NYSEARCA:GSIE
GOLDMAN SACHS ACTIVEBETA(R) ETF Price (Quote)
$33.65
+0.0200 (+0.0595%)
At Close: Jun 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $33.47 | $35.13 | Friday, 28th Jun 2024 GSIE stock ended at $33.65. This is 0.0595% more than the trading day before Thursday, 27th Jun 2024. During the day the stock fluctuated 0.642% from a day low at $33.51 to a day high of $33.73. |
90 days | $32.66 | $35.13 | |
52 weeks | $28.51 | $35.13 |
Historical GOLDMAN SACHS ACTIVEBETA(R) INTERNATIONAL EQUITY ETF GOLDMAN SACHS ACTIVEBETA(R) INTERNATIONAL EQUITY ETF prices
Date | Open | High | Low | Close | Volume |
Jun 28, 2024 | $33.64 | $33.73 | $33.51 | $33.65 | 713 263 |
Jun 27, 2024 | $33.60 | $33.72 | $33.55 | $33.63 | 305 756 |
Jun 26, 2024 | $33.48 | $33.62 | $33.47 | $33.57 | 275 467 |
Jun 25, 2024 | $33.71 | $33.84 | $33.68 | $33.81 | 228 840 |
Jun 24, 2024 | $33.70 | $33.88 | $33.70 | $33.75 | 215 597 |
Jun 21, 2024 | $33.88 | $33.92 | $33.78 | $33.90 | 188 847 |
Jun 20, 2024 | $34.03 | $34.16 | $34.02 | $34.12 | 328 866 |
Jun 18, 2024 | $33.96 | $34.13 | $33.96 | $34.10 | 216 283 |
Jun 17, 2024 | $33.76 | $33.97 | $33.67 | $33.95 | 280 120 |
Jun 14, 2024 | $33.81 | $33.88 | $33.64 | $33.86 | 321 243 |
Jun 13, 2024 | $34.46 | $34.46 | $34.09 | $34.21 | 354 303 |
Jun 12, 2024 | $34.90 | $34.98 | $34.67 | $34.73 | 523 156 |
Jun 11, 2024 | $34.34 | $34.42 | $34.20 | $34.34 | 165 761 |
Jun 10, 2024 | $34.57 | $34.78 | $34.51 | $34.74 | 231 911 |
Jun 07, 2024 | $34.86 | $34.96 | $34.73 | $34.75 | 235 764 |
Jun 06, 2024 | $35.02 | $35.13 | $35.02 | $35.12 | 335 637 |
Jun 05, 2024 | $35.00 | $35.06 | $34.82 | $35.06 | 524 881 |
Jun 04, 2024 | $34.82 | $34.93 | $34.72 | $34.85 | 338 631 |
Jun 03, 2024 | $35.00 | $35.05 | $34.82 | $34.92 | 338 372 |
May 31, 2024 | $34.72 | $34.89 | $34.59 | $34.87 | 261 378 |
May 30, 2024 | $34.46 | $34.63 | $34.43 | $34.53 | 321 249 |
May 29, 2024 | $34.40 | $34.41 | $34.23 | $34.25 | 239 107 |
May 28, 2024 | $34.94 | $34.95 | $34.68 | $34.80 | 252 916 |
May 24, 2024 | $34.70 | $34.86 | $34.69 | $34.80 | 235 806 |
May 23, 2024 | $34.94 | $34.94 | $34.43 | $34.50 | 176 786 |
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 GSIE stock historical prices to predict future price movements?
Trend Analysis: Examine the GSIE 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 GSIE 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.