SES:ES3
SPDR Straits Times Index ETF Stock Price (Quote)
S$3.39
-0.0030 (-0.0884%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | S$3.31 | S$3.42 | Friday, 31st May 2024 ES3.SI stock ended at S$3.39. This is 0.0884% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 0.737% from a day low at S$3.39 to a day high of S$3.42. |
90 days | S$3.11 | S$3.42 | |
52 weeks | S$3.10 | S$3.45 |
Historical SPDR Straits Times Index ETF prices
Date | Open | High | Low | Close | Volume |
Apr 23, 2024 | S$3.20 | S$3.29 | S$3.20 | S$3.29 | 1 641 438 |
Apr 22, 2024 | S$3.20 | S$3.26 | S$3.20 | S$3.24 | 602 565 |
Apr 19, 2024 | S$3.24 | S$3.24 | S$3.18 | S$3.20 | 489 533 |
Apr 18, 2024 | S$3.24 | S$3.24 | S$3.18 | S$3.21 | 964 156 |
Apr 17, 2024 | S$3.24 | S$3.24 | S$3.17 | S$3.18 | 439 982 |
Apr 16, 2024 | S$3.24 | S$3.24 | S$3.17 | S$3.17 | 1 477 685 |
Apr 15, 2024 | S$3.24 | S$3.24 | S$3.20 | S$3.20 | 487 754 |
Apr 12, 2024 | S$3.23 | S$3.26 | S$3.23 | S$3.24 | 289 810 |
Apr 11, 2024 | S$3.23 | S$3.25 | S$3.23 | S$3.25 | 236 258 |
Apr 09, 2024 | S$3.23 | S$3.27 | S$3.23 | S$3.25 | 641 650 |
Apr 08, 2024 | S$3.23 | S$3.25 | S$3.23 | S$3.23 | 441 921 |
Apr 05, 2024 | S$3.23 | S$3.24 | S$3.21 | S$3.23 | 614 707 |
Apr 04, 2024 | S$3.23 | S$3.26 | S$3.23 | S$3.25 | 497 726 |
Apr 03, 2024 | S$3.23 | S$3.25 | S$3.23 | S$3.23 | 173 001 |
Apr 02, 2024 | S$3.23 | S$3.26 | S$3.23 | S$3.25 | 1 128 642 |
Apr 01, 2024 | S$3.23 | S$3.26 | S$3.23 | S$3.24 | 734 468 |
Mar 28, 2024 | S$3.20 | S$3.27 | S$3.20 | S$3.23 | 700 431 |
Mar 27, 2024 | S$3.20 | S$3.27 | S$3.20 | S$3.25 | 650 038 |
Mar 26, 2024 | S$3.20 | S$3.25 | S$3.20 | S$3.25 | 1 242 801 |
Mar 25, 2024 | S$3.23 | S$3.23 | S$3.20 | S$3.20 | 170 219 |
Mar 22, 2024 | S$3.22 | S$3.23 | S$3.22 | S$3.23 | 315 492 |
Mar 21, 2024 | S$3.20 | S$3.24 | S$3.20 | S$3.22 | 1 084 804 |
Mar 20, 2024 | S$3.18 | S$3.20 | S$3.18 | S$3.18 | 341 792 |
Mar 19, 2024 | S$3.18 | S$3.19 | S$3.18 | S$3.18 | 239 683 |
Mar 18, 2024 | S$3.18 | S$3.19 | S$3.17 | S$3.17 | 530 825 |
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 ES3.SI stock historical prices to predict future price movements?
Trend Analysis: Examine the ES3.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 ES3.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.