Price Forecast For the 2nd of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Quest PharmaTech on the next trading day is expected to be 0.01 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 Quest 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 Quest PharmaTech's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
In the context of forecasting Quest PharmaTech'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. Quest PharmaTech's downside and upside margins for the forecasting period are 0.01 and 0.01, respectively. We have considered Quest PharmaTech'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.
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Quest PharmaTech pink sheet data series using in forecasting. Note that when a statistical model is used to represent Quest PharmaTech 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.
AIC
Akaike Information Criteria
-9.223372036854776E14
Bias
Arithmetic mean of the errors
None
MAD
Mean absolute deviation
0.0
MAPE
Mean absolute percentage error
0.0
SAE
Sum of the absolute errors
0.0
This simple exponential smoothing model begins by setting Quest PharmaTech forecast for the second period equal to the observation of the first period. In other words, recent Quest PharmaTech observations are given relatively more weight in forecasting than the older observations.
Predictive Modules for Quest PharmaTech
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Quest PharmaTech. 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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Quest PharmaTech. Your research has to be compared to or analyzed against Quest PharmaTech's peers to derive any actionable benefits. When done correctly, Quest PharmaTech's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Quest PharmaTech.
Other Forecasting Options for Quest PharmaTech
For every potential investor in Quest, whether a beginner or expert, Quest PharmaTech's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Quest Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Quest. Basic forecasting techniques help filter out the noise by identifying Quest PharmaTech's price trends.
Quest PharmaTech 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 Quest PharmaTech'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 Quest PharmaTech's current price.
Market strength indicators help investors to evaluate how Quest PharmaTech 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 Quest PharmaTech shares will generate the highest return on investment. By undertsting and applying Quest PharmaTech pink sheet market strength indicators, traders can identify Quest PharmaTech entry and exit signals to maximize returns.
Other Information on Investing in Quest Pink Sheet
Quest PharmaTech financial ratios help investors to determine whether Quest 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 Quest with respect to the benefits of owning Quest PharmaTech security.