Fentura Financial OTC Stock Forecast - Double Exponential Smoothing

FETM Stock  USD 46.00  0.41  0.90%   
The Double Exponential Smoothing forecasted value of Fentura Financial on the next trading day is expected to be 46.04 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 21.40. Fentura OTC Stock Forecast is based on your current time horizon.
  
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 Fentura Financial works best with periods where there are trends or seasonality.

Fentura Financial Double Exponential Smoothing Price Forecast For the 5th of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Fentura Financial on the next trading day is expected to be 46.04 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.53, and the sum of the absolute errors of 21.40.
Please note that although there have been many attempts to predict Fentura OTC Stock 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 Fentura Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fentura Financial OTC Stock Forecast Pattern

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Fentura Financial Forecasted Value

In the context of forecasting Fentura Financial's OTC Stock 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. Fentura Financial's downside and upside margins for the forecasting period are 44.27 and 47.81, respectively. We have considered Fentura Financial'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
46.00
46.04
Expected Value
47.81
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 Fentura Financial otc stock data series using in forecasting. Note that when a statistical model is used to represent Fentura Financial otc stock, 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 -0.0847
MADMean absolute deviation0.3627
MAPEMean absolute percentage error0.0088
SAESum of the absolute errors21.4
When Fentura Financial 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 Fentura Financial 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 Fentura Financial observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Fentura Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fentura Financial. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock 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 Fentura Financial'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
44.2346.0047.77
Details
Intrinsic
Valuation
LowRealHigh
41.4051.6753.44
Details
Bollinger
Band Projection (param)
LowMiddleHigh
44.3944.9345.48
Details

Other Forecasting Options for Fentura Financial

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

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

Fentura Financial Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Fentura Financial'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 Fentura Financial's current price.

Fentura Financial Market Strength Events

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

Fentura Financial Risk Indicators

The analysis of Fentura Financial'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 Fentura Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fentura otc stock 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 Fentura OTC Stock

Fentura Financial financial ratios help investors to determine whether Fentura OTC Stock 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 Fentura with respect to the benefits of owning Fentura Financial security.