$1.88
-0.0100 (-0.529%)
At Close: Jun 22, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $1.35 | $1.98 | Monday, 22nd Jun 2026 PRQR stock ended at $1.88. This is 0.529% less than the trading day before Thursday, 18th Jun 2026. During the day the stock fluctuated 5.61% from a day low at $1.87 to a day high of $1.98. |
| 90 days | $1.35 | $2.15 | |
| 52 weeks | $1.34 | $3.10 |
Historical ProQR Therapeutics N.V. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 22, 2026 | $1.89 | $1.98 | $1.87 | $1.88 | 614 442 |
| Jun 18, 2026 | $1.67 | $1.97 | $1.67 | $1.89 | 1 095 486 |
| Jun 17, 2026 | $1.51 | $1.71 | $1.51 | $1.67 | 911 937 |
| Jun 16, 2026 | $1.57 | $1.57 | $1.48 | $1.52 | 204 125 |
| Jun 15, 2026 | $1.46 | $1.59 | $1.44 | $1.56 | 719 402 |
| Jun 12, 2026 | $1.52 | $1.52 | $1.43 | $1.44 | 315 898 |
| Jun 11, 2026 | $1.41 | $1.46 | $1.39 | $1.44 | 346 051 |
| Jun 10, 2026 | $1.45 | $1.50 | $1.38 | $1.41 | 466 190 |
| Jun 09, 2026 | $1.55 | $1.58 | $1.42 | $1.47 | 476 826 |
| Jun 08, 2026 | $1.50 | $1.55 | $1.50 | $1.53 | 387 040 |
| Jun 05, 2026 | $1.53 | $1.55 | $1.48 | $1.50 | 449 681 |
| Jun 04, 2026 | $1.49 | $1.57 | $1.48 | $1.53 | 545 400 |
| Jun 03, 2026 | $1.45 | $1.54 | $1.43 | $1.47 | 659 137 |
| Jun 02, 2026 | $1.44 | $1.50 | $1.35 | $1.47 | 1 132 089 |
| Jun 01, 2026 | $1.59 | $1.59 | $1.42 | $1.42 | 782 557 |
| May 29, 2026 | $1.62 | $1.62 | $1.55 | $1.58 | 684 580 |
| May 28, 2026 | $1.56 | $1.60 | $1.54 | $1.57 | 167 729 |
| May 27, 2026 | $1.57 | $1.63 | $1.55 | $1.56 | 231 499 |
| May 26, 2026 | $1.59 | $1.64 | $1.54 | $1.57 | 440 637 |
| May 22, 2026 | $1.45 | $1.57 | $1.45 | $1.56 | 551 635 |
| May 21, 2026 | $1.42 | $1.47 | $1.42 | $1.44 | 776 483 |
| May 20, 2026 | $1.45 | $1.54 | $1.40 | $1.43 | 1 252 712 |
| May 19, 2026 | $1.50 | $1.52 | $1.43 | $1.43 | 414 402 |
| May 18, 2026 | $1.61 | $1.64 | $1.49 | $1.51 | 503 018 |
| May 15, 2026 | $1.62 | $1.65 | $1.57 | $1.59 | 408 315 |
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 PRQR stock historical prices to predict future price movements?
Trend Analysis: Examine the PRQR 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 PRQR 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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