Silver Mountain Stock Forecast - Naive Prediction

AGMR Stock   4.04  0.22  5.16%   
The Naive Prediction forecasted value of Silver Mountain Resources on the next trading day is expected to be 4.55 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 8.91. Silver Stock Forecast is based on your current time horizon.
At this time the relative strength momentum indicator of Silver Mountain's share price is below 20 . This suggests that the stock 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 Silver Mountain's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Silver Mountain and does not consider all of the tangible or intangible factors available from Silver Mountain's fundamental data. We analyze noise-free headlines and recent hype associated with Silver Mountain Resources, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Silver Mountain's stock price prediction:
EPS Estimate Current Year
(0.13)
EPS Estimate Next Year
0.3017
Wall Street Target Price
3.975
Using Silver Mountain hype-based prediction, you can estimate the value of Silver Mountain Resources from the perspective of Silver Mountain response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Silver Mountain Resources on the next trading day is expected to be 4.55 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 8.91.

Silver Mountain after-hype prediction price

    
  CAD 4.04  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Silver Mountain to cross-verify your projections.
Payables Turnover is likely to drop to 0.15 in 2026. Common Stock Shares Outstanding is likely to drop to about 21.1 M in 2026. Net Loss is likely to climb to about (4.5 M) in 2026.

Silver Mountain Additional Predictive Modules

Most predictive techniques to examine Silver price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Silver using various technical indicators. When you analyze Silver 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.
A naive forecasting model for Silver Mountain is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Silver Mountain Resources value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Silver Mountain Naive Prediction Price Forecast For the 3rd of January

Given 90 days horizon, the Naive Prediction forecasted value of Silver Mountain Resources on the next trading day is expected to be 4.55 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.91.
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 Mountain's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Silver Mountain Stock Forecast Pattern

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Silver Mountain Forecasted Value

In the context of forecasting Silver Mountain's 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 0.04 and 11.25, 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.
Market Value
4.04
4.55
Expected Value
11.25
Upside

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 stock data series using in forecasting. Note that when a statistical model is used to represent Silver Mountain 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 Criteria114.7302
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1461
MAPEMean absolute percentage error0.0493
SAESum of the absolute errors8.9107
This model is not at all useful as a medium-long range forecasting tool of Silver Mountain Resources. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Silver Mountain. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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 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
0.204.0410.74
Details
Intrinsic
Valuation
LowRealHigh
0.153.079.77
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details

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 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 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 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.

Silver Mountain Market Strength Events

Market strength indicators help investors to evaluate how Silver Mountain 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 stock market strength indicators, traders can identify Silver Mountain Resources entry and exit signals to maximize returns.

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 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.

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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Additional Tools for Silver Stock Analysis

When running Silver Mountain's price analysis, check to measure Silver Mountain's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Silver Mountain is operating at the current time. Most of Silver Mountain's value examination focuses on studying past and present price action to predict the probability of Silver Mountain's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silver Mountain's price. Additionally, you may evaluate how the addition of Silver Mountain to your portfolios can decrease your overall portfolio volatility.