NASDAQ:ORGO
Organogenesis Holdings Inc. Class A Stock Price (Quote)
$2.77
+0 (+0%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.17 | $3.14 | Tuesday, 21st May 2024 ORGO stock ended at $2.77. During the day the stock fluctuated 3.83% from a day low at $2.74 to a day high of $2.85. |
90 days | $2.17 | $3.65 | |
52 weeks | $1.96 | $4.71 |
Date | Open | High | Low | Close | Volume |
Sep 11, 2023 | $2.51 | $2.63 | $2.51 | $2.61 | 686 221 |
Sep 08, 2023 | $2.56 | $2.61 | $2.48 | $2.53 | 420 051 |
Sep 07, 2023 | $2.66 | $2.66 | $2.52 | $2.55 | 539 029 |
Sep 06, 2023 | $2.76 | $2.77 | $2.64 | $2.66 | 214 789 |
Sep 05, 2023 | $2.88 | $2.88 | $2.74 | $2.75 | 325 521 |
Sep 01, 2023 | $2.81 | $2.98 | $2.79 | $2.91 | 490 033 |
Aug 31, 2023 | $2.84 | $2.87 | $2.74 | $2.80 | 1 210 743 |
Aug 30, 2023 | $2.80 | $2.86 | $2.75 | $2.86 | 1 060 994 |
Aug 29, 2023 | $2.71 | $2.82 | $2.67 | $2.80 | 395 043 |
Aug 28, 2023 | $2.66 | $2.72 | $2.65 | $2.70 | 434 806 |
Aug 25, 2023 | $2.63 | $2.70 | $2.59 | $2.66 | 505 607 |
Aug 24, 2023 | $2.66 | $2.67 | $2.53 | $2.58 | 671 318 |
Aug 23, 2023 | $2.58 | $2.70 | $2.58 | $2.66 | 483 043 |
Aug 22, 2023 | $2.62 | $2.72 | $2.52 | $2.60 | 728 261 |
Aug 21, 2023 | $2.62 | $2.72 | $2.55 | $2.56 | 526 518 |
Aug 18, 2023 | $2.53 | $2.73 | $2.50 | $2.65 | 769 387 |
Aug 17, 2023 | $2.60 | $2.66 | $2.58 | $2.58 | 961 135 |
Aug 16, 2023 | $2.64 | $2.73 | $2.57 | $2.61 | 592 102 |
Aug 15, 2023 | $2.69 | $2.73 | $2.64 | $2.68 | 540 733 |
Aug 14, 2023 | $2.75 | $2.75 | $2.48 | $2.70 | 1 137 665 |
Aug 11, 2023 | $2.67 | $2.82 | $2.46 | $2.77 | 1 831 718 |
Aug 10, 2023 | $2.38 | $2.93 | $2.30 | $2.75 | 3 765 357 |
Aug 09, 2023 | $3.67 | $3.68 | $3.37 | $3.39 | 1 739 967 |
Aug 08, 2023 | $3.66 | $3.71 | $3.58 | $3.70 | 587 418 |
Aug 07, 2023 | $3.86 | $3.88 | $3.51 | $3.70 | 2 032 476 |
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 ORGO stock historical prices to predict future price movements?
Trend Analysis: Examine the ORGO 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 ORGO 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.