$3.94
-0.0500 (-1.25%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $2.98 | $4.60 | Wednesday, 3rd Jun 2026 SQNS stock ended at $3.94. This is 1.25% less than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 5.13% from a day low at $3.80 to a day high of $4.00. |
| 90 days | $2.38 | $4.60 | |
| 52 weeks | $2.38 | $58.00 |
Historical Sequans Communications SA prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $3.96 | $4.00 | $3.80 | $3.94 | 100 802 |
| Jun 02, 2026 | $4.14 | $4.16 | $3.80 | $3.99 | 296 339 |
| Jun 01, 2026 | $4.44 | $4.44 | $4.10 | $4.15 | 274 037 |
| May 29, 2026 | $4.48 | $4.59 | $4.31 | $4.45 | 352 534 |
| May 28, 2026 | $3.98 | $4.57 | $3.89 | $4.44 | 409 607 |
| May 27, 2026 | $3.97 | $3.97 | $3.75 | $3.88 | 145 410 |
| May 26, 2026 | $4.34 | $4.34 | $3.96 | $3.97 | 293 552 |
| May 22, 2026 | $4.50 | $4.60 | $4.12 | $4.20 | 384 744 |
| May 21, 2026 | $4.35 | $4.35 | $4.01 | $4.05 | 106 077 |
| May 20, 2026 | $4.23 | $4.54 | $4.07 | $4.30 | 269 439 |
| May 19, 2026 | $4.01 | $4.20 | $3.80 | $4.12 | 370 078 |
| May 18, 2026 | $4.18 | $4.20 | $3.80 | $4.05 | 687 792 |
| May 15, 2026 | $4.21 | $4.22 | $3.90 | $4.01 | 502 010 |
| May 14, 2026 | $3.85 | $4.36 | $3.70 | $4.22 | 642 854 |
| May 13, 2026 | $3.84 | $3.93 | $3.66 | $3.81 | 90 152 |
| May 12, 2026 | $3.95 | $3.95 | $3.69 | $3.78 | 89 897 |
| May 11, 2026 | $3.77 | $4.05 | $3.67 | $3.93 | 526 455 |
| May 08, 2026 | $3.37 | $3.47 | $3.21 | $3.46 | 119 827 |
| May 07, 2026 | $3.30 | $3.39 | $3.25 | $3.34 | 112 965 |
| May 06, 2026 | $3.48 | $3.48 | $3.29 | $3.37 | 216 417 |
| May 05, 2026 | $3.05 | $3.58 | $2.98 | $3.51 | 363 385 |
| May 04, 2026 | $3.48 | $3.76 | $3.47 | $3.52 | 343 862 |
| May 01, 2026 | $3.32 | $3.49 | $3.28 | $3.47 | 105 485 |
| Apr 30, 2026 | $3.35 | $3.42 | $3.20 | $3.28 | 91 182 |
| Apr 29, 2026 | $3.55 | $3.55 | $3.18 | $3.30 | 87 490 |
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 SQNS stock historical prices to predict future price movements?
Trend Analysis: Examine the SQNS 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 SQNS 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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