Farmers OTC Stock Forecast - Triple Exponential Smoothing

FMBL Stock  USD 5,800  114.99  2.02%   
The Triple Exponential Smoothing forecasted value of Farmers And Merchants on the next trading day is expected to be 5,811 with a mean absolute deviation of 32.64 and the sum of the absolute errors of 1,926. Farmers OTC Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for Farmers - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Farmers 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 trend in Farmers price movement. However, neither of these exponential smoothing models address any seasonality of Farmers And Merchants.

Farmers Triple Exponential Smoothing Price Forecast For the 12th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Farmers And Merchants on the next trading day is expected to be 5,811 with a mean absolute deviation of 32.64, mean absolute percentage error of 1,942, and the sum of the absolute errors of 1,926.
Please note that although there have been many attempts to predict Farmers 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 Farmers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Farmers OTC Stock Forecast Pattern

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Farmers Forecasted Value

In the context of forecasting Farmers' 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. Farmers' downside and upside margins for the forecasting period are 5,811 and 5,812, respectively. We have considered Farmers' 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
5,800
5,811
Expected Value
5,812
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Farmers otc stock data series using in forecasting. Note that when a statistical model is used to represent Farmers 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 -7.1993
MADMean absolute deviation32.6418
MAPEMean absolute percentage error0.006
SAESum of the absolute errors1925.8664
As with simple exponential smoothing, in triple exponential smoothing models past Farmers observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Farmers And Merchants observations.

Predictive Modules for Farmers

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Farmers And Merchants. 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.
Hype
Prediction
LowEstimatedHigh
5,7995,8005,801
Details
Intrinsic
Valuation
LowRealHigh
5,2206,6096,609
Details
Bollinger
Band Projection (param)
LowMiddleHigh
5,4235,6355,847
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Farmers. Your research has to be compared to or analyzed against Farmers' peers to derive any actionable benefits. When done correctly, Farmers' 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 Farmers And Merchants.

Other Forecasting Options for Farmers

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

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

Farmers And Merchants 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 Farmers' 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 Farmers' current price.

Farmers Market Strength Events

Market strength indicators help investors to evaluate how Farmers 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 Farmers shares will generate the highest return on investment. By undertsting and applying Farmers otc stock market strength indicators, traders can identify Farmers And Merchants entry and exit signals to maximize returns.

Farmers Risk Indicators

The analysis of Farmers' 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 Farmers' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting farmers 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 Farmers OTC Stock

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