NASDAQ:GERN
Geron Corporation Stock Price (Quote)
$3.81
-0.0900 (-2.31%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.36 | $4.30 | Friday, 17th May 2024 GERN stock ended at $3.81. This is 2.31% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.42% from a day low at $3.74 to a day high of $3.98. |
90 days | $1.64 | $4.30 | |
52 weeks | $1.64 | $4.30 |
Date | Open | High | Low | Close | Volume |
Feb 16, 2017 | $2.40 | $2.41 | $2.26 | $2.28 | 1 401 030 |
Feb 15, 2017 | $2.43 | $2.44 | $2.32 | $2.40 | 1 293 356 |
Feb 14, 2017 | $2.35 | $2.45 | $2.20 | $2.42 | 4 248 983 |
Feb 13, 2017 | $2.20 | $2.38 | $2.17 | $2.36 | 2 273 173 |
Feb 10, 2017 | $2.16 | $2.19 | $2.13 | $2.18 | 1 311 871 |
Feb 09, 2017 | $2.09 | $2.15 | $2.08 | $2.15 | 1 819 981 |
Feb 08, 2017 | $2.08 | $2.10 | $2.05 | $2.08 | 1 285 970 |
Feb 07, 2017 | $2.11 | $2.12 | $2.04 | $2.09 | 1 054 095 |
Feb 06, 2017 | $2.09 | $2.11 | $2.06 | $2.10 | 895 580 |
Feb 03, 2017 | $2.06 | $2.10 | $2.04 | $2.09 | 1 361 639 |
Feb 02, 2017 | $2.04 | $2.07 | $2.01 | $2.03 | 939 033 |
Feb 01, 2017 | $2.10 | $2.10 | $2.00 | $2.03 | 1 382 698 |
Jan 31, 2017 | $1.91 | $2.08 | $1.88 | $2.08 | 2 052 217 |
Jan 30, 2017 | $1.98 | $2.01 | $1.91 | $1.93 | 944 017 |
Jan 27, 2017 | $1.89 | $1.99 | $1.89 | $1.98 | 912 634 |
Jan 26, 2017 | $1.94 | $1.95 | $1.88 | $1.91 | 1 140 342 |
Jan 25, 2017 | $1.96 | $2.02 | $1.91 | $1.94 | 1 209 210 |
Jan 24, 2017 | $1.93 | $1.97 | $1.87 | $1.96 | 1 734 616 |
Jan 23, 2017 | $1.98 | $2.00 | $1.90 | $1.92 | 1 469 868 |
Jan 20, 2017 | $2.02 | $2.02 | $1.96 | $1.99 | 1 106 895 |
Jan 19, 2017 | $2.03 | $2.05 | $1.96 | $2.00 | 1 345 024 |
Jan 18, 2017 | $2.06 | $2.06 | $2.00 | $2.06 | 1 506 979 |
Jan 17, 2017 | $2.10 | $2.11 | $2.03 | $2.04 | 1 479 990 |
Jan 13, 2017 | $2.09 | $2.14 | $2.06 | $2.11 | 1 019 956 |
Jan 12, 2017 | $2.10 | $2.13 | $2.05 | $2.09 | 1 317 872 |
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 GERN stock historical prices to predict future price movements?
Trend Analysis: Examine the GERN 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 GERN 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.