$1.13
+0 (+0%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.95 | $1.18 | Monday, 13th Jul 2026 IQ stock ended at $1.13. During the day the stock fluctuated 2.65% from a day low at $1.13 to a day high of $1.16. |
| 90 days | $0.95 | $1.47 | |
| 52 weeks | $0.95 | $2.84 |
Historical iQIYI, Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $1.13 | $1.16 | $1.13 | $1.13 | 4 728 985 |
| Jul 10, 2026 | $1.15 | $1.18 | $1.12 | $1.13 | 6 297 238 |
| Jul 09, 2026 | $1.06 | $1.15 | $1.06 | $1.14 | 6 675 894 |
| Jul 08, 2026 | $1.02 | $1.07 | $1.01 | $1.05 | 5 190 743 |
| Jul 07, 2026 | $1.06 | $1.09 | $0.98 | $1.00 | 5 990 929 |
| Jul 06, 2026 | $1.01 | $1.09 | $1.01 | $1.07 | 9 665 897 |
| Jul 02, 2026 | $1.05 | $1.06 | $1.01 | $1.01 | 5 118 028 |
| Jul 01, 2026 | $1.04 | $1.07 | $1.03 | $1.06 | 6 809 605 |
| Jun 30, 2026 | $1.01 | $1.06 | $1.01 | $1.04 | 5 245 862 |
| Jun 29, 2026 | $0.99 | $1.06 | $0.99 | $1.01 | 12 541 766 |
| Jun 26, 2026 | $0.96 | $1.02 | $0.96 | $0.99 | 8 568 463 |
| Jun 25, 2026 | $1.01 | $1.02 | $0.95 | $0.96 | 17 264 984 |
| Jun 24, 2026 | $1.03 | $1.04 | $1.00 | $1.01 | 6 037 935 |
| Jun 23, 2026 | $1.00 | $1.05 | $1.00 | $1.04 | 4 561 346 |
| Jun 22, 2026 | $1.01 | $1.04 | $1.00 | $1.02 | 5 588 838 |
| Jun 18, 2026 | $1.02 | $1.04 | $1.01 | $1.02 | 5 355 731 |
| Jun 17, 2026 | $1.03 | $1.06 | $1.03 | $1.03 | 3 277 635 |
| Jun 16, 2026 | $1.05 | $1.05 | $1.02 | $1.04 | 3 415 981 |
| Jun 15, 2026 | $1.05 | $1.07 | $1.03 | $1.05 | 2 276 701 |
| Jun 12, 2026 | $1.03 | $1.06 | $1.02 | $1.03 | 4 809 909 |
| Jun 11, 2026 | $1.02 | $1.05 | $0.98 | $1.03 | 10 500 536 |
| Jun 10, 2026 | $1.04 | $1.06 | $1.03 | $1.03 | 3 217 613 |
| Jun 09, 2026 | $1.06 | $1.07 | $1.03 | $1.04 | 4 398 205 |
| Jun 08, 2026 | $1.05 | $1.08 | $1.04 | $1.05 | 3 935 551 |
| Jun 05, 2026 | $1.08 | $1.08 | $1.04 | $1.05 | 4 523 662 |
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 IQ stock historical prices to predict future price movements?
Trend Analysis: Examine the IQ 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 IQ 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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