$1.73
+0 (+0%)
At Close: Jun 16, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $1.73 | $1.78 | Tuesday, 16th Jun 2026 DHY stock ended at $1.73. During the day the stock fluctuated 0.578% from a day low at $1.73 to a day high of $1.74. |
| 90 days | $1.73 | $1.90 | |
| 52 weeks | $1.73 | $2.16 |
Historical Credit Suisse High Yield Bond Fund prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 16, 2026 | $1.74 | $1.74 | $1.73 | $1.73 | 422 595 |
| Jun 15, 2026 | $1.73 | $1.74 | $1.73 | $1.73 | 837 679 |
| Jun 12, 2026 | $1.74 | $1.75 | $1.74 | $1.75 | 285 593 |
| Jun 11, 2026 | $1.76 | $1.76 | $1.74 | $1.75 | 275 841 |
| Jun 10, 2026 | $1.76 | $1.76 | $1.74 | $1.75 | 804 266 |
| Jun 09, 2026 | $1.74 | $1.75 | $1.73 | $1.74 | 949 779 |
| Jun 08, 2026 | $1.73 | $1.74 | $1.73 | $1.73 | 338 587 |
| Jun 05, 2026 | $1.74 | $1.74 | $1.73 | $1.73 | 0 |
| Jun 04, 2026 | $1.76 | $1.76 | $1.75 | $1.75 | 485 418 |
| Jun 03, 2026 | $1.76 | $1.76 | $1.75 | $1.76 | 571 867 |
| Jun 02, 2026 | $1.76 | $1.76 | $1.75 | $1.76 | 608 957 |
| Jun 01, 2026 | $1.76 | $1.76 | $1.75 | $1.75 | 370 236 |
| May 29, 2026 | $1.76 | $1.76 | $1.75 | $1.76 | 610 552 |
| May 28, 2026 | $1.76 | $1.77 | $1.75 | $1.76 | 827 155 |
| May 27, 2026 | $1.76 | $1.77 | $1.76 | $1.76 | 296 058 |
| May 26, 2026 | $1.75 | $1.77 | $1.75 | $1.77 | 597 134 |
| May 22, 2026 | $1.77 | $1.78 | $1.75 | $1.75 | 811 940 |
| May 21, 2026 | $1.77 | $1.78 | $1.76 | $1.78 | 515 126 |
| May 20, 2026 | $1.77 | $1.78 | $1.76 | $1.78 | 301 746 |
| May 19, 2026 | $1.76 | $1.77 | $1.75 | $1.77 | 490 218 |
| May 18, 2026 | $1.74 | $1.77 | $1.74 | $1.75 | 725 388 |
| May 15, 2026 | $1.76 | $1.76 | $1.74 | $1.75 | 833 022 |
| May 14, 2026 | $1.78 | $1.78 | $1.76 | $1.76 | 1 097 114 |
| May 13, 2026 | $1.77 | $1.78 | $1.76 | $1.76 | 788 883 |
| May 12, 2026 | $1.76 | $1.78 | $1.76 | $1.77 | 1 077 444 |
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 DHY stock historical prices to predict future price movements?
Trend Analysis: Examine the DHY 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 DHY 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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