First Trust/confluence Mutual Fund Forecast - Simple Exponential Smoothing

FOVCX Fund  USD 18.18  0.06  0.33%   
The Simple Exponential Smoothing forecasted value of First Trustconfluence Small on the next trading day is expected to be 18.18 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.78. First Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of First Trust/confluence's share price is below 20 . This usually indicates that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of First Trust/confluence's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with First Trustconfluence Small, which may create opportunities for some arbitrage if properly timed.
Using First Trust/confluence hype-based prediction, you can estimate the value of First Trustconfluence Small from the perspective of First Trust/confluence response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of First Trustconfluence Small on the next trading day is expected to be 18.18 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.78.

First Trust/confluence after-hype prediction price

    
  USD 12.57  
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/confluence to cross-verify your projections.

First Trust/confluence 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.
First Trust/confluence simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for First Trustconfluence Small are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as First Trust/confluence prices get older.

First Trust/confluence Simple Exponential Smoothing Price Forecast For the 24th of January

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of First Trustconfluence Small on the next trading day is expected to be 18.18 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.26, and the sum of the absolute errors of 10.78.
Please note that although there have been many attempts to predict First Mutual 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/confluence's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

First Trust/confluence Mutual Fund Forecast Pattern

Backtest First Trust/confluenceFirst Trust/confluence Price PredictionBuy or Sell Advice 

First Trust/confluence Forecasted Value

In the context of forecasting First Trust/confluence's Mutual 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/confluence's downside and upside margins for the forecasting period are 14.44 and 21.92, respectively. We have considered First Trust/confluence'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
18.18
18.18
Expected Value
21.92
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of First Trust/confluence mutual fund data series using in forecasting. Note that when a statistical model is used to represent First Trust/confluence mutual 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 Criteria116.7785
BiasArithmetic mean of the errors -0.0774
MADMean absolute deviation0.1767
MAPEMean absolute percentage error0.0112
SAESum of the absolute errors10.78
This simple exponential smoothing model begins by setting First Trustconfluence Small forecast for the second period equal to the observation of the first period. In other words, recent First Trust/confluence observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for First Trust/confluence

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/confluence. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of First Trust/confluence'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
8.8312.5720.00
Details
Intrinsic
Valuation
LowRealHigh
12.1715.9119.65
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.6515.9420.23
Details

First Trust/confluence After-Hype Price Prediction Density Analysis

As far as predicting the price of First Trust/confluence at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in First Trust/confluence or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Mutual Fund prices, such as prices of First Trust/confluence, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

First Trust/confluence Estimiated After-Hype Price Volatility

In the context of predicting First Trust/confluence's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on First Trust/confluence's historical news coverage. First Trust/confluence's after-hype downside and upside margins for the prediction period are 8.83 and 20.00, respectively. We have considered First Trust/confluence's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
18.18
12.57
After-hype Price
20.00
Upside
First Trust/confluence is not too volatile at this time. Analysis and calculation of next after-hype price of First Trust/confluence is based on 3 months time horizon.

First Trust/confluence Mutual Fund Price Prediction Analysis

Have you ever been surprised when a price of a Mutual Fund such as First Trust/confluence is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading First Trust/confluence backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with First Trust/confluence, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.56 
3.74
  5.61 
  0.01 
1 Events / Month
0 Events / Month
Very soon
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
18.18
12.57
30.86 
37.36  
Notes

First Trust/confluence Hype Timeline

First Trust/confluence is currently traded for 18.18. The entity has historical hype elasticity of -5.61, and average elasticity to hype of competition of -0.01. First is forecasted to decline in value after the next headline, with the price expected to drop to 12.57. The average volatility of media hype impact on the company price is about 37.36%. The price reduction on the next news is expected to be -30.86%, whereas the daily expected return is currently at 0.56%. The volatility of related hype on First Trust/confluence is about 17261.54%, with the expected price after the next announcement by competition of 18.17. The company last dividend was issued on the 21st of December 1970. Assuming the 90 days horizon the next forecasted press release will be very soon.
Check out Historical Fundamental Analysis of First Trust/confluence to cross-verify your projections.

First Trust/confluence Related Hype Analysis

Having access to credible news sources related to First Trust/confluence's direct competition is more important than ever and may enhance your ability to predict First Trust/confluence's future price movements. Getting to know how First Trust/confluence's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how First Trust/confluence may potentially react to the hype associated with one of its peers.

Other Forecasting Options for First Trust/confluence

For every potential investor in First, whether a beginner or expert, First Trust/confluence's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. First Mutual 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/confluence's price trends.

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

First Trust/confluence Market Strength Events

Market strength indicators help investors to evaluate how First Trust/confluence mutual 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/confluence shares will generate the highest return on investment. By undertsting and applying First Trust/confluence mutual fund market strength indicators, traders can identify First Trustconfluence Small entry and exit signals to maximize returns.

First Trust/confluence Risk Indicators

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

Story Coverage note for First Trust/confluence

The number of cover stories for First Trust/confluence depends on current market conditions and First Trust/confluence's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that First Trust/confluence is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about First Trust/confluence's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

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Other Information on Investing in First Mutual Fund

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