S$0.655
-0.0200 (-2.96%)
At Close: Aug 07, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | S$0.610 | S$0.700 | Friday, 7th Aug 2026 Z25.SI stock ended at S$0.655. This is 2.96% less than the trading day before Thursday, 6th Aug 2026. During the day the stock fluctuated 5.38% from a day low at S$0.650 to a day high of S$0.685. |
| 90 days | S$0.605 | S$0.82 | |
| 52 weeks | S$0.560 | S$0.83 |
Historical Yanlord Land Group Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 07, 2026 | S$0.675 | S$0.685 | S$0.650 | S$0.655 | 3 148 400 |
| Aug 06, 2026 | S$0.685 | S$0.685 | S$0.660 | S$0.675 | 1 740 600 |
| Aug 05, 2026 | S$0.685 | S$0.690 | S$0.675 | S$0.685 | 1 315 900 |
| Aug 04, 2026 | S$0.690 | S$0.700 | S$0.680 | S$0.685 | 1 426 800 |
| Aug 03, 2026 | S$0.685 | S$0.695 | S$0.675 | S$0.685 | 2 842 400 |
| Jul 31, 2026 | S$0.685 | S$0.695 | S$0.685 | S$0.685 | 1 893 400 |
| Jul 30, 2026 | S$0.665 | S$0.690 | S$0.665 | S$0.685 | 2 320 500 |
| Jul 29, 2026 | S$0.665 | S$0.680 | S$0.660 | S$0.675 | 1 930 100 |
| Jul 28, 2026 | S$0.660 | S$0.670 | S$0.645 | S$0.665 | 2 096 600 |
| Jul 27, 2026 | S$0.650 | S$0.670 | S$0.640 | S$0.665 | 1 113 800 |
| Jul 24, 2026 | S$0.660 | S$0.665 | S$0.645 | S$0.655 | 1 481 900 |
| Jul 23, 2026 | S$0.660 | S$0.670 | S$0.655 | S$0.670 | 880 700 |
| Jul 22, 2026 | S$0.675 | S$0.675 | S$0.660 | S$0.660 | 975 200 |
| Jul 21, 2026 | S$0.655 | S$0.670 | S$0.650 | S$0.670 | 3 340 000 |
| Jul 20, 2026 | S$0.635 | S$0.655 | S$0.630 | S$0.650 | 2 016 000 |
| Jul 17, 2026 | S$0.650 | S$0.655 | S$0.635 | S$0.635 | 1 286 300 |
| Jul 16, 2026 | S$0.640 | S$0.660 | S$0.635 | S$0.655 | 2 828 500 |
| Jul 15, 2026 | S$0.630 | S$0.645 | S$0.625 | S$0.645 | 3 266 200 |
| Jul 14, 2026 | S$0.625 | S$0.635 | S$0.610 | S$0.630 | 2 211 400 |
| Jul 13, 2026 | S$0.640 | S$0.640 | S$0.620 | S$0.625 | 1 693 300 |
| Jul 10, 2026 | S$0.635 | S$0.650 | S$0.635 | S$0.645 | 1 507 700 |
| Jul 09, 2026 | S$0.625 | S$0.635 | S$0.620 | S$0.630 | 1 426 400 |
| Jul 08, 2026 | S$0.635 | S$0.640 | S$0.620 | S$0.625 | 1 894 400 |
| Jul 07, 2026 | S$0.645 | S$0.645 | S$0.630 | S$0.635 | 834 100 |
| Jul 06, 2026 | S$0.650 | S$0.660 | S$0.640 | S$0.645 | 839 900 |
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 Z25.SI stock historical prices to predict future price movements?
Trend Analysis: Examine the Z25.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 Z25.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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