NYSE:PAM
Pampa Energia SA Stock Price (Quote)
$48.31
-0.480 (-0.98%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $40.88 | $51.32 | Thursday, 16th May 2024 PAM stock ended at $48.31. This is 0.98% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 2.43% from a day low at $47.85 to a day high of $49.01. |
90 days | $38.18 | $51.32 | |
52 weeks | $32.91 | $52.17 |
Date | Open | High | Low | Close | Volume |
Oct 11, 2023 | $39.64 | $41.07 | $38.80 | $40.94 | 202 564 |
Oct 10, 2023 | $39.09 | $40.22 | $38.67 | $39.59 | 222 983 |
Oct 09, 2023 | $37.43 | $38.67 | $37.26 | $38.48 | 110 092 |
Oct 06, 2023 | $36.63 | $38.01 | $36.05 | $37.54 | 164 452 |
Oct 05, 2023 | $36.14 | $37.28 | $35.37 | $36.94 | 123 565 |
Oct 04, 2023 | $35.95 | $36.49 | $35.35 | $36.43 | 159 919 |
Oct 03, 2023 | $37.30 | $37.44 | $35.86 | $36.19 | 229 941 |
Oct 02, 2023 | $37.20 | $37.77 | $36.63 | $37.03 | 189 697 |
Sep 29, 2023 | $38.93 | $39.08 | $37.10 | $37.36 | 103 219 |
Sep 28, 2023 | $38.45 | $39.41 | $38.45 | $38.77 | 146 990 |
Sep 27, 2023 | $38.66 | $39.72 | $38.40 | $39.05 | 155 096 |
Sep 26, 2023 | $38.98 | $39.77 | $38.10 | $38.51 | 156 657 |
Sep 25, 2023 | $40.01 | $40.20 | $38.67 | $39.00 | 104 622 |
Sep 22, 2023 | $40.28 | $41.06 | $39.64 | $40.11 | 110 978 |
Sep 21, 2023 | $40.54 | $41.64 | $39.89 | $40.16 | 214 405 |
Sep 20, 2023 | $41.62 | $41.79 | $40.20 | $40.33 | 63 276 |
Sep 19, 2023 | $42.31 | $42.84 | $41.26 | $41.48 | 74 022 |
Sep 18, 2023 | $40.54 | $42.30 | $40.50 | $42.10 | 105 423 |
Sep 15, 2023 | $41.41 | $41.34 | $40.35 | $40.44 | 101 666 |
Sep 14, 2023 | $41.17 | $41.89 | $40.58 | $41.41 | 126 169 |
Sep 13, 2023 | $39.70 | $41.28 | $39.11 | $40.74 | 151 465 |
Sep 12, 2023 | $37.56 | $40.49 | $37.56 | $39.92 | 184 096 |
Sep 11, 2023 | $39.23 | $39.68 | $37.27 | $37.86 | 273 258 |
Sep 08, 2023 | $40.84 | $41.83 | $38.60 | $38.84 | 346 640 |
Sep 07, 2023 | $41.88 | $42.12 | $40.46 | $40.83 | 238 879 |
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 PAM stock historical prices to predict future price movements?
Trend Analysis: Examine the PAM 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 PAM 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.