Fact Pink Sheet Forecast - Double Exponential Smoothing

FCTI Stock  USD 0.0001  0.00  0.00%   
The Double Exponential Smoothing forecasted value of Fact Inc on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Fact Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Fact's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Fact works best with periods where there are trends or seasonality.

Fact Double Exponential Smoothing Price Forecast For the 26th of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Fact Inc on the next trading day is expected to be 0.0001 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 Fact 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 Fact's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fact Pink Sheet Forecast Pattern

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Fact Forecasted Value

In the context of forecasting Fact'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. Fact's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered Fact'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
0.0001
0.0001
Downside
0.0001
Expected Value
0.0001
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Fact pink sheet data series using in forecasting. Note that when a statistical model is used to represent Fact 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 CriteriaHuge
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
When Fact Inc prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Fact Inc trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Fact observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Fact

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fact Inc. 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 Fact'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
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000840.00
Details

Other Forecasting Options for Fact

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

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

Fact Inc 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 Fact'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 Fact's current price.

Fact Market Strength Events

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

Currently Active Assets on Macroaxis

Other Information on Investing in Fact Pink Sheet

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