NYSEARCA:SPY
SPY ETF Price (Quote)
$527.37
+4.76 (+0.91%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $499.55 | $533.06 | Friday, 31st May 2024 SPY stock ended at $527.37. This is 0.91% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.76% from a day low at $518.37 to a day high of $527.50. |
90 days | $493.86 | $533.06 | |
52 weeks | $409.21 | $533.06 |
Historical SPDR S&P 500 ETF prices
Date | Open | High | Low | Close | Volume |
Mar 01, 2017 | $238.39 | $240.32 | $238.37 | $239.78 | 134 841 113 |
Feb 28, 2017 | $236.67 | $236.95 | $236.01 | $236.47 | 93 044 174 |
Feb 27, 2017 | $236.64 | $237.31 | $236.35 | $237.11 | 55 321 650 |
Feb 24, 2017 | $235.46 | $236.79 | $235.41 | $236.74 | 81 965 567 |
Feb 23, 2017 | $236.88 | $236.90 | $235.56 | $236.44 | 72 429 415 |
Feb 22, 2017 | $236.02 | $236.54 | $235.83 | $236.28 | 61 628 263 |
Feb 21, 2017 | $235.52 | $236.69 | $235.51 | $236.49 | 85 417 634 |
Feb 17, 2017 | $233.95 | $235.09 | $233.93 | $235.09 | 72 163 837 |
Feb 16, 2017 | $234.96 | $235.15 | $233.85 | $234.72 | 82 110 675 |
Feb 15, 2017 | $233.45 | $235.14 | $233.39 | $234.92 | 84 505 102 |
Feb 14, 2017 | $232.56 | $233.71 | $232.16 | $233.70 | 68 665 583 |
Feb 13, 2017 | $232.08 | $233.07 | $232.05 | $232.77 | 54 133 637 |
Feb 10, 2017 | $231.00 | $231.77 | $230.62 | $231.51 | 65 350 384 |
Feb 09, 2017 | $229.56 | $230.95 | $229.52 | $230.60 | 65 181 116 |
Feb 08, 2017 | $228.61 | $229.39 | $228.31 | $229.24 | 51 149 256 |
Feb 07, 2017 | $229.38 | $229.66 | $228.72 | $228.94 | 57 344 294 |
Feb 06, 2017 | $228.87 | $229.33 | $228.54 | $228.93 | 56 354 325 |
Feb 03, 2017 | $228.82 | $229.55 | $228.46 | $229.34 | 79 182 285 |
Feb 02, 2017 | $227.20 | $228.10 | $226.82 | $227.77 | 69 657 560 |
Feb 01, 2017 | $228.26 | $228.59 | $226.94 | $227.62 | 78 623 467 |
Jan 31, 2017 | $226.98 | $227.60 | $226.32 | $227.53 | 73 902 495 |
Jan 30, 2017 | $228.17 | $228.20 | $226.41 | $227.55 | 77 801 275 |
Jan 27, 2017 | $229.42 | $229.59 | $228.76 | $228.97 | 57 407 981 |
Jan 26, 2017 | $229.40 | $229.71 | $229.01 | $229.33 | 59 059 477 |
Jan 25, 2017 | $228.70 | $229.57 | $228.51 | $229.57 | 82 864 241 |
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 SPY stock historical prices to predict future price movements?
Trend Analysis: Examine the SPY 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 SPY 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.