$7.31
-0.590 (-7.47%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $7.30 | $8.95 | Wednesday, 3rd Jun 2026 PANL stock ended at $7.31. This is 7.47% less than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 8.90% from a day low at $7.30 to a day high of $7.95. |
| 90 days | $6.59 | $9.13 | |
| 52 weeks | $4.48 | $9.39 |
Historical Pangaea Logistics Solutions Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $7.95 | $7.95 | $7.30 | $7.31 | 590 409 |
| Jun 02, 2026 | $7.69 | $8.12 | $7.60 | $7.90 | 1 471 563 |
| Jun 01, 2026 | $7.45 | $7.67 | $7.42 | $7.64 | 611 085 |
| May 29, 2026 | $7.58 | $7.70 | $7.48 | $7.57 | 560 973 |
| May 28, 2026 | $8.04 | $8.19 | $7.63 | $7.68 | 945 889 |
| May 27, 2026 | $8.38 | $8.40 | $8.10 | $8.14 | 605 599 |
| May 26, 2026 | $8.25 | $8.43 | $8.09 | $8.37 | 845 318 |
| May 22, 2026 | $8.28 | $8.30 | $8.02 | $8.02 | 453 316 |
| May 21, 2026 | $8.18 | $8.30 | $8.05 | $8.28 | 594 562 |
| May 20, 2026 | $8.17 | $8.37 | $8.11 | $8.20 | 494 660 |
| May 19, 2026 | $7.99 | $8.20 | $7.77 | $8.16 | 669 877 |
| May 18, 2026 | $8.18 | $8.30 | $7.85 | $7.92 | 937 217 |
| May 15, 2026 | $8.21 | $8.48 | $8.08 | $8.19 | 1 205 144 |
| May 14, 2026 | $8.38 | $8.46 | $8.04 | $8.27 | 718 168 |
| May 13, 2026 | $8.70 | $8.95 | $7.87 | $8.26 | 1 028 568 |
| May 12, 2026 | $8.23 | $8.66 | $7.58 | $8.64 | 1 489 574 |
| May 11, 2026 | $7.94 | $7.94 | $7.65 | $7.69 | 506 309 |
| May 08, 2026 | $7.95 | $7.95 | $7.76 | $7.84 | 395 509 |
| May 07, 2026 | $7.85 | $7.93 | $7.80 | $7.87 | 452 884 |
| May 06, 2026 | $8.05 | $8.05 | $7.72 | $7.82 | 426 926 |
| May 05, 2026 | $7.55 | $7.97 | $7.54 | $7.93 | 447 087 |
| May 04, 2026 | $7.59 | $7.72 | $7.41 | $7.47 | 330 040 |
| May 01, 2026 | $7.67 | $7.76 | $7.49 | $7.72 | 541 243 |
| Apr 30, 2026 | $7.60 | $7.74 | $7.51 | $7.66 | 336 621 |
| Apr 29, 2026 | $7.65 | $7.67 | $7.48 | $7.60 | 300 253 |
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 PANL stock historical prices to predict future price movements?
Trend Analysis: Examine the PANL 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 PANL 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.
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