NYSE:BFR
Delisted
BBVA Banco Frances SA Stock Price (Quote)
$3.14
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.14 | $3.14 | Wednesday, 20th Jul 2022 BFR stock ended at $3.14. During the day the stock fluctuated 0% from a day low at $3.14 to a day high of $3.14. |
90 days | $3.14 | $3.14 | |
52 weeks | $2.71 | $4.98 |
Historical BBVA Banco Frances SA prices
Date | Open | High | Low | Close | Volume |
Jul 22, 2021 | $3.14 | $3.14 | $3.04 | $3.04 | 243 759 |
Jul 21, 2021 | $3.01 | $3.17 | $3.01 | $3.16 | 366 238 |
Jul 20, 2021 | $3.04 | $3.06 | $2.97 | $3.02 | 251 647 |
Jul 19, 2021 | $3.06 | $3.08 | $3.00 | $3.04 | 319 245 |
Jul 16, 2021 | $3.21 | $3.25 | $3.13 | $3.14 | 183 051 |
Jul 15, 2021 | $3.22 | $3.29 | $3.19 | $3.24 | 105 032 |
Jul 14, 2021 | $3.34 | $3.42 | $3.26 | $3.27 | 256 320 |
Jul 13, 2021 | $3.34 | $3.34 | $3.24 | $3.31 | 174 272 |
Jul 12, 2021 | $3.12 | $3.36 | $3.10 | $3.32 | 632 946 |
Jul 09, 2021 | $3.06 | $3.13 | $3.04 | $3.12 | 183 675 |
Jul 08, 2021 | $3.07 | $3.09 | $3.04 | $3.05 | 324 324 |
Jul 07, 2021 | $3.13 | $3.15 | $3.06 | $3.13 | 394 768 |
Jul 06, 2021 | $3.20 | $3.24 | $3.15 | $3.15 | 194 353 |
Jul 02, 2021 | $3.20 | $3.28 | $3.11 | $3.22 | 383 917 |
Jul 01, 2021 | $3.27 | $3.29 | $3.16 | $3.19 | 229 325 |
Jun 30, 2021 | $3.31 | $3.32 | $3.23 | $3.25 | 242 328 |
Jun 29, 2021 | $3.41 | $3.44 | $3.29 | $3.32 | 292 433 |
Jun 28, 2021 | $3.48 | $3.56 | $3.41 | $3.44 | 216 564 |
Jun 25, 2021 | $3.53 | $3.53 | $3.31 | $3.47 | 979 441 |
Jun 24, 2021 | $3.69 | $3.72 | $3.60 | $3.61 | 176 480 |
Jun 23, 2021 | $3.80 | $3.85 | $3.65 | $3.68 | 362 735 |
Jun 22, 2021 | $3.60 | $3.75 | $3.53 | $3.72 | 468 774 |
Jun 21, 2021 | $3.85 | $3.85 | $3.63 | $3.64 | 227 658 |
Jun 18, 2021 | $3.78 | $3.81 | $3.69 | $3.81 | 693 061 |
Jun 17, 2021 | $3.89 | $3.97 | $3.78 | $3.81 | 272 311 |
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 BFR stock historical prices to predict future price movements?
Trend Analysis: Examine the BFR 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 BFR 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.