$197.14
-0.340 (-0.172%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $182.75 | $199.99 | Wednesday, 3rd Jun 2026 GRID stock ended at $197.14. This is 0.172% less than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 1.41% from a day low at $196.01 to a day high of $198.78. |
| 90 days | $156.74 | $199.99 | |
| 52 weeks | $129.99 | $199.99 |
Historical First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $197.37 | $198.78 | $196.01 | $197.14 | 643 126 |
| Jun 02, 2026 | $194.58 | $197.60 | $194.58 | $197.48 | 649 005 |
| Jun 01, 2026 | $192.09 | $194.12 | $191.24 | $193.37 | 822 724 |
| May 29, 2026 | $193.30 | $194.16 | $192.14 | $193.07 | 728 647 |
| May 28, 2026 | $193.00 | $194.80 | $191.59 | $193.88 | 593 899 |
| May 27, 2026 | $195.26 | $195.27 | $192.87 | $194.20 | 1 040 379 |
| May 26, 2026 | $196.30 | $197.57 | $195.77 | $197.02 | 664 804 |
| May 22, 2026 | $192.84 | $193.90 | $191.49 | $192.50 | 514 547 |
| May 21, 2026 | $188.34 | $191.77 | $188.20 | $190.98 | 872 238 |
| May 20, 2026 | $186.07 | $189.01 | $185.73 | $188.49 | 2 541 353 |
| May 19, 2026 | $184.66 | $186.69 | $182.75 | $185.01 | 582 510 |
| May 18, 2026 | $192.32 | $192.99 | $187.06 | $189.22 | 707 899 |
| May 15, 2026 | $191.17 | $192.44 | $190.02 | $191.78 | 758 185 |
| May 14, 2026 | $196.72 | $197.80 | $196.06 | $197.33 | 497 324 |
| May 13, 2026 | $195.96 | $197.76 | $195.01 | $197.26 | 937 527 |
| May 12, 2026 | $196.63 | $196.63 | $192.65 | $195.13 | 882 468 |
| May 11, 2026 | $196.29 | $199.99 | $196.09 | $199.80 | 1 030 372 |
| May 08, 2026 | $196.14 | $197.50 | $196.02 | $197.22 | 982 004 |
| May 07, 2026 | $199.00 | $199.03 | $192.38 | $192.87 | 1 273 081 |
| May 06, 2026 | $196.65 | $198.00 | $194.93 | $197.73 | 1 381 313 |
| May 05, 2026 | $191.71 | $194.21 | $191.06 | $193.49 | 552 935 |
| May 04, 2026 | $190.96 | $192.38 | $188.74 | $189.84 | 569 299 |
| May 01, 2026 | $192.32 | $192.50 | $191.14 | $191.14 | 374 752 |
| Apr 30, 2026 | $187.89 | $191.18 | $187.57 | $190.99 | 935 974 |
| Apr 29, 2026 | $185.58 | $185.81 | $183.49 | $184.29 | 485 514 |
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 GRID stock historical prices to predict future price movements?
Trend Analysis: Examine the GRID 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 GRID 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.
Sign In
Buy GRID