NYSE:BSBR
Banco Santander Brasil SA Stock Price (Quote)
$5.45
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.06 | $6.01 | Friday, 17th May 2024 BSBR stock ended at $5.45. During the day the stock fluctuated 1.30% from a day low at $5.39 to a day high of $5.46. |
90 days | $5.06 | $6.02 | |
52 weeks | $4.93 | $6.66 |
Date | Open | High | Low | Close | Volume |
Dec 02, 2016 | $7.51 | $7.71 | $7.49 | $7.59 | 1 435 119 |
Dec 01, 2016 | $7.99 | $8.04 | $7.43 | $7.46 | 2 709 914 |
Nov 30, 2016 | $8.25 | $8.43 | $8.23 | $8.25 | 1 755 757 |
Nov 29, 2016 | $8.32 | $8.35 | $8.15 | $8.16 | 1 857 924 |
Nov 28, 2016 | $8.22 | $8.46 | $8.19 | $8.39 | 1 413 194 |
Nov 25, 2016 | $8.18 | $8.26 | $8.15 | $8.20 | 987 808 |
Nov 23, 2016 | $8.42 | $8.42 | $8.25 | $8.36 | 2 092 816 |
Nov 22, 2016 | $8.76 | $8.77 | $8.48 | $8.57 | 2 424 259 |
Nov 21, 2016 | $8.54 | $8.68 | $8.43 | $8.56 | 4 554 400 |
Nov 18, 2016 | $8.00 | $8.16 | $7.85 | $8.12 | 1 966 783 |
Nov 17, 2016 | $7.82 | $7.88 | $7.59 | $7.64 | 1 115 182 |
Nov 16, 2016 | $7.70 | $7.86 | $7.68 | $7.76 | 1 542 675 |
Nov 15, 2016 | $7.40 | $7.99 | $7.40 | $7.89 | 1 941 527 |
Nov 14, 2016 | $7.21 | $7.42 | $7.10 | $7.40 | 1 489 862 |
Nov 11, 2016 | $7.11 | $7.37 | $6.97 | $7.32 | 1 887 895 |
Nov 10, 2016 | $7.73 | $7.76 | $7.39 | $7.40 | 1 594 374 |
Nov 09, 2016 | $8.08 | $8.36 | $8.08 | $8.11 | 1 377 749 |
Nov 08, 2016 | $8.25 | $8.53 | $8.16 | $8.41 | 1 269 538 |
Nov 07, 2016 | $8.13 | $8.30 | $8.11 | $8.29 | 632 700 |
Nov 04, 2016 | $7.85 | $8.06 | $7.78 | $7.89 | 888 100 |
Nov 03, 2016 | $7.92 | $8.09 | $7.84 | $7.84 | 1 094 400 |
Nov 02, 2016 | $7.88 | $8.21 | $7.81 | $7.87 | 1 679 100 |
Nov 01, 2016 | $8.07 | $8.14 | $7.82 | $7.93 | 961 400 |
Oct 31, 2016 | $8.07 | $8.20 | $7.99 | $8.18 | 1 105 400 |
Oct 28, 2016 | $7.94 | $7.98 | $7.80 | $7.91 | 572 300 |
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 BSBR stock historical prices to predict future price movements?
Trend Analysis: Examine the BSBR 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 BSBR 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.