Silver Mines Stock Forecast - Simple Exponential Smoothing

SWQ Stock  EUR 0.04  0  2.39%   
The Simple Exponential Smoothing forecasted value of Silver Mines Limited on the next trading day is expected to be 0.05 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.20. Silver Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Silver Mines' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Silver Mines 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 Silver Mines Limited are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Silver Mines Limited prices get older.

Silver Mines Simple Exponential Smoothing Price Forecast For the 23rd of December

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Silver Mines Limited on the next trading day is expected to be 0.05 with a mean absolute deviation of 0, mean absolute percentage error of 0.000024, and the sum of the absolute errors of 0.20.
Please note that although there have been many attempts to predict Silver 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 Silver Mines' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Silver Mines Stock Forecast Pattern

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Silver Mines Forecasted Value

In the context of forecasting Silver Mines' 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. Silver Mines' downside and upside margins for the forecasting period are 0.0004 and 9.21, respectively. We have considered Silver Mines' 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
0.04
0.0004
Downside
0.05
Expected Value
9.21
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 Silver Mines stock data series using in forecasting. Note that when a statistical model is used to represent Silver Mines 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 Criteria105.6202
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0033
MAPEMean absolute percentage error0.0567
SAESum of the absolute errors0.1954
This simple exponential smoothing model begins by setting Silver Mines Limited forecast for the second period equal to the observation of the first period. In other words, recent Silver Mines observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Silver Mines

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Silver Mines Limited. 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
0.000.059.22
Details
Intrinsic
Valuation
LowRealHigh
0.000.049.21
Details

Other Forecasting Options for Silver Mines

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

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

Silver Mines Limited 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 Silver Mines' 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 Silver Mines' current price.

Silver Mines Market Strength Events

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

Silver Mines Risk Indicators

The analysis of Silver Mines' 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 Silver Mines' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting silver 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.

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Other Information on Investing in Silver Stock

Silver Mines financial ratios help investors to determine whether Silver Stock 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 Silver with respect to the benefits of owning Silver Mines security.