Wheaton Precious (Germany) Market Value
| SII Stock | EUR 117.95 3.70 3.24% |
| Symbol | Wheaton |
Wheaton Precious 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Wheaton Precious' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Wheaton Precious.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Wheaton Precious on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Wheaton Precious Metals or generate 0.0% return on investment in Wheaton Precious over 90 days. Wheaton Precious is related to or competes with Sunstone Hotel, Scandic Hotels, Hyatt Hotels, National Retail, Caseys General, Retail Estates, and COSTCO WHOLESALE. Wheaton Precious is entity of Germany. It is traded as Stock on HM exchange. More
Wheaton Precious Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Wheaton Precious' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Wheaton Precious Metals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.59 | |||
| Information Ratio | 0.1632 | |||
| Maximum Drawdown | 15.45 | |||
| Value At Risk | (2.96) | |||
| Potential Upside | 4.09 |
Wheaton Precious Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wheaton Precious' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wheaton Precious' standard deviation. In reality, there are many statistical measures that can use Wheaton Precious historical prices to predict the future Wheaton Precious' volatility.| Risk Adjusted Performance | 0.167 | |||
| Jensen Alpha | 0.4669 | |||
| Total Risk Alpha | 0.2415 | |||
| Sortino Ratio | 0.1583 | |||
| Treynor Ratio | 1.67 |
Wheaton Precious February 9, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.167 | |||
| Market Risk Adjusted Performance | 1.68 | |||
| Mean Deviation | 1.87 | |||
| Semi Deviation | 2.17 | |||
| Downside Deviation | 2.59 | |||
| Coefficient Of Variation | 502.9 | |||
| Standard Deviation | 2.52 | |||
| Variance | 6.33 | |||
| Information Ratio | 0.1632 | |||
| Jensen Alpha | 0.4669 | |||
| Total Risk Alpha | 0.2415 | |||
| Sortino Ratio | 0.1583 | |||
| Treynor Ratio | 1.67 | |||
| Maximum Drawdown | 15.45 | |||
| Value At Risk | (2.96) | |||
| Potential Upside | 4.09 | |||
| Downside Variance | 6.73 | |||
| Semi Variance | 4.71 | |||
| Expected Short fall | (2.00) | |||
| Skewness | (0.31) | |||
| Kurtosis | 1.55 |
Wheaton Precious Metals Backtested Returns
Wheaton Precious appears to be very steady, given 3 months investment horizon. Wheaton Precious Metals shows Sharpe Ratio of 0.18, which attests that the company had a 0.18 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Wheaton Precious Metals, which you can use to evaluate the volatility of the company. Please utilize Wheaton Precious' Downside Deviation of 2.59, market risk adjusted performance of 1.68, and Mean Deviation of 1.87 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Wheaton Precious holds a performance score of 14. The firm maintains a market beta of 0.29, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Wheaton Precious' returns are expected to increase less than the market. However, during the bear market, the loss of holding Wheaton Precious is expected to be smaller as well. Please check Wheaton Precious' coefficient of variation, sortino ratio, potential upside, as well as the relationship between the jensen alpha and maximum drawdown , to make a quick decision on whether Wheaton Precious' historical returns will revert.
Auto-correlation | 0.35 |
Below average predictability
Wheaton Precious Metals has below average predictability. Overlapping area represents the amount of predictability between Wheaton Precious time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Wheaton Precious Metals price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Wheaton Precious price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 64.27 |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetCheck out Wheaton Precious Correlation, Wheaton Precious Volatility and Wheaton Precious Performance module to complement your research on Wheaton Precious. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Wheaton Precious technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.