NYSE:AI
C3.ai Stock Price (Quote)
$26.39
+0.190 (+0.725%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $20.34 | $26.84 | Friday, 17th May 2024 AI stock ended at $26.39. This is 0.725% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.48% from a day low at $26.01 to a day high of $26.66. |
90 days | $20.23 | $38.30 | |
52 weeks | $20.23 | $48.87 |
Date | Open | High | Low | Close | Volume |
Jan 10, 2017 | $15.04 | $15.32 | $14.96 | $15.32 | 304 924 |
Jan 09, 2017 | $14.85 | $15.04 | $14.74 | $15.01 | 345 488 |
Jan 06, 2017 | $15.12 | $15.12 | $14.90 | $14.91 | 254 260 |
Jan 05, 2017 | $15.22 | $15.33 | $15.00 | $15.05 | 319 447 |
Jan 04, 2017 | $15.19 | $15.31 | $15.05 | $15.26 | 239 340 |
Jan 03, 2017 | $14.90 | $15.15 | $14.83 | $15.09 | 406 718 |
Dec 30, 2016 | $15.05 | $15.10 | $14.80 | $14.82 | 291 596 |
Dec 29, 2016 | $14.82 | $15.18 | $14.80 | $15.04 | 303 006 |
Dec 28, 2016 | $15.07 | $15.12 | $14.71 | $14.80 | 432 149 |
Dec 27, 2016 | $15.69 | $15.72 | $15.57 | $15.71 | 630 637 |
Dec 23, 2016 | $15.80 | $15.80 | $15.52 | $15.65 | 393 143 |
Dec 22, 2016 | $15.65 | $15.89 | $15.50 | $15.66 | 428 364 |
Dec 21, 2016 | $15.63 | $15.73 | $15.40 | $15.66 | 446 420 |
Dec 20, 2016 | $15.64 | $15.84 | $15.33 | $15.75 | 545 774 |
Dec 19, 2016 | $15.50 | $15.92 | $15.38 | $15.84 | 663 081 |
Dec 16, 2016 | $15.13 | $15.58 | $15.10 | $15.26 | 1 011 172 |
Dec 15, 2016 | $15.92 | $16.08 | $15.00 | $15.03 | 949 090 |
Dec 14, 2016 | $16.23 | $16.50 | $15.97 | $15.98 | 383 157 |
Dec 13, 2016 | $16.80 | $16.84 | $16.20 | $16.24 | 349 291 |
Dec 12, 2016 | $17.08 | $17.08 | $16.61 | $16.75 | 368 493 |
Dec 09, 2016 | $17.01 | $17.13 | $16.93 | $17.08 | 409 096 |
Dec 08, 2016 | $16.78 | $17.11 | $16.62 | $17.00 | 459 082 |
Dec 07, 2016 | $16.61 | $16.90 | $16.49 | $16.77 | 438 962 |
Dec 06, 2016 | $16.65 | $16.70 | $16.42 | $16.59 | 330 000 |
Dec 05, 2016 | $16.21 | $16.59 | $16.19 | $16.56 | 341 346 |
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.