$61.99
+0.420 (+0.682%)
At Close: Jun 18, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $59.34 | $62.94 | Thursday, 18th Jun 2026 IFRA stock ended at $61.99. This is 0.682% more than the trading day before Wednesday, 17th Jun 2026. During the day the stock fluctuated 1.07% from a day low at $61.87 to a day high of $62.53. |
| 90 days | $55.00 | $63.24 | |
| 52 weeks | $47.61 | $63.24 |
Historical iShares U.S. Infrastructure ETF prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 18, 2026 | $62.09 | $62.53 | $61.87 | $61.99 | 2 538 954 |
| Jun 17, 2026 | $62.48 | $62.54 | $61.41 | $61.57 | 351 225 |
| Jun 16, 2026 | $62.33 | $62.94 | $62.32 | $62.32 | 272 978 |
| Jun 15, 2026 | $62.52 | $62.52 | $62.07 | $62.14 | 235 261 |
| Jun 12, 2026 | $61.44 | $62.19 | $61.44 | $62.05 | 215 119 |
| Jun 11, 2026 | $60.54 | $61.45 | $60.51 | $61.26 | 291 972 |
| Jun 10, 2026 | $61.03 | $61.17 | $60.01 | $60.01 | 214 045 |
| Jun 09, 2026 | $60.94 | $61.34 | $60.28 | $61.15 | 247 810 |
| Jun 08, 2026 | $61.61 | $61.61 | $60.54 | $60.63 | 190 688 |
| Jun 05, 2026 | $61.57 | $61.85 | $61.11 | $61.28 | 0 |
| Jun 04, 2026 | $61.28 | $61.68 | $61.07 | $61.68 | 176 611 |
| Jun 03, 2026 | $61.13 | $61.84 | $60.96 | $61.20 | 196 272 |
| Jun 02, 2026 | $60.78 | $61.11 | $60.00 | $61.08 | 203 943 |
| Jun 01, 2026 | $60.59 | $60.59 | $59.83 | $60.00 | 223 862 |
| May 29, 2026 | $61.25 | $61.39 | $60.76 | $60.92 | 261 751 |
| May 28, 2026 | $61.79 | $61.79 | $61.07 | $61.27 | 551 256 |
| May 27, 2026 | $61.90 | $62.05 | $61.52 | $61.88 | 203 630 |
| May 26, 2026 | $61.31 | $61.86 | $61.25 | $61.74 | 176 754 |
| May 22, 2026 | $60.72 | $61.09 | $60.39 | $60.94 | 259 489 |
| May 21, 2026 | $60.14 | $60.59 | $59.99 | $60.50 | 375 361 |
| May 20, 2026 | $60.17 | $60.51 | $60.16 | $60.25 | 275 457 |
| May 19, 2026 | $59.38 | $60.25 | $59.34 | $59.89 | 232 927 |
| May 18, 2026 | $60.85 | $60.85 | $59.92 | $60.20 | 158 099 |
| May 15, 2026 | $61.29 | $61.30 | $60.48 | $60.59 | 165 282 |
| May 14, 2026 | $61.69 | $61.88 | $61.38 | $61.85 | 172 909 |
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 IFRA stock historical prices to predict future price movements?
Trend Analysis: Examine the IFRA 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 IFRA 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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