First Trust Fund Forecast - Double Exponential Smoothing

FPF Fund  USD 18.68  0.03  0.16%   
The Double Exponential Smoothing forecasted value of First Trust Intermediate on the next trading day is expected to be 18.70 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.30. First Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of First Trust's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of First Trust's fund price is roughly 60. This usually indicates that the fund is rather overbought by investors as of 6th of January 2026. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling First, making its price go up or down.

Momentum 60

 Buy Extended

 
Oversold
 
Overbought
The successful prediction of First Trust's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of First Trust and does not consider all of the tangible or intangible factors available from First Trust's fundamental data. We analyze noise-free headlines and recent hype associated with First Trust Intermediate, which may create opportunities for some arbitrage if properly timed.
Using First Trust hype-based prediction, you can estimate the value of First Trust Intermediate from the perspective of First Trust response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of First Trust Intermediate on the next trading day is expected to be 18.70 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.30.

First Trust after-hype prediction price

    
  USD 18.68  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of First Trust to cross-verify your projections.

First Trust Additional Predictive Modules

Most predictive techniques to examine First price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for First using various technical indicators. When you analyze First charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
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 First Trust works best with periods where there are trends or seasonality.

First Trust Double Exponential Smoothing Price Forecast For the 7th of January

Given 90 days horizon, the Double Exponential Smoothing forecasted value of First Trust Intermediate on the next trading day is expected to be 18.70 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.30.
Please note that although there have been many attempts to predict First Fund 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 First Trust's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

First Trust Fund Forecast Pattern

Backtest First TrustFirst Trust Price PredictionBuy or Sell Advice 

First Trust Forecasted Value

In the context of forecasting First Trust's Fund 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. First Trust's downside and upside margins for the forecasting period are 18.31 and 19.09, respectively. We have considered First Trust'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
18.68
18.70
Expected Value
19.09
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 First Trust fund data series using in forecasting. Note that when a statistical model is used to represent First Trust fund, 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 -0.0103
MADMean absolute deviation0.0549
MAPEMean absolute percentage error0.003
SAESum of the absolute errors3.2958
When First Trust Intermediate 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 First Trust Intermediate 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 First Trust observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for First Trust

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First Trust Intermediate. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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
18.2918.6819.07
Details
Intrinsic
Valuation
LowRealHigh
18.2318.6219.01
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.6218.6618.69
Details

Other Forecasting Options for First Trust

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

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

First Trust Intermediate Technical and Predictive Analytics

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

First Trust Market Strength Events

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

First Trust Risk Indicators

The analysis of First Trust'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 First Trust's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting first fund 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.

Currently Active Assets on Macroaxis

Other Information on Investing in First Fund

First Trust financial ratios help investors to determine whether First Fund 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 First with respect to the benefits of owning First Trust security.
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