NYSE:SAN
Banco Santander SA Stock Price (Quote)
$5.25
+0.110 (+2.14%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.64 | $5.27 | Friday, 17th May 2024 SAN stock ended at $5.25. This is 2.14% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.54% from a day low at $5.19 to a day high of $5.27. |
90 days | $4.04 | $5.27 | |
52 weeks | $3.20 | $5.27 |
Date | Open | High | Low | Close | Volume |
Aug 02, 2023 | $3.84 | $3.85 | $3.79 | $3.80 | 3 634 667 |
Aug 01, 2023 | $3.96 | $3.97 | $3.89 | $3.91 | 7 924 540 |
Jul 31, 2023 | $4.04 | $4.07 | $4.00 | $4.03 | 4 482 166 |
Jul 28, 2023 | $4.04 | $4.05 | $4.01 | $4.04 | 3 718 216 |
Jul 27, 2023 | $4.07 | $4.09 | $4.00 | $4.01 | 6 820 440 |
Jul 26, 2023 | $3.99 | $4.07 | $3.98 | $4.06 | 10 311 160 |
Jul 25, 2023 | $3.89 | $3.90 | $3.86 | $3.87 | 2 183 564 |
Jul 24, 2023 | $3.85 | $3.89 | $3.84 | $3.86 | 2 111 123 |
Jul 21, 2023 | $3.90 | $3.91 | $3.88 | $3.90 | 1 263 704 |
Jul 20, 2023 | $3.91 | $3.93 | $3.89 | $3.90 | 2 228 080 |
Jul 19, 2023 | $3.89 | $3.90 | $3.87 | $3.90 | 1 548 656 |
Jul 18, 2023 | $3.86 | $3.94 | $3.86 | $3.93 | 2 071 959 |
Jul 17, 2023 | $3.85 | $3.87 | $3.84 | $3.85 | 1 644 629 |
Jul 14, 2023 | $3.90 | $3.92 | $3.84 | $3.84 | 1 871 245 |
Jul 13, 2023 | $3.88 | $3.92 | $3.88 | $3.90 | 3 178 349 |
Jul 12, 2023 | $3.77 | $3.86 | $3.76 | $3.84 | 5 659 803 |
Jul 11, 2023 | $3.66 | $3.68 | $3.64 | $3.67 | 2 161 475 |
Jul 10, 2023 | $3.58 | $3.61 | $3.58 | $3.59 | 1 613 567 |
Jul 07, 2023 | $3.55 | $3.61 | $3.54 | $3.58 | 3 196 753 |
Jul 06, 2023 | $3.56 | $3.56 | $3.49 | $3.53 | 2 898 760 |
Jul 05, 2023 | $3.65 | $3.65 | $3.61 | $3.63 | 2 068 079 |
Jul 03, 2023 | $3.72 | $3.75 | $3.71 | $3.75 | 1 346 840 |
Jun 30, 2023 | $3.72 | $3.73 | $3.68 | $3.71 | 2 685 844 |
Jun 29, 2023 | $3.57 | $3.65 | $3.58 | $3.65 | 1 843 304 |
Jun 28, 2023 | $3.56 | $3.61 | $3.55 | $3.60 | 4 114 790 |
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 SAN stock historical prices to predict future price movements?
Trend Analysis: Examine the SAN 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 SAN 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.