NASDAQ:ORGN
Origin Materials, Inc. Stock Price (Quote)
$0.97
+0.0511 (+5.58%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.554 | $1.31 | Friday, 17th May 2024 ORGN stock ended at $0.97. This is 5.58% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 9.63% from a day low at $0.89 to a day high of $0.98. |
90 days | $0.442 | $1.31 | |
52 weeks | $0.442 | $5.04 |
Date | Open | High | Low | Close | Volume |
Oct 12, 2023 | $1.20 | $1.22 | $1.08 | $1.12 | 2 128 787 |
Oct 11, 2023 | $1.09 | $1.28 | $1.09 | $1.17 | 4 126 499 |
Oct 10, 2023 | $0.88 | $1.01 | $0.88 | $0.97 | 2 824 496 |
Oct 09, 2023 | $1.11 | $1.16 | $0.86 | $0.89 | 5 947 832 |
Oct 06, 2023 | $1.11 | $1.16 | $1.10 | $1.12 | 928 967 |
Oct 05, 2023 | $1.13 | $1.16 | $1.09 | $1.13 | 1 026 783 |
Oct 04, 2023 | $1.15 | $1.15 | $1.09 | $1.13 | 1 586 624 |
Oct 03, 2023 | $1.18 | $1.22 | $1.13 | $1.15 | 1 288 070 |
Oct 02, 2023 | $1.28 | $1.29 | $1.14 | $1.17 | 2 501 182 |
Sep 29, 2023 | $1.27 | $1.32 | $1.26 | $1.28 | 1 005 142 |
Sep 28, 2023 | $1.32 | $1.35 | $1.25 | $1.26 | 1 460 912 |
Sep 27, 2023 | $1.35 | $1.39 | $1.30 | $1.32 | 1 043 677 |
Sep 26, 2023 | $1.34 | $1.40 | $1.31 | $1.34 | 755 261 |
Sep 25, 2023 | $1.33 | $1.38 | $1.31 | $1.35 | 825 923 |
Sep 22, 2023 | $1.38 | $1.38 | $1.30 | $1.35 | 1 129 661 |
Sep 21, 2023 | $1.36 | $1.40 | $1.35 | $1.36 | 955 904 |
Sep 20, 2023 | $1.41 | $1.43 | $1.36 | $1.37 | 930 765 |
Sep 19, 2023 | $1.45 | $1.46 | $1.38 | $1.41 | 863 003 |
Sep 18, 2023 | $1.46 | $1.51 | $1.45 | $1.46 | 1 045 335 |
Sep 15, 2023 | $1.49 | $1.55 | $1.46 | $1.47 | 1 861 513 |
Sep 14, 2023 | $1.43 | $1.52 | $1.41 | $1.50 | 903 816 |
Sep 13, 2023 | $1.49 | $1.49 | $1.39 | $1.43 | 1 129 416 |
Sep 12, 2023 | $1.52 | $1.52 | $1.44 | $1.49 | 1 169 576 |
Sep 11, 2023 | $1.50 | $1.58 | $1.46 | $1.54 | 2 982 008 |
Sep 08, 2023 | $1.41 | $1.50 | $1.40 | $1.50 | 1 605 684 |
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 ORGN stock historical prices to predict future price movements?
Trend Analysis: Examine the ORGN 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 ORGN 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.