SSR Mining Stock Forecast - Polynomial Regression
| SSRM Stock | USD 22.57 0.93 4.30% |
The Polynomial Regression forecasted value of SSR Mining on the next trading day is expected to be 22.46 with a mean absolute deviation of 0.69 and the sum of the absolute errors of 42.74. SSR Stock Forecast is based on your current time horizon. Although SSR Mining's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of SSR Mining's systematic risk associated with finding meaningful patterns of SSR Mining fundamentals over time.
As of now the relative strength momentum indicator of SSR Mining's share price is below 20 . This usually implies 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 |
Quarterly Earnings Growth 4.881 | EPS Estimate Next Quarter 0.7665 | EPS Estimate Current Year 1.7545 | EPS Estimate Next Year 3.5052 | Wall Street Target Price 26.6 |
Using SSR Mining hype-based prediction, you can estimate the value of SSR Mining from the perspective of SSR Mining response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards SSR Mining using SSR Mining's stock options and short interest. It helps to benchmark the overall future attitude of investors towards SSR using crowd psychology based on the activity and movement of SSR Mining's stock price.
SSR Mining Short Interest
An investor who is long SSR Mining may also wish to track short interest. As short interest increases, investors should be becoming more worried about SSR Mining and may potentially protect profits, hedge SSR Mining with its derivative instruments, or be ready for some potential downside.
200 Day MA 16.6292 | Short Percent 0.0511 | Short Ratio 4.57 | Shares Short Prior Month 10.1 M | 50 Day MA 21.8208 |
SSR Mining Hype to Price Pattern
Investor biases related to SSR Mining's public news can be used to forecast risks associated with an investment in SSR. The trend in average sentiment can be used to explain how an investor holding SSR can time the market purely based on public headlines and social activities around SSR Mining. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of SSR Mining's market sentiment to its price can help taders to make decisions based on the overall investors consensus about SSR Mining.
SSR Mining Implied Volatility | 0.73 |
SSR Mining's implied volatility exposes the market's sentiment of SSR Mining stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if SSR Mining's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that SSR Mining stock will not fluctuate a lot when SSR Mining's options are near their expiration.
The Polynomial Regression forecasted value of SSR Mining on the next trading day is expected to be 22.46 with a mean absolute deviation of 0.69 and the sum of the absolute errors of 42.74. SSR Mining after-hype prediction price | USD 22.57 |
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 SSR Mining to cross-verify your projections. Open Interest Against 2026-03-20 SSR Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast SSR Mining's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in SSR Mining's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for SSR Mining stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current SSR Mining's open interest, investors have to compare it to SSR Mining's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of SSR Mining is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in SSR. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
SSR Mining Additional Predictive Modules
Most predictive techniques to examine SSR price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SSR using various technical indicators. When you analyze SSR 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SSR Mining Polynomial Regression Price Forecast For the 8th of January
Given 90 days horizon, the Polynomial Regression forecasted value of SSR Mining on the next trading day is expected to be 22.46 with a mean absolute deviation of 0.69, mean absolute percentage error of 0.82, and the sum of the absolute errors of 42.74.Please note that although there have been many attempts to predict SSR 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 SSR Mining's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SSR Mining Stock Forecast Pattern
| Backtest SSR Mining | SSR Mining Price Prediction | Buy or Sell Advice |
SSR Mining Forecasted Value
In the context of forecasting SSR Mining'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. SSR Mining's downside and upside margins for the forecasting period are 19.02 and 25.89, respectively. We have considered SSR Mining'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of SSR Mining stock data series using in forecasting. Note that when a statistical model is used to represent SSR Mining 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 | 119.744 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6894 |
| MAPE | Mean absolute percentage error | 0.0311 |
| SAE | Sum of the absolute errors | 42.7424 |
Predictive Modules for SSR Mining
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SSR Mining. 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.Other Forecasting Options for SSR Mining
For every potential investor in SSR, whether a beginner or expert, SSR Mining's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SSR Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SSR. Basic forecasting techniques help filter out the noise by identifying SSR Mining's price trends.View SSR Mining Related Equities
| Risk & Return | Correlation |
SSR Mining 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 SSR Mining'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 SSR Mining's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SSR Mining Market Strength Events
Market strength indicators help investors to evaluate how SSR Mining stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SSR Mining shares will generate the highest return on investment. By undertsting and applying SSR Mining stock market strength indicators, traders can identify SSR Mining entry and exit signals to maximize returns.
| Accumulation Distribution | 127850.0 | |||
| Daily Balance Of Power | 0.93 | |||
| Rate Of Daily Change | 1.04 | |||
| Day Median Price | 22.11 | |||
| Day Typical Price | 22.26 | |||
| Price Action Indicator | 0.93 | |||
| Period Momentum Indicator | 0.93 |
SSR Mining Risk Indicators
The analysis of SSR Mining'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 SSR Mining's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ssr 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 | 2.34 | |||
| Standard Deviation | 3.32 | |||
| Variance | 11.05 |
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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Try AI Portfolio ProphetCheck out Historical Fundamental Analysis of SSR Mining to cross-verify your projections. To learn how to invest in SSR Stock, please use our How to Invest in SSR Mining guide.You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Is Metals & Mining space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of SSR Mining. If investors know SSR will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about SSR Mining listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 4.881 | Earnings Share 1.03 | Revenue Per Share | Quarterly Revenue Growth 0.499 | Return On Assets |
The market value of SSR Mining is measured differently than its book value, which is the value of SSR that is recorded on the company's balance sheet. Investors also form their own opinion of SSR Mining's value that differs from its market value or its book value, called intrinsic value, which is SSR Mining's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SSR Mining's market value can be influenced by many factors that don't directly affect SSR Mining's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SSR Mining's value and its price as these two are different measures arrived at by different means. Investors typically determine if SSR Mining is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SSR Mining's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.