NYSE:SENS
Senseonics Stock Price (Quote)
$0.430
-0.0021 (-0.486%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.417 | $0.526 | Friday, 31st May 2024 SENS stock ended at $0.430. This is 0.486% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.12% from a day low at $0.426 to a day high of $0.439. |
90 days | $0.384 | $0.640 | |
52 weeks | $0.384 | $1.05 |
Historical Senseonics Holdings Inc prices
Date | Open | High | Low | Close | Volume |
Jul 24, 2017 | $2.43 | $2.43 | $2.25 | $2.26 | 495 163 |
Jul 21, 2017 | $2.43 | $2.55 | $2.25 | $2.36 | 1 570 539 |
Jul 20, 2017 | $2.28 | $2.41 | $2.23 | $2.41 | 844 040 |
Jul 19, 2017 | $2.10 | $2.38 | $2.09 | $2.28 | 750 135 |
Jul 18, 2017 | $2.19 | $2.20 | $2.08 | $2.11 | 267 979 |
Jul 17, 2017 | $2.28 | $2.28 | $2.13 | $2.18 | 385 189 |
Jul 14, 2017 | $2.17 | $2.25 | $2.09 | $2.22 | 1 120 300 |
Jul 13, 2017 | $2.21 | $2.24 | $2.00 | $2.19 | 1 022 067 |
Jul 12, 2017 | $1.88 | $2.16 | $1.81 | $2.15 | 1 200 417 |
Jul 11, 2017 | $1.83 | $1.86 | $1.77 | $1.85 | 226 339 |
Jul 10, 2017 | $1.91 | $1.91 | $1.80 | $1.83 | 182 491 |
Jul 07, 2017 | $1.88 | $1.98 | $1.85 | $1.90 | 356 866 |
Jul 06, 2017 | $1.79 | $1.89 | $1.77 | $1.87 | 217 673 |
Jul 05, 2017 | $1.80 | $1.83 | $1.68 | $1.79 | 523 102 |
Jul 03, 2017 | $1.83 | $1.85 | $1.75 | $1.80 | 170 698 |
Jun 30, 2017 | $1.83 | $1.85 | $1.78 | $1.80 | 265 273 |
Jun 29, 2017 | $1.84 | $1.85 | $1.75 | $1.81 | 478 829 |
Jun 28, 2017 | $1.81 | $1.92 | $1.75 | $1.84 | 1 068 626 |
Jun 27, 2017 | $1.82 | $1.90 | $1.78 | $1.78 | 361 108 |
Jun 26, 2017 | $1.94 | $2.09 | $1.77 | $1.83 | 818 176 |
Jun 23, 2017 | $2.01 | $2.07 | $1.90 | $1.91 | 2 770 591 |
Jun 22, 2017 | $1.80 | $2.07 | $1.72 | $2.01 | 1 135 763 |
Jun 21, 2017 | $1.56 | $1.81 | $1.50 | $1.79 | 983 520 |
Jun 20, 2017 | $1.50 | $1.62 | $1.45 | $1.57 | 524 346 |
Jun 19, 2017 | $1.45 | $1.55 | $1.36 | $1.52 | 1 760 341 |
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 SENS stock historical prices to predict future price movements?
Trend Analysis: Examine the SENS 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 SENS 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.