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Comparison amongst [WPM, SPX, XLB]
Data updated 2025-Apr-30 (Wednesday)Compare Wheaton Precious Metals Corp, S&P 500 Index, Materials Select Sector SPDR ETF side by side across multiple time-frames, technicals & financials . To compare performance using custom dates or benchmarking with a custom security, try alternate view
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Technical indicators calculated using daily values. Hover on cells below for additional contextual info
| Wheaton Precious Metals Corp | S&P 500 Index | Materials Select Sector SPD... | |
|---|---|---|---|
| Sector | Materials | ||
| Industry | Metals & Mining | Investment Trusts/Mutual Funds | |
| % off 5-d SMA/EMA | +1.5% +1.2% | +0.6% +0.9% | +0.8% +1.0% |
| % off 10-d SMA/EMA | +0.6% +1.7% | +3.0% +2.0% | +2.4% +1.8% |
| % off 20-d SMA/EMA | +4.5% +3.8% | +4.0% +2.2% | +3.6% +1.9% |
| % off 50-d SMA/EMA | +10.7% +10.0% | -0.6% 0.0% | -0.8% -0.1% |
| % off 100-d SMA/EMA | +22.7% +17.6% | -4.1% -1.9% | -2.7% -2.5% |
| % off 200-d SMA/EMA | +29.0% +27.3% | -3.1% -1.2% | -6.4% -4.2% |
| RSI | 63 | 55 | 54 |
| MACD | -0.17 | 49.65 | 0.64 |
| Stochastic Oscillator | 68.1 69.0 | 97.2 97.8 | 95.4 94.5 |
| ADX | 34.5 | 27.5 | 24.0 |
| CCI | 53.1 | 88.4 | 81.5 |
| OBV | 470 Million | 1.28 Trillion | 280 Million |
| Chaikin AD | 237 Million | 2.05 Trillion | 1.38 Billion |
| ATR | 2.8 | 149.25 | 2.17 |
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Performance
Technicals Moving Averages |
Performance
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Performance
Technicals Moving Averages |
Relative Strength Index (RSI) is considered overbought when > 70 and oversold when < 30
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Snapshots : Popular lists of stocks & etfs (best streaks, most beaten down etc. in last X days)
Market Performance : Recent performance across covered assets
Historical Performance : Prior & Subsequent performance across assets on a historical date
Market Technicals : Technical indicator levels across covered assets
Market Seasonality : Seasonal performance by calendar months across covered assets
Performance Comparison : Chart compare/benchmark performance with multiple assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation Currently Viewing
Sector : Analyze & compare Sector performance
Industry : Analyze & compare Industries within Sectors
Breakouts & Breakdowns : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes
Swing Volatility : Identifying stocks/etfs with elevated volatility
World Explorer : Performance & Correlation between key countries across the world
Advance/Decline : Sentiment using accumulated advances & declines in S&P 500 stocks
Highs/Lows : Sentiment using frequency of key highs/lows in S&P 500 stocks
Moving Average : Sentiment using frequency of S&P 500 stocks above key moving averages
Technical Distribution : Sentiment using frequency distribution of S&P 500 stocks with bullish/bearish technical levels
Snapshots : Popular lists of stocks & etfs (best streaks, most beaten down etc. in last X days)
Market Performance : Recent performance across covered assets
Historical Performance : Prior & Subsequent performance across assets on a historical date
Market Technicals : Technical indicator levels across covered assets
Market Seasonality : Seasonal performance by calendar months across covered assets
Performance Comparison : Chart compare/benchmark performance with multiple assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation Currently Viewing
Sector : Analyze & compare Sector performance
Industry : Analyze & compare Industries within Sectors
Breakouts & Breakdowns : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes
Swing Volatility : Identifying stocks/etfs with elevated volatility
World Explorer : Performance & Correlation between key countries across the world
Advance/Decline : Sentiment using accumulated advances & declines in S&P 500 stocks
Highs/Lows : Sentiment using frequency of key highs/lows in S&P 500 stocks
Moving Average : Sentiment using frequency of S&P 500 stocks above key moving averages
Technical Distribution : Sentiment using frequency distribution of S&P 500 stocks with bullish/bearish technical levels