Wheaton Precious Stock Forecast - Polynomial Regression
| SII Stock | EUR 99.60 3.85 3.72% |
The Polynomial Regression forecasted value of Wheaton Precious Metals on the next trading day is expected to be 102.40 with a mean absolute deviation of 2.29 and the sum of the absolute errors of 139.47. Wheaton Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Wheaton Precious' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 6th of January 2026 The value of RSI of Wheaton Precious' share price is above 80 . This usually implies that the stock is significantly overbought by investors. 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 91
Buy Peaked
Oversold | Overbought |
Using Wheaton Precious hype-based prediction, you can estimate the value of Wheaton Precious Metals from the perspective of Wheaton Precious response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Wheaton Precious Metals on the next trading day is expected to be 102.40 with a mean absolute deviation of 2.29 and the sum of the absolute errors of 139.47. Wheaton Precious after-hype prediction price | EUR 99.6 |
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.
Wheaton |
Wheaton Precious Additional Predictive Modules
Most predictive techniques to examine Wheaton price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Wheaton using various technical indicators. When you analyze Wheaton 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 |
Wheaton Precious Polynomial Regression Price Forecast For the 7th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Wheaton Precious Metals on the next trading day is expected to be 102.40 with a mean absolute deviation of 2.29, mean absolute percentage error of 7.80, and the sum of the absolute errors of 139.47.Please note that although there have been many attempts to predict Wheaton 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 Wheaton Precious' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Wheaton Precious Stock Forecast Pattern
| Backtest Wheaton Precious | Wheaton Precious Price Prediction | Buy or Sell Advice |
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 Wheaton Precious stock data series using in forecasting. Note that when a statistical model is used to represent Wheaton Precious 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 | 120.1646 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.2864 |
| MAPE | Mean absolute percentage error | 0.0251 |
| SAE | Sum of the absolute errors | 139.4685 |
Predictive Modules for Wheaton Precious
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wheaton Precious Metals. 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.Wheaton Precious 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 Wheaton Precious stock to make a market-neutral strategy. Peer analysis of Wheaton Precious could also be used in its relative valuation, which is a method of valuing Wheaton Precious by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Wheaton Precious Market Strength Events
Market strength indicators help investors to evaluate how Wheaton Precious stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Wheaton Precious shares will generate the highest return on investment. By undertsting and applying Wheaton Precious stock market strength indicators, traders can identify Wheaton Precious Metals entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0372 | |||
| Daily Balance Of Power | (1.00) | |||
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 101.53 | |||
| Day Typical Price | 100.88 | |||
| Market Facilitation Index | 3.85 | |||
| Price Action Indicator | (3.85) | |||
| Period Momentum Indicator | (3.85) | |||
| Relative Strength Index | 91.65 |
Wheaton Precious Risk Indicators
The analysis of Wheaton Precious' 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 Wheaton Precious' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wheaton 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 | 1.91 | |||
| Semi Deviation | 2.71 | |||
| Standard Deviation | 2.69 | |||
| Variance | 7.25 | |||
| Downside Variance | 9.17 | |||
| Semi Variance | 7.34 | |||
| Expected Short fall | (1.89) |
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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Additional Information and Resources on Investing in Wheaton Stock
When determining whether Wheaton Precious Metals is a strong investment it is important to analyze Wheaton Precious' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Wheaton Precious' future performance. For an informed investment choice regarding Wheaton Stock, refer to the following important reports:Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.