$0.0008
-0.0001 (-11.11%)
At Close: Nov 17, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0008 | $0.0010 | Monday, 17th Nov 2025 AITX stock ended at $0.0008. This is 11.11% less than the trading day before Friday, 14th Nov 2025. During the day the stock fluctuated 12.50% from a day low at $0.0008 to a day high of $0.0009. |
| 90 days | $0.0007 | $0.0015 | |
| 52 weeks | $0.0007 | $0.0052 |
Historical Artificial Intelligence Technology Solutions Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 17, 2025 | $0.0009 | $0.0009 | $0.0008 | $0.0008 | 33 051 212 |
| Nov 14, 2025 | $0.0009 | $0.0009 | $0.0008 | $0.0009 | 23 471 322 |
| Nov 13, 2025 | $0.0009 | $0.0009 | $0.0008 | $0.0008 | 7 868 404 |
| Nov 12, 2025 | $0.0009 | $0.0010 | $0.0008 | $0.0009 | 44 368 389 |
| Nov 11, 2025 | $0.0010 | $0.0010 | $0.0008 | $0.0008 | 3 178 419 |
| Nov 10, 2025 | $0.0010 | $0.0010 | $0.0009 | $0.0009 | 57 198 815 |
| Nov 07, 2025 | $0.0010 | $0.0010 | $0.0009 | $0.0010 | 19 872 453 |
| Nov 06, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0009 | 23 067 160 |
| Nov 05, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0009 | 36 380 419 |
| Nov 04, 2025 | $0.0010 | $0.0010 | $0.0009 | $0.0009 | 34 450 204 |
| Nov 03, 2025 | $0.0009 | $0.0010 | $0.0008 | $0.0010 | 47 189 853 |
| Oct 31, 2025 | $0.0008 | $0.0009 | $0.0008 | $0.0009 | 7 986 230 |
| Oct 30, 2025 | $0.0009 | $0.0009 | $0.0008 | $0.0008 | 29 198 673 |
| Oct 29, 2025 | $0.0009 | $0.0010 | $0.0008 | $0.0009 | 19 998 014 |
| Oct 28, 2025 | $0.0009 | $0.0010 | $0.0008 | $0.0009 | 54 706 274 |
| Oct 27, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0009 | 57 049 071 |
| Oct 24, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0010 | 40 011 829 |
| Oct 23, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0010 | 1 908 767 |
| Oct 22, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0010 | 5 230 826 |
| Oct 21, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0010 | 36 697 861 |
| Oct 20, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0010 | 48 866 492 |
| Oct 17, 2025 | $0.0010 | $0.0010 | $0.0009 | $0.0010 | 40 534 047 |
| Oct 16, 2025 | $0.0010 | $0.0010 | $0.0009 | $0.0010 | 68 040 224 |
| Oct 15, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0009 | 65 273 020 |
| Oct 14, 2025 | $0.0009 | $0.0010 | $0.0009 | $0.0009 | 9 281 952 |
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 AITX stock historical prices to predict future price movements?
Trend Analysis: Examine the AITX 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 AITX 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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