$5.97
-0.240 (-3.86%)
At Close: Nov 17, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $5.76 | $8.24 | Monday, 17th Nov 2025 SQNS stock ended at $5.97. This is 3.86% less than the trading day before Friday, 14th Nov 2025. During the day the stock fluctuated 7.08% from a day low at $5.93 to a day high of $6.35. |
| 90 days | $5.76 | $11.40 | |
| 52 weeks | $5.76 | $58.00 |
Historical Sequans Communications SA prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 17, 2025 | $6.13 | $6.35 | $5.93 | $5.97 | 240 531 |
| Nov 14, 2025 | $5.87 | $6.70 | $5.87 | $6.21 | 271 931 |
| Nov 13, 2025 | $6.53 | $6.78 | $6.35 | $6.42 | 212 686 |
| Nov 12, 2025 | $6.31 | $6.64 | $6.24 | $6.53 | 313 323 |
| Nov 11, 2025 | $6.62 | $6.73 | $6.34 | $6.36 | 282 177 |
| Nov 10, 2025 | $6.52 | $6.58 | $6.30 | $6.51 | 379 012 |
| Nov 07, 2025 | $5.80 | $6.47 | $5.76 | $6.29 | 240 070 |
| Nov 06, 2025 | $6.21 | $6.22 | $5.82 | $5.88 | 590 566 |
| Nov 05, 2025 | $6.05 | $6.52 | $5.83 | $6.21 | 406 481 |
| Nov 04, 2025 | $6.44 | $6.85 | $5.86 | $5.92 | 1 292 514 |
| Nov 03, 2025 | $7.30 | $7.30 | $6.97 | $7.10 | 326 231 |
| Oct 31, 2025 | $7.56 | $7.93 | $7.30 | $7.34 | 427 828 |
| Oct 30, 2025 | $7.45 | $8.13 | $7.30 | $7.61 | 347 300 |
| Oct 29, 2025 | $8.00 | $8.10 | $7.35 | $7.71 | 343 268 |
| Oct 28, 2025 | $7.36 | $8.24 | $7.11 | $7.83 | 1 050 477 |
| Oct 27, 2025 | $7.14 | $7.60 | $6.94 | $7.48 | 638 858 |
| Oct 24, 2025 | $7.22 | $7.30 | $6.96 | $7.07 | 187 901 |
| Oct 23, 2025 | $7.55 | $7.55 | $6.95 | $7.01 | 343 247 |
| Oct 22, 2025 | $7.56 | $7.56 | $6.88 | $7.28 | 239 052 |
| Oct 21, 2025 | $7.75 | $7.91 | $7.51 | $7.65 | 126 014 |
| Oct 20, 2025 | $7.50 | $7.95 | $7.50 | $7.91 | 95 132 |
| Oct 17, 2025 | $7.70 | $7.74 | $7.35 | $7.45 | 140 649 |
| Oct 16, 2025 | $8.16 | $8.16 | $7.66 | $7.75 | 281 728 |
| Oct 15, 2025 | $8.37 | $8.50 | $7.87 | $7.97 | 252 510 |
| Oct 14, 2025 | $8.57 | $8.85 | $8.43 | $8.57 | 147 041 |
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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