S$0.490
+0.0050 (+1.03%)
At Close: Jun 05, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | S$0.480 | S$0.525 | Friday, 5th Jun 2026 DCRU.SI stock ended at S$0.490. This is 1.03% more than the trading day before Thursday, 4th Jun 2026. During the day the stock fluctuated 1.03% from a day low at S$0.485 to a day high of S$0.490. |
| 90 days | S$0.475 | S$0.535 | |
| 52 weeks | S$0.460 | S$0.575 |
Historical Digital Core Reit prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 05, 2026 | S$0.485 | S$0.490 | S$0.485 | S$0.490 | 1 056 400 |
| Jun 04, 2026 | S$0.485 | S$0.490 | S$0.480 | S$0.485 | 4 549 600 |
| Jun 03, 2026 | S$0.485 | S$0.490 | S$0.485 | S$0.485 | 2 040 900 |
| Jun 02, 2026 | S$0.490 | S$0.490 | S$0.480 | S$0.485 | 4 544 900 |
| May 29, 2026 | S$0.495 | S$0.495 | S$0.480 | S$0.490 | 8 445 500 |
| May 28, 2026 | S$0.500 | S$0.500 | S$0.490 | S$0.495 | 4 501 000 |
| May 26, 2026 | S$0.505 | S$0.505 | S$0.495 | S$0.500 | 1 282 700 |
| May 25, 2026 | S$0.500 | S$0.505 | S$0.500 | S$0.505 | 989 400 |
| May 22, 2026 | S$0.495 | S$0.505 | S$0.495 | S$0.495 | 1 328 400 |
| May 21, 2026 | S$0.500 | S$0.500 | S$0.490 | S$0.500 | 6 688 500 |
| May 20, 2026 | S$0.510 | S$0.510 | S$0.500 | S$0.500 | 2 381 200 |
| May 19, 2026 | S$0.505 | S$0.510 | S$0.500 | S$0.505 | 1 815 500 |
| May 18, 2026 | S$0.505 | S$0.505 | S$0.495 | S$0.505 | 2 238 400 |
| May 15, 2026 | S$0.515 | S$0.515 | S$0.500 | S$0.505 | 3 283 500 |
| May 14, 2026 | S$0.520 | S$0.525 | S$0.510 | S$0.515 | 3 895 400 |
| May 13, 2026 | S$0.525 | S$0.525 | S$0.515 | S$0.520 | 1 795 000 |
| May 12, 2026 | S$0.520 | S$0.520 | S$0.515 | S$0.520 | 1 719 600 |
| May 11, 2026 | S$0.520 | S$0.520 | S$0.515 | S$0.515 | 403 200 |
| May 08, 2026 | S$0.525 | S$0.525 | S$0.515 | S$0.515 | 1 645 300 |
| May 07, 2026 | S$0.515 | S$0.525 | S$0.510 | S$0.525 | 3 170 300 |
| May 06, 2026 | S$0.515 | S$0.520 | S$0.510 | S$0.515 | 3 274 100 |
| May 05, 2026 | S$0.520 | S$0.520 | S$0.515 | S$0.515 | 944 700 |
| May 04, 2026 | S$0.515 | S$0.520 | S$0.510 | S$0.515 | 1 588 700 |
| Apr 30, 2026 | S$0.515 | S$0.520 | S$0.510 | S$0.515 | 1 497 000 |
| Apr 29, 2026 | S$0.530 | S$0.530 | S$0.515 | S$0.515 | 3 071 500 |
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 DCRU.SI stock historical prices to predict future price movements?
Trend Analysis: Examine the DCRU.SI 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 DCRU.SI 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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