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 |
May 11, 2021 | $2.84 | $2.92 | $2.80 | $2.85 | 569 507 |
May 10, 2021 | $2.82 | $2.91 | $2.80 | $2.89 | 728 618 |
May 07, 2021 | $2.61 | $2.79 | $2.60 | $2.79 | 786 939 |
May 06, 2021 | $2.56 | $2.63 | $2.47 | $2.63 | 656 108 |
May 05, 2021 | $2.58 | $2.58 | $2.50 | $2.54 | 192 000 |
May 04, 2021 | $2.52 | $2.58 | $2.48 | $2.55 | 493 208 |
May 03, 2021 | $2.63 | $2.65 | $2.54 | $2.54 | 446 749 |
Apr 30, 2021 | $2.70 | $2.70 | $2.61 | $2.62 | 347 257 |
Apr 29, 2021 | $2.71 | $2.74 | $2.66 | $2.70 | 190 200 |
Apr 28, 2021 | $2.73 | $2.84 | $2.66 | $2.72 | 546 059 |
Apr 27, 2021 | $2.59 | $2.71 | $2.59 | $2.69 | 425 937 |
Apr 26, 2021 | $2.53 | $2.63 | $2.53 | $2.57 | 341 767 |
Apr 23, 2021 | $2.55 | $2.61 | $2.50 | $2.55 | 462 209 |
Apr 22, 2021 | $2.62 | $2.63 | $2.55 | $2.55 | 242 342 |
Apr 21, 2021 | $2.59 | $2.64 | $2.56 | $2.63 | 288 622 |
Apr 20, 2021 | $2.64 | $2.65 | $2.57 | $2.61 | 205 691 |
Apr 19, 2021 | $2.64 | $2.74 | $2.63 | $2.65 | 359 015 |
Apr 16, 2021 | $2.56 | $2.65 | $2.49 | $2.65 | 351 878 |
Apr 15, 2021 | $2.59 | $2.61 | $2.55 | $2.55 | 252 085 |
Apr 14, 2021 | $2.60 | $2.67 | $2.57 | $2.61 | 256 844 |
Apr 13, 2021 | $2.65 | $2.67 | $2.57 | $2.58 | 377 563 |
Apr 12, 2021 | $2.71 | $2.73 | $2.63 | $2.64 | 234 240 |
Apr 09, 2021 | $2.72 | $2.75 | $2.69 | $2.70 | 320 096 |
Apr 08, 2021 | $2.70 | $2.77 | $2.67 | $2.77 | 248 162 |
Apr 07, 2021 | $2.79 | $2.82 | $2.70 | $2.71 | 295 395 |
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.