$0.0171
-0.00008785 (-0.512%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0167 | $0.0192 | Monday, 13th Jul 2026 NYMUSD stock ended at $0.0171. This is 0.512% less than the trading day before Sunday, 12th Jul 2026. During the day the stock fluctuated 3.25% from a day low at $0.0167 to a day high of $0.0173. |
| 90 days | $0.0167 | $0.0372 | |
| 52 weeks | $0.0167 | $0.0595 |
Historical NYM USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $0.0172 | $0.0173 | $0.0167 | $0.0171 | 223 324 |
| Jul 12, 2026 | $0.0170 | $0.0172 | $0.0168 | $0.0172 | 804 595 |
| Jul 11, 2026 | $0.0172 | $0.0172 | $0.0168 | $0.0168 | 695 534 |
| Jul 10, 2026 | $0.0174 | $0.0176 | $0.0172 | $0.0172 | 1 429 840 |
| Jul 09, 2026 | $0.0174 | $0.0174 | $0.0174 | $0.0174 | 1 445 230 |
| Jul 08, 2026 | $0.0179 | $0.0190 | $0.0174 | $0.0178 | 1 382 311 |
| Jul 07, 2026 | $0.0179 | $0.0183 | $0.0179 | $0.0183 | 1 577 884 |
| Jul 06, 2026 | $0.0180 | $0.0184 | $0.0176 | $0.0183 | 2 491 841 |
| Jul 05, 2026 | $0.0177 | $0.0184 | $0.0175 | $0.0180 | 1 416 138 |
| Jul 04, 2026 | $0.0177 | $0.0179 | $0.0175 | $0.0177 | 1 095 028 |
| Jul 03, 2026 | $0.0177 | $0.0178 | $0.0176 | $0.0178 | 1 161 089 |
| Jul 02, 2026 | $0.0175 | $0.0178 | $0.0175 | $0.0178 | 1 462 775 |
| Jul 01, 2026 | $0.0177 | $0.0179 | $0.0175 | $0.0178 | 1 554 267 |
| Jun 30, 2026 | $0.0178 | $0.0179 | $0.0172 | $0.0179 | 1 451 941 |
| Jun 29, 2026 | $0.0177 | $0.0180 | $0.0177 | $0.0177 | 2 603 490 |
| Jun 28, 2026 | $0.0177 | $0.0177 | $0.0177 | $0.0177 | 1 216 787 |
| Jun 27, 2026 | $0.0179 | $0.0179 | $0.0177 | $0.0178 | 869 956 |
| Jun 26, 2026 | $0.0177 | $0.0179 | $0.0177 | $0.0178 | 1 256 315 |
| Jun 25, 2026 | $0.0179 | $0.0179 | $0.0177 | $0.0179 | 2 045 492 |
| Jun 24, 2026 | $0.0177 | $0.0182 | $0.0174 | $0.0181 | 1 741 575 |
| Jun 23, 2026 | $0.0176 | $0.0180 | $0.0176 | $0.0180 | 1 478 080 |
| Jun 22, 2026 | $0.0179 | $0.0180 | $0.0174 | $0.0179 | 2 077 120 |
| Jun 21, 2026 | $0.0177 | $0.0180 | $0.0176 | $0.0179 | 1 358 077 |
| Jun 20, 2026 | $0.0179 | $0.0179 | $0.0179 | $0.0179 | 1 014 479 |
| Jun 19, 2026 | $0.0179 | $0.0179 | $0.0179 | $0.0179 | 1 434 739 |
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 NYMUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the NYMUSD 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 NYMUSD 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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