$8.19
-0.400 (-4.66%)
At Close: Jul 22, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $8.00 | $10.57 | Wednesday, 22nd Jul 2026 AI stock ended at $8.19. This is 4.66% less than the trading day before Tuesday, 21st Jul 2026. During the day the stock fluctuated 7.81% from a day low at $8.00 to a day high of $8.63. |
| 90 days | $8.00 | $11.82 | |
| 52 weeks | $7.68 | $29.30 |
Historical C3.ai, Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 22, 2026 | $8.58 | $8.63 | $8.00 | $8.19 | 5 290 454 |
| Jul 21, 2026 | $8.49 | $8.88 | $8.48 | $8.59 | 4 243 917 |
| Jul 20, 2026 | $8.74 | $8.83 | $8.47 | $8.61 | 5 489 256 |
| Jul 17, 2026 | $8.82 | $9.16 | $8.67 | $8.82 | 5 522 482 |
| Jul 16, 2026 | $9.19 | $9.21 | $8.80 | $8.91 | 3 119 007 |
| Jul 15, 2026 | $9.30 | $9.63 | $9.14 | $9.14 | 5 242 177 |
| Jul 14, 2026 | $8.98 | $9.23 | $8.78 | $9.15 | 5 160 314 |
| Jul 13, 2026 | $8.95 | $9.27 | $8.85 | $9.16 | 3 485 609 |
| Jul 10, 2026 | $9.21 | $9.28 | $8.84 | $8.95 | 5 039 786 |
| Jul 09, 2026 | $8.80 | $9.01 | $8.64 | $9.01 | 2 916 071 |
| Jul 08, 2026 | $8.73 | $8.99 | $8.70 | $8.86 | 3 762 648 |
| Jul 07, 2026 | $9.36 | $9.47 | $8.89 | $8.93 | 4 611 604 |
| Jul 06, 2026 | $8.83 | $9.56 | $8.80 | $9.28 | 4 619 393 |
| Jul 02, 2026 | $9.39 | $9.58 | $9.01 | $9.06 | 3 527 298 |
| Jul 01, 2026 | $9.22 | $9.66 | $9.22 | $9.43 | 4 626 516 |
| Jun 30, 2026 | $8.83 | $9.22 | $8.67 | $9.09 | 3 789 499 |
| Jun 29, 2026 | $9.11 | $9.20 | $8.68 | $8.87 | 4 721 718 |
| Jun 26, 2026 | $8.70 | $9.06 | $8.50 | $8.90 | 3 647 615 |
| Jun 25, 2026 | $9.20 | $9.31 | $8.57 | $8.75 | 6 626 827 |
| Jun 24, 2026 | $9.72 | $9.80 | $9.30 | $9.32 | 5 068 360 |
| Jun 23, 2026 | $9.61 | $9.96 | $9.60 | $9.68 | 4 698 441 |
| Jun 22, 2026 | $10.23 | $10.57 | $9.68 | $9.70 | 5 471 599 |
| Jun 18, 2026 | $10.32 | $10.42 | $9.98 | $10.30 | 6 428 903 |
| Jun 17, 2026 | $10.76 | $11.03 | $10.24 | $10.29 | 7 166 658 |
| Jun 16, 2026 | $10.90 | $11.20 | $10.63 | $10.93 | 6 891 815 |
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 AI stock historical prices to predict future price movements?
Trend Analysis: Examine the AI 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 AI 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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