$0.0187
-0.00002904 (-0.155%)
At Close: Jul 12, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0172 | $0.0229 | Sunday, 12th Jul 2026 CGPTUSD stock ended at $0.0187. This is 0.155% less than the trading day before Saturday, 11th Jul 2026. During the day the stock fluctuated 3.11% from a day low at $0.0186 to a day high of $0.0191. |
| 90 days | $0.0172 | $0.0442 | |
| 52 weeks | $0.0172 | $0.120 |
Historical ChainGPT USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 12, 2026 | $0.0188 | $0.0191 | $0.0186 | $0.0187 | 7 752 539 |
| Jul 11, 2026 | $0.0190 | $0.0196 | $0.0186 | $0.0187 | 8 613 700 |
| Jul 10, 2026 | $0.0188 | $0.0195 | $0.0187 | $0.0190 | 9 294 333 |
| Jul 09, 2026 | $0.0188 | $0.0188 | $0.0187 | $0.0188 | 9 900 669 |
| Jul 08, 2026 | $0.0187 | $0.0188 | $0.0181 | $0.0183 | 8 834 339 |
| Jul 07, 2026 | $0.0187 | $0.0188 | $0.0187 | $0.0188 | 6 731 822 |
| Jul 06, 2026 | $0.0193 | $0.0194 | $0.0193 | $0.0194 | 6 737 605 |
| Jul 05, 2026 | $0.0200 | $0.0201 | $0.0195 | $0.0198 | 6 426 868 |
| Jul 04, 2026 | $0.0198 | $0.0204 | $0.0196 | $0.0200 | 8 670 403 |
| Jul 03, 2026 | $0.0189 | $0.0200 | $0.0187 | $0.0197 | 10 092 976 |
| Jul 02, 2026 | $0.0189 | $0.0189 | $0.0187 | $0.0187 | 10 593 315 |
| Jul 01, 2026 | $0.0183 | $0.0192 | $0.0179 | $0.0190 | 10 947 238 |
| Jun 30, 2026 | $0.0185 | $0.0185 | $0.0175 | $0.0182 | 9 163 235 |
| Jun 29, 2026 | $0.0184 | $0.0196 | $0.0182 | $0.0184 | 10 388 115 |
| Jun 28, 2026 | $0.0184 | $0.0184 | $0.0182 | $0.0183 | 10 607 580 |
| Jun 27, 2026 | $0.0183 | $0.0184 | $0.0183 | $0.0184 | 8 461 591 |
| Jun 26, 2026 | $0.0186 | $0.0188 | $0.0186 | $0.0187 | 10 068 376 |
| Jun 25, 2026 | $0.0192 | $0.0192 | $0.0188 | $0.0189 | 13 917 988 |
| Jun 24, 2026 | $0.0192 | $0.0193 | $0.0172 | $0.0180 | 11 287 531 |
| Jun 23, 2026 | $0.0201 | $0.0203 | $0.0189 | $0.0193 | 9 140 183 |
| Jun 22, 2026 | $0.0200 | $0.0208 | $0.0200 | $0.0203 | 8 338 744 |
| Jun 21, 2026 | $0.0200 | $0.0202 | $0.0200 | $0.0202 | 9 722 379 |
| Jun 20, 2026 | $0.0201 | $0.0202 | $0.0201 | $0.0202 | 8 654 262 |
| Jun 19, 2026 | $0.0198 | $0.0199 | $0.0197 | $0.0198 | 8 142 762 |
| Jun 18, 2026 | $0.0200 | $0.0202 | $0.0200 | $0.0201 | 9 234 294 |
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 CGPTUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the CGPTUSD 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 CGPTUSD 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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