PINK:POAHY
Porsche Automobil Holding SE Stock Price (Quote)
$5.42
+0.210 (+4.03%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.85 | $5.46 | Tuesday, 28th May 2024 POAHY stock ended at $5.42. This is 4.03% more than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 1.36% from a day low at $5.39 to a day high of $5.46. |
90 days | $4.85 | $5.58 | |
52 weeks | $4.37 | $6.26 |
Historical Porsche Automobil Holding SE prices
Date | Open | High | Low | Close | Volume |
Oct 20, 2023 | $4.68 | $4.70 | $4.61 | $4.65 | 228 140 |
Oct 19, 2023 | $4.78 | $4.82 | $4.76 | $4.78 | 248 361 |
Oct 18, 2023 | $4.86 | $4.86 | $4.81 | $4.82 | 112 153 |
Oct 17, 2023 | $4.83 | $4.90 | $4.82 | $4.88 | 251 861 |
Oct 16, 2023 | $4.87 | $4.92 | $4.87 | $4.91 | 200 565 |
Oct 13, 2023 | $4.86 | $4.88 | $4.81 | $4.83 | 156 578 |
Oct 12, 2023 | $4.96 | $4.97 | $4.87 | $4.90 | 184 595 |
Oct 11, 2023 | $4.96 | $4.99 | $4.93 | $4.97 | 136 398 |
Oct 10, 2023 | $4.89 | $4.94 | $4.86 | $4.87 | 344 699 |
Oct 09, 2023 | $4.75 | $4.81 | $4.73 | $4.81 | 138 958 |
Oct 06, 2023 | $4.78 | $4.86 | $4.75 | $4.86 | 155 013 |
Oct 05, 2023 | $4.81 | $4.82 | $4.77 | $4.82 | 160 946 |
Oct 04, 2023 | $4.79 | $4.83 | $4.77 | $4.82 | 307 268 |
Oct 03, 2023 | $4.81 | $4.81 | $4.76 | $4.78 | 219 686 |
Oct 02, 2023 | $4.86 | $4.89 | $4.81 | $4.82 | 318 340 |
Sep 29, 2023 | $4.91 | $4.92 | $4.85 | $4.87 | 121 107 |
Sep 28, 2023 | $4.77 | $4.86 | $4.75 | $4.85 | 437 613 |
Sep 27, 2023 | $4.88 | $4.89 | $4.82 | $4.85 | 260 711 |
Sep 26, 2023 | $4.91 | $4.94 | $4.89 | $4.90 | 732 466 |
Sep 25, 2023 | $5.07 | $5.11 | $5.05 | $5.11 | 197 504 |
Sep 22, 2023 | $5.15 | $5.19 | $5.12 | $5.15 | 192 224 |
Sep 21, 2023 | $5.13 | $5.18 | $5.11 | $5.13 | 164 730 |
Sep 20, 2023 | $5.24 | $5.28 | $5.19 | $5.20 | 258 000 |
Sep 19, 2023 | $5.09 | $5.12 | $5.09 | $5.11 | 320 098 |
Sep 18, 2023 | $5.05 | $5.06 | $5.02 | $5.04 | 313 637 |
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 POAHY stock historical prices to predict future price movements?
Trend Analysis: Examine the POAHY 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 POAHY 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.