Silver Mountain OTC Stock Forecast - Naive Prediction
| AGMRF Stock | USD 2.63 0.03 1.15% |
The Naive Prediction forecasted value of Silver Mountain Resources on the next trading day is expected to be 2.68 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.56. Silver OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Silver Mountain's historical fundamentals, such as revenue growth or operating cash flow patterns.
Silver |
Silver Mountain Naive Prediction Price Forecast For the 26th of December
Given 90 days horizon, the Naive Prediction forecasted value of Silver Mountain Resources on the next trading day is expected to be 2.68 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.56.Please note that although there have been many attempts to predict Silver OTC 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 Mountain's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Silver Mountain OTC Stock Forecast Pattern
| Backtest Silver Mountain | Silver Mountain Price Prediction | Buy or Sell Advice |
Silver Mountain Forecasted Value
In the context of forecasting Silver Mountain's OTC 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 Mountain's downside and upside margins for the forecasting period are 0.03 and 8.89, respectively. We have considered Silver Mountain'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Silver Mountain otc stock data series using in forecasting. Note that when a statistical model is used to represent Silver Mountain otc 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.| AIC | Akaike Information Criteria | 115.8807 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1059 |
| MAPE | Mean absolute percentage error | 0.051 |
| SAE | Sum of the absolute errors | 6.5637 |
Predictive Modules for Silver Mountain
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 Mountain Resources. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.Other Forecasting Options for Silver Mountain
For every potential investor in Silver, whether a beginner or expert, Silver Mountain's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Silver OTC 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 Mountain's price trends.Silver Mountain 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 Mountain otc stock to make a market-neutral strategy. Peer analysis of Silver Mountain could also be used in its relative valuation, which is a method of valuing Silver Mountain by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Silver Mountain Resources Technical and Predictive Analytics
The otc 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 Mountain'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 Silver Mountain's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Silver Mountain Market Strength Events
Market strength indicators help investors to evaluate how Silver Mountain otc 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 Mountain shares will generate the highest return on investment. By undertsting and applying Silver Mountain otc stock market strength indicators, traders can identify Silver Mountain Resources entry and exit signals to maximize returns.
| Accumulation Distribution | 256.83 | |||
| Daily Balance Of Power | 0.5 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 2.64 | |||
| Day Typical Price | 2.64 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.03 |
Silver Mountain Risk Indicators
The analysis of Silver Mountain'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 Silver Mountain's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting silver otc 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.
| Mean Deviation | 4.99 | |||
| Semi Deviation | 5.75 | |||
| Standard Deviation | 6.39 | |||
| Variance | 40.79 | |||
| Downside Variance | 38.1 | |||
| Semi Variance | 33.1 | |||
| Expected Short fall | (5.52) |
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 OTC Stock
Silver Mountain financial ratios help investors to determine whether Silver OTC 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 Mountain security.