NYSE:SBSW
Sibanye Stillwater Limited Stock Price (Quote)
$5.09
-0.160 (-3.05%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.51 | $5.91 | Thursday, 23rd May 2024 SBSW stock ended at $5.09. This is 3.05% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 4.80% from a day low at $5.06 to a day high of $5.31. |
90 days | $3.85 | $5.93 | |
52 weeks | $3.85 | $7.78 |
Date | Open | High | Low | Close | Volume |
Mar 13, 2024 | $4.61 | $4.82 | $4.59 | $4.75 | 6 325 196 |
Mar 12, 2024 | $4.45 | $4.53 | $4.38 | $4.47 | 3 763 622 |
Mar 11, 2024 | $4.50 | $4.65 | $4.45 | $4.57 | 4 999 959 |
Mar 08, 2024 | $4.59 | $4.72 | $4.54 | $4.64 | 5 129 973 |
Mar 07, 2024 | $4.41 | $4.58 | $4.36 | $4.56 | 7 442 291 |
Mar 06, 2024 | $4.11 | $4.50 | $4.10 | $4.45 | 11 854 771 |
Mar 05, 2024 | $3.97 | $4.03 | $3.85 | $3.93 | 12 046 385 |
Mar 04, 2024 | $4.17 | $4.30 | $4.10 | $4.30 | 5 525 812 |
Mar 01, 2024 | $4.17 | $4.27 | $4.13 | $4.24 | 4 385 911 |
Feb 29, 2024 | $4.22 | $4.24 | $4.05 | $4.12 | 4 631 683 |
Feb 28, 2024 | $4.13 | $4.16 | $4.01 | $4.03 | 4 771 162 |
Feb 27, 2024 | $4.26 | $4.29 | $4.20 | $4.21 | 2 775 371 |
Feb 26, 2024 | $4.24 | $4.28 | $4.17 | $4.20 | 2 926 400 |
Feb 23, 2024 | $4.22 | $4.30 | $4.14 | $4.30 | 4 529 375 |
Feb 22, 2024 | $4.33 | $4.36 | $4.24 | $4.24 | 3 676 030 |
Feb 21, 2024 | $4.33 | $4.35 | $4.24 | $4.28 | 5 613 928 |
Feb 20, 2024 | $4.55 | $4.61 | $4.48 | $4.60 | 4 804 814 |
Feb 16, 2024 | $4.53 | $4.70 | $4.51 | $4.66 | 4 248 335 |
Feb 15, 2024 | $4.55 | $4.69 | $4.51 | $4.55 | 3 601 331 |
Feb 14, 2024 | $4.27 | $4.43 | $4.26 | $4.41 | 5 442 707 |
Feb 13, 2024 | $4.23 | $4.24 | $4.12 | $4.18 | 5 867 972 |
Feb 12, 2024 | $4.28 | $4.44 | $4.25 | $4.38 | 3 931 460 |
Feb 09, 2024 | $4.24 | $4.30 | $4.18 | $4.28 | 5 341 797 |
Feb 08, 2024 | $4.40 | $4.42 | $4.32 | $4.35 | 4 014 378 |
Feb 07, 2024 | $4.60 | $4.61 | $4.42 | $4.46 | 5 879 016 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use SBSW stock historical prices to predict future price movements?
Trend Analysis: Examine the SBSW stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the SBSW stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.