Precious Metals Mutual Fund Forecast - Double Exponential Smoothing

UIPMX Fund  USD 60.11  1.31  2.23%   
Precious Mutual Fund outlook is based on your current time horizon.
The relative strength index (RSI) of Precious Metals' share price is above 70 at this time. This usually implies that the mutual fund is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Precious, making its price go up or down.

Momentum 76

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Precious Metals' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Precious Metals And, which may create opportunities for some arbitrage if properly timed.
Using Precious Metals hype-based prediction, you can estimate the value of Precious Metals And from the perspective of Precious Metals response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Precious Metals And on the next trading day is expected to be 60.25 with a mean absolute deviation of 0.77 and the sum of the absolute errors of 45.24.

Precious Metals after-hype prediction price

    
  USD 60.11  
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 Precious Metals to cross-verify your projections.

Precious Metals Additional Predictive Modules

Most predictive techniques to examine Precious price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Precious using various technical indicators. When you analyze Precious 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 Precious Metals works best with periods where there are trends or seasonality.

Precious Metals Double Exponential Smoothing Price Forecast For the 27th of January

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Precious Metals And on the next trading day is expected to be 60.25 with a mean absolute deviation of 0.77, mean absolute percentage error of 1.09, and the sum of the absolute errors of 45.24.
Please note that although there have been many attempts to predict Precious 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 Precious Metals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Precious Metals Mutual Fund Forecast Pattern

Backtest Precious Metals  Precious Metals Price Prediction  Buy or Sell Advice  

Precious Metals Forecasted Value

In the context of forecasting Precious Metals' 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. Precious Metals' downside and upside margins for the forecasting period are 58.10 and 62.40, respectively. We have considered Precious Metals' 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
60.11
60.25
Expected Value
62.40
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 Precious Metals mutual fund data series using in forecasting. Note that when a statistical model is used to represent Precious Metals 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 CriteriaHuge
BiasArithmetic mean of the errors -0.1925
MADMean absolute deviation0.7668
MAPEMean absolute percentage error0.016
SAESum of the absolute errors45.24
When Precious Metals And 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 Precious Metals And 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 Precious Metals observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Precious Metals

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Precious Metals And. 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.
Hype
Prediction
LowEstimatedHigh
57.9860.1162.24
Details
Intrinsic
Valuation
LowRealHigh
54.1062.4364.56
Details
Bollinger
Band Projection (param)
LowMiddleHigh
46.4953.3660.22
Details

Precious Metals After-Hype Price Density Analysis

As far as predicting the price of Precious Metals 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 Precious Metals 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 Precious Metals, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Precious Metals Estimiated After-Hype Price Volatility

In the context of predicting Precious Metals' mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Precious Metals' historical news coverage. Precious Metals' after-hype downside and upside margins for the prediction period are 57.98 and 62.24, respectively. We have considered Precious Metals' 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
60.11
60.11
After-hype Price
62.24
Upside
Precious Metals is very steady at this time. Analysis and calculation of next after-hype price of Precious Metals And is based on 3 months time horizon.

Precious Metals Mutual Fund Price Outlook Analysis

Have you ever been surprised when a price of a Mutual Fund such as Precious Metals is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Precious Metals 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 Precious Metals, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.68 
2.15
  17.32 
  1.50 
4 Events / Month
1 Events / Month
In about 4 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
60.11
60.11
0.00 
8.44  
Notes

Precious Metals Hype Timeline

Precious Metals And is at this time traded for 60.11. The entity has historical hype elasticity of -17.32, and average elasticity to hype of competition of 1.5. Precious is expected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 8.44%. The immediate return on the next news is expected to be very small, whereas the daily expected return is at this time at 0.68%. %. The volatility of related hype on Precious Metals is about 97.65%, with the expected price after the next announcement by competition of 61.61. The company has Price to Book (P/B) ratio of 0.96. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. Precious Metals And had not issued any dividends in recent years. Assuming the 90 days horizon the next expected press release will be in about 4 days.
Check out Historical Fundamental Analysis of Precious Metals to cross-verify your projections.

Precious Metals Related Hype Analysis

Having access to credible news sources related to Precious Metals' direct competition is more important than ever and may enhance your ability to predict Precious Metals' future price movements. Getting to know how Precious Metals' 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 Precious Metals may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Precious Metals

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

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

Precious Metals Market Strength Events

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

Precious Metals Risk Indicators

The analysis of Precious Metals' 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 Precious Metals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting precious 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 Precious Metals

The number of cover stories for Precious Metals depends on current market conditions and Precious Metals' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Precious Metals 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 Precious Metals' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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Other Information on Investing in Precious Mutual Fund

Precious Metals financial ratios help investors to determine whether Precious Mutual 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 Precious with respect to the benefits of owning Precious Metals security.
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