NASDAQ:OPGN
OpGen, Inc. Stock Price (Quote)
$0.439
-0.0026 (-0.588%)
At Close: May 15, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.390 | $0.680 | Wednesday, 15th May 2024 OPGN stock ended at $0.439. This is 0.588% less than the trading day before Tuesday, 14th May 2024. During the day the stock fluctuated 8.92% from a day low at $0.421 to a day high of $0.459. |
90 days | $0.390 | $0.99 | |
52 weeks | $0.165 | $3.84 |
Date | Open | High | Low | Close | Volume |
Mar 07, 2023 | $1.04 | $1.05 | $0.97 | $0.99 | 285 311 |
Mar 06, 2023 | $1.11 | $1.11 | $1.02 | $1.03 | 181 316 |
Mar 03, 2023 | $1.09 | $1.13 | $1.07 | $1.10 | 117 426 |
Mar 02, 2023 | $1.07 | $1.13 | $1.06 | $1.10 | 274 074 |
Mar 01, 2023 | $1.05 | $1.06 | $1.03 | $1.06 | 110 437 |
Feb 28, 2023 | $1.00 | $1.05 | $1.00 | $1.04 | 116 761 |
Feb 27, 2023 | $1.02 | $1.05 | $1.01 | $1.02 | 172 933 |
Feb 24, 2023 | $1.01 | $1.05 | $1.01 | $1.03 | 182 423 |
Feb 23, 2023 | $1.14 | $1.15 | $0.99 | $1.02 | 372 005 |
Feb 22, 2023 | $1.20 | $1.22 | $1.13 | $1.13 | 186 143 |
Feb 21, 2023 | $1.18 | $1.29 | $1.17 | $1.19 | 397 733 |
Feb 17, 2023 | $1.17 | $1.21 | $1.11 | $1.18 | 205 784 |
Feb 16, 2023 | $1.11 | $1.17 | $1.10 | $1.16 | 398 109 |
Feb 15, 2023 | $1.19 | $1.30 | $0.98 | $1.08 | 1 523 263 |
Feb 14, 2023 | $1.21 | $1.26 | $1.11 | $1.17 | 203 858 |
Feb 13, 2023 | $1.44 | $1.44 | $1.11 | $1.20 | 560 022 |
Feb 10, 2023 | $1.61 | $1.61 | $1.40 | $1.41 | 363 729 |
Feb 09, 2023 | $1.79 | $1.80 | $1.53 | $1.56 | 587 428 |
Feb 08, 2023 | $1.78 | $1.85 | $1.71 | $1.77 | 583 549 |
Feb 07, 2023 | $1.85 | $2.05 | $1.71 | $1.80 | 1 322 196 |
Feb 06, 2023 | $1.76 | $1.98 | $1.69 | $1.83 | 1 412 608 |
Feb 03, 2023 | $1.80 | $2.07 | $1.66 | $1.74 | 1 050 310 |
Feb 02, 2023 | $1.82 | $1.86 | $1.76 | $1.81 | 127 726 |
Feb 01, 2023 | $1.81 | $1.84 | $1.72 | $1.82 | 119 006 |
Jan 31, 2023 | $1.77 | $1.85 | $1.76 | $1.82 | 132 877 |
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 OPGN stock historical prices to predict future price movements?
Trend Analysis: Examine the OPGN 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 OPGN 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.