NASDAQ:GRID
First Trust NASDAQ Clean Edge Smart Grid ETF Price (Quote)
$120.90
+1.69 (+1.42%)
At Close: Jan 15, 2025
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $116.78 | $124.88 | Wednesday, 15th Jan 2025 GRID stock ended at $120.90. This is 1.42% more than the trading day before Tuesday, 14th Jan 2025. During the day the stock fluctuated 0.92% from a day low at $120.44 to a day high of $121.55. |
90 days | $116.78 | $127.84 | |
52 weeks | $98.28 | $129.02 |
Historical First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
Jan 15, 2025 | $121.55 | $121.55 | $120.44 | $120.90 | 194 568 |
Jan 14, 2025 | $119.31 | $119.63 | $118.56 | $119.21 | 196 598 |
Jan 13, 2025 | $117.23 | $118.42 | $116.78 | $118.42 | 134 326 |
Jan 10, 2025 | $119.53 | $119.53 | $118.24 | $118.73 | 141 358 |
Jan 08, 2025 | $121.04 | $121.04 | $119.77 | $120.87 | 238 316 |
Jan 07, 2025 | $122.74 | $123.30 | $121.09 | $121.44 | 142 488 |
Jan 06, 2025 | $122.46 | $123.41 | $122.14 | $122.35 | 146 056 |
Jan 03, 2025 | $119.79 | $121.05 | $119.75 | $120.99 | 165 741 |
Jan 02, 2025 | $120.18 | $120.19 | $118.69 | $119.15 | 315 306 |
Dec 31, 2024 | $120.18 | $120.18 | $118.97 | $119.34 | 122 479 |
Dec 30, 2024 | $119.40 | $120.07 | $118.59 | $119.61 | 120 448 |
Dec 27, 2024 | $120.82 | $121.14 | $119.90 | $120.54 | 96 422 |
Dec 26, 2024 | $120.89 | $121.98 | $120.89 | $121.61 | 68 928 |
Dec 24, 2024 | $120.79 | $121.95 | $120.62 | $121.95 | 58 590 |
Dec 23, 2024 | $120.25 | $120.81 | $119.89 | $120.79 | 526 444 |
Dec 20, 2024 | $118.70 | $121.45 | $118.65 | $120.51 | 106 118 |
Dec 19, 2024 | $120.08 | $120.68 | $119.14 | $119.35 | 212 331 |
Dec 18, 2024 | $123.93 | $124.25 | $119.52 | $119.52 | 214 025 |
Dec 17, 2024 | $124.51 | $124.51 | $123.41 | $123.64 | 138 679 |
Dec 16, 2024 | $124.45 | $124.88 | $123.91 | $124.58 | 120 652 |
Dec 13, 2024 | $124.65 | $124.71 | $123.85 | $124.21 | 72 494 |
Dec 12, 2024 | $125.55 | $125.56 | $124.58 | $124.61 | 72 237 |
Dec 11, 2024 | $125.53 | $126.15 | $124.74 | $125.89 | 168 534 |
Dec 10, 2024 | $125.18 | $125.18 | $124.19 | $124.34 | 155 115 |
Dec 09, 2024 | $127.22 | $127.22 | $125.45 | $125.55 | 272 525 |
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.