PINK:BAYRY
Bayer AG (ADR) Stock Price (Quote)
$7.03
+0.120 (+1.74%)
At Close: Jul 03, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.88 | $7.85 | Wednesday, 3rd Jul 2024 BAYRY stock ended at $7.03. This is 1.74% more than the trading day before Tuesday, 2nd Jul 2024. During the day the stock fluctuated 0.86% from a day low at $7.01 to a day high of $7.07. |
90 days | $6.88 | $8.08 | |
52 weeks | $6.88 | $14.70 |
Historical Bayer AG (ADR) prices
Date | Open | High | Low | Close | Volume |
Jul 03, 2024 | $7.02 | $7.07 | $7.01 | $7.03 | 144 958 |
Jul 02, 2024 | $6.93 | $6.95 | $6.90 | $6.91 | 52 088 |
Jul 01, 2024 | $7.05 | $7.09 | $6.97 | $6.98 | 100 976 |
Jun 28, 2024 | $7.07 | $7.07 | $6.98 | $7.03 | 246 861 |
Jun 27, 2024 | $6.95 | $7.00 | $6.95 | $6.97 | 133 977 |
Jun 26, 2024 | $6.88 | $6.96 | $6.88 | $6.96 | 146 638 |
Jun 25, 2024 | $7.00 | $7.03 | $6.97 | $7.01 | 134 903 |
Jun 24, 2024 | $7.15 | $7.19 | $7.10 | $7.11 | 182 440 |
Jun 21, 2024 | $6.95 | $7.00 | $6.94 | $6.98 | 64 002 |
Jun 20, 2024 | $6.92 | $7.01 | $6.92 | $6.99 | 100 684 |
Jun 18, 2024 | $7.06 | $7.08 | $7.04 | $7.07 | 161 525 |
Jun 17, 2024 | $7.03 | $7.06 | $7.00 | $7.04 | 66 980 |
Jun 14, 2024 | $7.35 | $7.35 | $7.23 | $7.24 | 63 486 |
Jun 13, 2024 | $7.42 | $7.42 | $7.33 | $7.35 | 63 783 |
Jun 12, 2024 | $7.57 | $7.61 | $7.51 | $7.52 | 99 614 |
Jun 11, 2024 | $7.30 | $7.31 | $7.25 | $7.29 | 96 087 |
Jun 10, 2024 | $7.45 | $7.45 | $7.40 | $7.43 | 119 254 |
Jun 07, 2024 | $7.59 | $7.65 | $7.59 | $7.65 | 188 266 |
Jun 06, 2024 | $7.68 | $7.75 | $7.65 | $7.75 | 88 822 |
Jun 05, 2024 | $7.84 | $7.84 | $7.75 | $7.84 | 345 442 |
Jun 04, 2024 | $7.76 | $7.80 | $7.72 | $7.79 | 893 990 |
Jun 03, 2024 | $7.74 | $7.85 | $7.72 | $7.84 | 823 077 |
May 31, 2024 | $7.63 | $7.72 | $7.59 | $7.72 | 2 021 505 |
May 30, 2024 | $7.59 | $7.66 | $7.58 | $7.65 | 1 250 461 |
May 29, 2024 | $7.42 | $7.42 | $7.30 | $7.31 | 1 630 747 |
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 BAYRY stock historical prices to predict future price movements?
Trend Analysis: Examine the BAYRY 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 BAYRY 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.