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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

Historical C3.ai, Inc. prices

Date Open High Low Close Volume
Oct 27, 2016 $14.40 $14.40 $14.40 $14.40 239 000
Oct 26, 2016 $14.75 $14.75 $14.75 $14.75 244 200
Oct 25, 2016 $15.09 $15.09 $15.09 $15.09 299 800
Oct 24, 2016 $14.87 $14.87 $14.87 $14.87 186 200
Oct 21, 2016 $14.70 $14.70 $14.70 $14.70 236 200
Oct 20, 2016 $14.52 $14.52 $14.52 $14.52 99 000
Oct 19, 2016 $14.45 $14.45 $14.45 $14.45 113 900
Oct 18, 2016 $14.36 $14.36 $14.36 $14.36 167 400
Oct 17, 2016 $14.30 $14.30 $14.30 $14.30 186 500
Oct 14, 2016 $14.32 $14.32 $14.32 $14.32 143 800
Oct 13, 2016 $14.31 $14.31 $14.31 $14.31 148 400
Oct 12, 2016 $14.33 $14.33 $14.33 $14.33 167 100
Oct 11, 2016 $14.22 $14.22 $14.22 $14.22 200 900
Oct 10, 2016 $14.32 $14.32 $14.32 $14.32 166 500
Oct 07, 2016 $14.19 $14.19 $14.19 $14.19 167 400
Oct 06, 2016 $14.33 $14.33 $14.33 $14.33 271 200
Oct 05, 2016 $14.45 $14.45 $14.45 $14.45 147 900
Oct 04, 2016 $14.41 $14.41 $14.41 $14.41 334 400
Oct 03, 2016 $14.71 $14.71 $14.71 $14.71 150 300
Sep 30, 2016 $14.79 $14.79 $14.79 $14.79 262 700
Sep 29, 2016 $14.65 $14.65 $14.65 $14.65 253 900
Sep 28, 2016 $14.81 $14.81 $14.81 $14.81 300 000
Sep 27, 2016 $14.70 $14.70 $14.70 $14.70 444 500
Sep 26, 2016 $14.87 $14.87 $14.87 $14.87 477 600
Sep 23, 2016 $14.87 $14.87 $14.87 $14.87 315 300

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.

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.

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.

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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About C3.ai, Inc.

C3.ai C3.ai, Inc. operates as an enterprise artificial intelligence (AI) software company in North America, Europe, the Middle East, Africa, the Asia Pacific, and internationally. It provides C3 AI application platform, an application development and runtime environment that enables customers to design, develop, and deploy enterprise AI applications; C3 AI Ex Machina to for analysis-ready data; C3 AI CRM, an industry specific customer relationship mana... AI Profile

Top Fintech Company

StockInvest.us featured in The Global Fintech Index 2020 as the top Fintech company of the country.

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