NASDAQ:SONM
Sonim Technologies Inc. Stock Price (Quote)
$0.510
+0.0060 (+1.19%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.440 | $0.619 | Friday, 17th May 2024 SONM stock ended at $0.510. This is 1.19% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.96% from a day low at $0.500 to a day high of $0.520. |
90 days | $0.440 | $0.740 | |
52 weeks | $0.440 | $1.30 |
Date | Open | High | Low | Close | Volume |
Jun 27, 2023 | $1.10 | $1.15 | $1.10 | $1.14 | 89 684 |
Jun 26, 2023 | $1.16 | $1.24 | $1.10 | $1.15 | 1 111 702 |
Jun 23, 2023 | $1.16 | $1.19 | $1.12 | $1.18 | 197 217 |
Jun 22, 2023 | $1.19 | $1.19 | $1.10 | $1.16 | 148 964 |
Jun 21, 2023 | $1.13 | $1.30 | $1.10 | $1.16 | 2 899 337 |
Jun 20, 2023 | $1.14 | $1.17 | $1.02 | $1.16 | 311 756 |
Jun 16, 2023 | $1.00 | $1.17 | $1.00 | $1.17 | 297 027 |
Jun 15, 2023 | $1.05 | $1.08 | $0.98 | $1.02 | 195 665 |
Jun 14, 2023 | $1.09 | $1.11 | $1.04 | $1.05 | 84 896 |
Jun 13, 2023 | $1.18 | $1.18 | $1.09 | $1.10 | 186 972 |
Jun 12, 2023 | $1.12 | $1.21 | $1.12 | $1.16 | 308 519 |
Jun 09, 2023 | $1.18 | $1.19 | $1.12 | $1.12 | 52 697 |
Jun 08, 2023 | $1.18 | $1.21 | $1.14 | $1.20 | 97 821 |
Jun 07, 2023 | $1.17 | $1.22 | $1.13 | $1.13 | 96 185 |
Jun 06, 2023 | $1.17 | $1.22 | $1.13 | $1.21 | 192 451 |
Jun 05, 2023 | $1.03 | $1.16 | $1.03 | $1.16 | 211 332 |
Jun 02, 2023 | $1.04 | $1.04 | $0.97 | $1.04 | 118 167 |
Jun 01, 2023 | $1.05 | $1.05 | $1.03 | $1.03 | 48 891 |
May 31, 2023 | $1.05 | $1.06 | $1.02 | $1.03 | 46 436 |
May 30, 2023 | $0.99 | $1.06 | $0.99 | $1.05 | 40 027 |
May 26, 2023 | $0.97 | $1.00 | $0.96 | $0.96 | 27 910 |
May 25, 2023 | $1.04 | $1.06 | $0.95 | $0.96 | 108 567 |
May 24, 2023 | $1.04 | $1.08 | $1.04 | $1.07 | 111 637 |
May 23, 2023 | $1.08 | $1.10 | $1.04 | $1.04 | 98 097 |
May 22, 2023 | $1.05 | $1.10 | $1.05 | $1.09 | 212 973 |
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 SONM stock historical prices to predict future price movements?
Trend Analysis: Examine the SONM 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 SONM 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.