ETFS Physical Etf Forecast - Simple Exponential Smoothing

GOLD Etf   37.60  0.25  0.67%   
The Simple Exponential Smoothing forecasted value of ETFS Physical Gold on the next trading day is expected to be 37.60 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.23. ETFS Etf Forecast is based on your current time horizon.
  
ETFS Physical 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 ETFS Physical Gold are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as ETFS Physical Gold prices get older.

ETFS Physical Simple Exponential Smoothing Price Forecast For the 3rd of December

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of ETFS Physical Gold on the next trading day is expected to be 37.60 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.14, and the sum of the absolute errors of 17.23.
Please note that although there have been many attempts to predict ETFS Etf 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 ETFS Physical's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ETFS Physical Etf Forecast Pattern

ETFS Physical Forecasted Value

In the context of forecasting ETFS Physical's Etf 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. ETFS Physical's downside and upside margins for the forecasting period are 36.64 and 38.56, respectively. We have considered ETFS Physical'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
37.60
37.60
Expected Value
38.56
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 ETFS Physical etf data series using in forecasting. Note that when a statistical model is used to represent ETFS Physical etf, 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 Criteria114.3165
BiasArithmetic mean of the errors -0.0525
MADMean absolute deviation0.2872
MAPEMean absolute percentage error0.0078
SAESum of the absolute errors17.23
This simple exponential smoothing model begins by setting ETFS Physical Gold forecast for the second period equal to the observation of the first period. In other words, recent ETFS Physical observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for ETFS Physical

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ETFS Physical Gold. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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
36.6937.6538.61
Details
Intrinsic
Valuation
LowRealHigh
33.4734.4341.36
Details
Bollinger
Band Projection (param)
LowMiddleHigh
36.0437.5439.03
Details

Other Forecasting Options for ETFS Physical

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

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

ETFS Physical Gold Technical and Predictive Analytics

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

ETFS Physical Market Strength Events

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

ETFS Physical Risk Indicators

The analysis of ETFS Physical'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 ETFS Physical's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting etfs etf 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Other Information on Investing in ETFS Etf

ETFS Physical financial ratios help investors to determine whether ETFS Etf 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 ETFS with respect to the benefits of owning ETFS Physical security.