$0.0055
-0.00003478 (-0.629%)
At Close: Nov 17, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0049 | $0.0081 | Monday, 17th Nov 2025 AIPADUSD stock ended at $0.0055. This is 0.629% less than the trading day before Sunday, 16th Nov 2025. During the day the stock fluctuated 0.705% from a day low at $0.0055 to a day high of $0.0055. |
| 90 days | $0.0049 | $0.0155 | |
| 52 weeks | $0.0049 | $0.127 |
Historical AIPAD USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 17, 2025 | $0.0055 | $0.0055 | $0.0055 | $0.0055 | 152 940 |
| Nov 16, 2025 | $0.0055 | $0.0056 | $0.0055 | $0.0055 | 150 264 |
| Nov 15, 2025 | $0.0055 | $0.0055 | $0.0055 | $0.0055 | 150 942 |
| Nov 14, 2025 | $0.0055 | $0.0055 | $0.0055 | $0.0055 | 152 766 |
| Nov 13, 2025 | $0.0059 | $0.0059 | $0.0057 | $0.0058 | 152 137 |
| Nov 12, 2025 | $0.0059 | $0.0062 | $0.0058 | $0.0059 | 150 836 |
| Nov 11, 2025 | $0.0064 | $0.0064 | $0.0058 | $0.0059 | 154 296 |
| Nov 10, 2025 | $0.0066 | $0.0078 | $0.0064 | $0.0064 | 172 501 |
| Nov 09, 2025 | $0.0062 | $0.0067 | $0.0060 | $0.0066 | 162 994 |
| Nov 08, 2025 | $0.0059 | $0.0064 | $0.0058 | $0.0062 | 166 345 |
| Nov 07, 2025 | $0.0051 | $0.0060 | $0.0049 | $0.0058 | 160 106 |
| Nov 06, 2025 | $0.0051 | $0.0051 | $0.0051 | $0.0051 | 155 276 |
| Nov 05, 2025 | $0.0056 | $0.0057 | $0.0053 | $0.0053 | 156 226 |
| Nov 04, 2025 | $0.0060 | $0.0060 | $0.0054 | $0.0056 | 161 949 |
| Nov 03, 2025 | $0.0065 | $0.0065 | $0.0060 | $0.0060 | 158 440 |
| Nov 02, 2025 | $0.0065 | $0.0065 | $0.0064 | $0.0065 | 150 868 |
| Nov 01, 2025 | $0.0066 | $0.0067 | $0.0063 | $0.0064 | 156 260 |
| Oct 31, 2025 | $0.0065 | $0.0068 | $0.0064 | $0.0067 | 152 131 |
| Oct 30, 2025 | $0.0065 | $0.0065 | $0.0064 | $0.0065 | 156 754 |
| Oct 29, 2025 | $0.0067 | $0.0067 | $0.0066 | $0.0067 | 161 034 |
| Oct 28, 2025 | $0.0067 | $0.0067 | $0.0067 | $0.0067 | 158 523 |
| Oct 27, 2025 | $0.0073 | $0.0073 | $0.0069 | $0.0072 | 158 855 |
| Oct 26, 2025 | $0.0073 | $0.0073 | $0.0071 | $0.0072 | 164 204 |
| Oct 25, 2025 | $0.0066 | $0.0067 | $0.0064 | $0.0066 | 154 248 |
| Oct 24, 2025 | $0.0065 | $0.0068 | $0.0064 | $0.0065 | 156 264 |
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 AIPADUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the AIPADUSD 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 AIPADUSD 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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