$3.88
+0 (+0%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $2.83 | $4.57 | Monday, 13th Jul 2026 QTRX stock ended at $3.88. During the day the stock fluctuated 6.56% from a day low at $3.81 to a day high of $4.06. |
| 90 days | $2.40 | $4.57 | |
| 52 weeks | $2.40 | $8.77 |
Historical Quanterix Corporation prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $3.81 | $4.06 | $3.81 | $3.88 | 286 903 |
| Jul 10, 2026 | $4.01 | $4.01 | $3.84 | $3.88 | 356 381 |
| Jul 09, 2026 | $3.90 | $4.08 | $3.83 | $3.98 | 461 833 |
| Jul 08, 2026 | $3.91 | $3.98 | $3.77 | $3.87 | 431 755 |
| Jul 07, 2026 | $4.29 | $4.43 | $3.97 | $4.00 | 503 787 |
| Jul 06, 2026 | $4.25 | $4.45 | $4.15 | $4.29 | 462 050 |
| Jul 02, 2026 | $4.35 | $4.44 | $4.22 | $4.33 | 456 081 |
| Jul 01, 2026 | $4.29 | $4.48 | $4.25 | $4.34 | 540 771 |
| Jun 30, 2026 | $4.48 | $4.50 | $4.12 | $4.32 | 947 297 |
| Jun 29, 2026 | $4.32 | $4.57 | $4.18 | $4.54 | 1 761 298 |
| Jun 26, 2026 | $3.76 | $4.37 | $3.71 | $4.32 | 3 600 622 |
| Jun 25, 2026 | $3.81 | $4.08 | $3.73 | $3.76 | 1 023 505 |
| Jun 24, 2026 | $3.26 | $3.79 | $3.25 | $3.78 | 1 622 233 |
| Jun 23, 2026 | $3.43 | $3.64 | $3.19 | $3.22 | 1 123 100 |
| Jun 22, 2026 | $3.40 | $3.54 | $3.18 | $3.49 | 1 407 897 |
| Jun 18, 2026 | $2.95 | $3.43 | $2.95 | $3.39 | 3 070 684 |
| Jun 17, 2026 | $3.07 | $3.22 | $2.83 | $2.88 | 1 405 853 |
| Jun 16, 2026 | $3.22 | $3.30 | $3.04 | $3.06 | 912 562 |
| Jun 15, 2026 | $3.26 | $3.26 | $3.08 | $3.10 | 1 050 016 |
| Jun 12, 2026 | $3.03 | $3.17 | $2.98 | $3.10 | 702 958 |
| Jun 11, 2026 | $3.07 | $3.15 | $3.00 | $3.03 | 627 302 |
| Jun 10, 2026 | $3.07 | $3.21 | $2.96 | $3.07 | 703 253 |
| Jun 09, 2026 | $3.13 | $3.26 | $2.91 | $3.09 | 817 453 |
| Jun 08, 2026 | $3.37 | $3.43 | $3.11 | $3.13 | 600 013 |
| Jun 05, 2026 | $3.80 | $3.86 | $3.28 | $3.30 | 927 640 |
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 QTRX stock historical prices to predict future price movements?
Trend Analysis: Examine the QTRX 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 QTRX 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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