Fluor Stock Forecast - Triple Exponential Smoothing

FLR Stock  MXN 985.27  0.00  0.00%   
The Triple Exponential Smoothing forecasted value of Fluor on the next trading day is expected to be 985.27 with a mean absolute deviation of 3.07 and the sum of the absolute errors of 181.27. Fluor Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for Fluor - 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 Fluor 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 Fluor price movement. However, neither of these exponential smoothing models address any seasonality of Fluor.

Fluor Triple Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Fluor on the next trading day is expected to be 985.27 with a mean absolute deviation of 3.07, mean absolute percentage error of 285.72, and the sum of the absolute errors of 181.27.
Please note that although there have been many attempts to predict Fluor 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 Fluor's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fluor Stock Forecast Pattern

Backtest FluorFluor Price PredictionBuy or Sell Advice 

Fluor Forecasted Value

In the context of forecasting Fluor's 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. Fluor's downside and upside margins for the forecasting period are 983.43 and 987.11, respectively. We have considered Fluor'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
985.27
983.43
Downside
985.27
Expected Value
987.11
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 Fluor stock data series using in forecasting. Note that when a statistical model is used to represent Fluor 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 -0.4961
MADMean absolute deviation3.0724
MAPEMean absolute percentage error0.0033
SAESum of the absolute errors181.27
As with simple exponential smoothing, in triple exponential smoothing models past Fluor 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 Fluor observations.

Predictive Modules for Fluor

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fluor. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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
983.43985.27987.11
Details
Intrinsic
Valuation
LowRealHigh
886.741,1321,133
Details
Bollinger
Band Projection (param)
LowMiddleHigh
985.27985.27985.27
Details

Other Forecasting Options for Fluor

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

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

Fluor Technical and Predictive Analytics

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

Fluor Market Strength Events

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

Fluor Risk Indicators

The analysis of Fluor'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 Fluor's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fluor 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Fluor Stock Analysis

When running Fluor's price analysis, check to measure Fluor's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fluor is operating at the current time. Most of Fluor's value examination focuses on studying past and present price action to predict the probability of Fluor's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fluor's price. Additionally, you may evaluate how the addition of Fluor to your portfolios can decrease your overall portfolio volatility.