NASDAQ:GNMX
Delisted
Medgenics Inc Stock Price (Quote)
$0.166
+0 (+0%)
At Close: Apr 15, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.166 | $0.166 | Wednesday, 15th Apr 2020 GNMX stock ended at $0.166. During the day the stock fluctuated 0% from a day low at $0.166 to a day high of $0.166. |
90 days | $0.150 | $0.290 | |
52 weeks | $0.110 | $0.347 |
Date | Open | High | Low | Close | Volume |
Jun 28, 2019 | $0.175 | $0.180 | $0.160 | $0.160 | 357 999 |
Jun 27, 2019 | $0.186 | $0.186 | $0.175 | $0.175 | 226 887 |
Jun 26, 2019 | $0.180 | $0.185 | $0.175 | $0.185 | 367 293 |
Jun 25, 2019 | $0.189 | $0.197 | $0.168 | $0.172 | 375 296 |
Jun 24, 2019 | $0.198 | $0.199 | $0.186 | $0.190 | 244 967 |
Jun 21, 2019 | $0.190 | $0.198 | $0.185 | $0.197 | 149 600 |
Jun 20, 2019 | $0.205 | $0.210 | $0.181 | $0.190 | 347 215 |
Jun 19, 2019 | $0.188 | $0.215 | $0.184 | $0.195 | 1 229 145 |
Jun 18, 2019 | $0.185 | $0.186 | $0.180 | $0.182 | 448 903 |
Jun 17, 2019 | $0.180 | $0.184 | $0.170 | $0.179 | 424 264 |
Jun 14, 2019 | $0.175 | $0.182 | $0.170 | $0.176 | 643 793 |
Jun 13, 2019 | $0.177 | $0.177 | $0.171 | $0.175 | 344 811 |
Jun 12, 2019 | $0.174 | $0.178 | $0.165 | $0.170 | 431 179 |
Jun 11, 2019 | $0.172 | $0.178 | $0.165 | $0.167 | 384 844 |
Jun 10, 2019 | $0.175 | $0.175 | $0.163 | $0.165 | 397 793 |
Jun 07, 2019 | $0.166 | $0.175 | $0.160 | $0.170 | 756 168 |
Jun 06, 2019 | $0.170 | $0.172 | $0.155 | $0.158 | 683 475 |
Jun 05, 2019 | $0.180 | $0.180 | $0.161 | $0.166 | 614 081 |
Jun 04, 2019 | $0.180 | $0.184 | $0.171 | $0.177 | 366 073 |
Jun 03, 2019 | $0.190 | $0.190 | $0.150 | $0.182 | 1 068 724 |
May 31, 2019 | $0.199 | $0.199 | $0.185 | $0.186 | 364 890 |
May 30, 2019 | $0.205 | $0.205 | $0.190 | $0.193 | 1 169 360 |
May 29, 2019 | $0.191 | $0.219 | $0.190 | $0.204 | 1 038 585 |
May 28, 2019 | $0.199 | $0.204 | $0.190 | $0.200 | 243 465 |
May 24, 2019 | $0.200 | $0.205 | $0.186 | $0.203 | 313 827 |
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 GNMX stock historical prices to predict future price movements?
Trend Analysis: Examine the GNMX 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 GNMX 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.