NYSEARCA:LQD
iShares iBoxx $ Investment Grade ETF Price (Quote)
$106.94
+0.520 (+0.489%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $104.66 | $107.78 | Friday, 31st May 2024 LQD stock ended at $106.94. This is 0.489% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 0.314% from a day low at $106.67 to a day high of $107.00. |
90 days | $104.14 | $109.30 | |
52 weeks | $98.24 | $111.40 |
Historical iShares iBoxx $ Investment Grade Corporate Bond ETF prices
Date | Open | High | Low | Close | Volume |
Jan 10, 2022 | $129.40 | $129.68 | $129.03 | $129.60 | 14 253 375 |
Jan 07, 2022 | $130.11 | $130.20 | $129.47 | $129.72 | 17 750 844 |
Jan 06, 2022 | $130.18 | $130.48 | $130.00 | $130.28 | 19 336 312 |
Jan 05, 2022 | $131.48 | $131.48 | $130.42 | $130.45 | 16 107 538 |
Jan 04, 2022 | $130.94 | $131.24 | $130.69 | $131.22 | 18 748 077 |
Jan 03, 2022 | $131.78 | $131.79 | $131.11 | $131.11 | 18 199 493 |
Dec 31, 2021 | $132.73 | $133.03 | $132.45 | $132.52 | 8 514 488 |
Dec 30, 2021 | $132.38 | $132.75 | $132.10 | $132.72 | 5 566 952 |
Dec 29, 2021 | $132.38 | $132.51 | $132.00 | $132.19 | 7 263 024 |
Dec 28, 2021 | $133.36 | $133.41 | $132.75 | $132.92 | 6 864 294 |
Dec 27, 2021 | $132.74 | $133.20 | $132.68 | $133.09 | 8 744 170 |
Dec 23, 2021 | $132.77 | $132.82 | $132.42 | $132.70 | 8 401 171 |
Dec 22, 2021 | $132.87 | $132.91 | $132.56 | $132.90 | 7 850 770 |
Dec 21, 2021 | $131.48 | $132.70 | $131.48 | $132.69 | 12 933 300 |
Dec 20, 2021 | $132.77 | $132.91 | $132.35 | $132.43 | 12 931 382 |
Dec 17, 2021 | $132.85 | $133.14 | $132.85 | $133.01 | 8 753 079 |
Dec 16, 2021 | $132.78 | $133.10 | $132.52 | $132.70 | 9 750 195 |
Dec 15, 2021 | $132.11 | $132.77 | $132.06 | $132.70 | 20 585 138 |
Dec 14, 2021 | $132.77 | $132.91 | $132.35 | $132.53 | 17 725 386 |
Dec 13, 2021 | $133.06 | $133.44 | $133.02 | $133.13 | 10 264 235 |
Dec 10, 2021 | $133.03 | $133.07 | $132.47 | $132.53 | 12 792 293 |
Dec 09, 2021 | $132.94 | $133.16 | $132.59 | $132.64 | 12 348 347 |
Dec 08, 2021 | $133.30 | $133.36 | $132.54 | $132.75 | 17 408 004 |
Dec 07, 2021 | $133.64 | $134.07 | $133.48 | $133.64 | 17 338 158 |
Dec 06, 2021 | $134.21 | $134.24 | $133.51 | $133.58 | 25 332 022 |
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 LQD stock historical prices to predict future price movements?
Trend Analysis: Examine the LQD 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 LQD 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.