$0.0849
-0.0901 (-51.49%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0637 | $0.253 | Tuesday, 23rd Jun 2026 SGMO stock ended at $0.0849. This is 51.49% less than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 104.08% from a day low at $0.0637 to a day high of $0.130. |
| 90 days | $0.0637 | $0.408 | |
| 52 weeks | $0.0637 | $0.765 |
Historical Sangamo BioSciences prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $0.130 | $0.130 | $0.0637 | $0.0849 | 28 511 503 |
| Jun 22, 2026 | $0.180 | $0.185 | $0.171 | $0.175 | 606 940 |
| Jun 18, 2026 | $0.179 | $0.190 | $0.165 | $0.180 | 505 013 |
| Jun 17, 2026 | $0.170 | $0.183 | $0.168 | $0.179 | 813 279 |
| Jun 16, 2026 | $0.165 | $0.180 | $0.165 | $0.174 | 500 672 |
| Jun 15, 2026 | $0.152 | $0.192 | $0.152 | $0.165 | 636 934 |
| Jun 12, 2026 | $0.153 | $0.160 | $0.145 | $0.157 | 896 656 |
| Jun 11, 2026 | $0.142 | $0.155 | $0.136 | $0.150 | 1 111 519 |
| Jun 10, 2026 | $0.152 | $0.155 | $0.140 | $0.149 | 1 134 773 |
| Jun 09, 2026 | $0.171 | $0.185 | $0.131 | $0.145 | 2 597 980 |
| Jun 08, 2026 | $0.190 | $0.200 | $0.140 | $0.172 | 2 558 072 |
| Jun 05, 2026 | $0.205 | $0.220 | $0.189 | $0.220 | 794 371 |
| Jun 04, 2026 | $0.210 | $0.220 | $0.190 | $0.210 | 3 205 800 |
| Jun 03, 2026 | $0.215 | $0.230 | $0.214 | $0.216 | 655 831 |
| Jun 02, 2026 | $0.218 | $0.225 | $0.194 | $0.214 | 1 420 179 |
| Jun 01, 2026 | $0.221 | $0.249 | $0.210 | $0.210 | 1 093 013 |
| May 29, 2026 | $0.208 | $0.253 | $0.205 | $0.220 | 2 383 931 |
| May 28, 2026 | $0.207 | $0.210 | $0.193 | $0.208 | 527 573 |
| May 27, 2026 | $0.192 | $0.210 | $0.175 | $0.204 | 911 147 |
| May 26, 2026 | $0.172 | $0.225 | $0.172 | $0.185 | 2 900 530 |
| May 22, 2026 | $0.158 | $0.179 | $0.152 | $0.172 | 1 336 191 |
| May 21, 2026 | $0.140 | $0.160 | $0.135 | $0.156 | 921 785 |
| May 20, 2026 | $0.147 | $0.163 | $0.134 | $0.160 | 1 587 762 |
| May 19, 2026 | $0.128 | $0.150 | $0.115 | $0.149 | 1 926 474 |
| May 18, 2026 | $0.149 | $0.149 | $0.118 | $0.128 | 2 439 519 |
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 SGMO stock historical prices to predict future price movements?
Trend Analysis: Examine the SGMO 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 SGMO 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.
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