NYSEARCA:SPY
SPY ETF Price (Quote)
$529.50
+3.54 (+0.673%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $497.49 | $533.06 | Friday, 24th May 2024 SPY stock ended at $529.50. This is 0.673% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 0.643% from a day low at $526.88 to a day high of $530.27. |
90 days | $493.86 | $533.06 | |
52 weeks | $409.21 | $533.06 |
Date | Open | High | Low | Close | Volume |
Jun 14, 2016 | $208.00 | $208.74 | $206.92 | $206.96 | 125 059 300 |
Jun 13, 2016 | $209.36 | $210.37 | $208.35 | $207.37 | 117 751 200 |
Jun 10, 2016 | $210.46 | $210.86 | $209.43 | $208.98 | 113 829 200 |
Jun 09, 2016 | $211.51 | $212.22 | $211.19 | $210.98 | 73 786 900 |
Jun 08, 2016 | $211.84 | $212.52 | $211.69 | $211.27 | 66 170 900 |
Jun 07, 2016 | $211.53 | $212.34 | $211.50 | $210.59 | 60 974 800 |
Jun 06, 2016 | $210.70 | $211.77 | $210.51 | $210.26 | 64 887 000 |
Jun 03, 2016 | $210.25 | $210.69 | $208.86 | $209.19 | 101 757 100 |
Jun 02, 2016 | $209.80 | $210.93 | $209.24 | $209.82 | 63 044 700 |
Jun 01, 2016 | $209.12 | $210.48 | $208.89 | $209.18 | 69 936 200 |
May 31, 2016 | $210.56 | $210.69 | $209.18 | $208.75 | 109 879 400 |
May 27, 2016 | $209.53 | $210.25 | $209.47 | $209.15 | 64 211 200 |
May 26, 2016 | $209.44 | $209.71 | $208.97 | $208.26 | 55 280 700 |
May 25, 2016 | $208.67 | $209.77 | $207.87 | $208.20 | 76 621 400 |
May 24, 2016 | $206.17 | $208.24 | $206.14 | $206.79 | 93 537 800 |
May 23, 2016 | $205.51 | $205.84 | $204.99 | $204.15 | 58 682 600 |
May 20, 2016 | $204.92 | $206.10 | $204.86 | $204.43 | 104 990 400 |
May 19, 2016 | $204.06 | $204.54 | $202.78 | $203.14 | 115 430 500 |
May 18, 2016 | $204.44 | $206.30 | $203.63 | $203.85 | 123 493 400 |
May 17, 2016 | $206.46 | $206.80 | $204.23 | $203.79 | 114 924 900 |
May 16, 2016 | $204.96 | $207.34 | $204.89 | $205.71 | 77 486 800 |
May 13, 2016 | $206.21 | $206.86 | $204.38 | $203.70 | 96 474 600 |
May 12, 2016 | $207.29 | $207.49 | $205.37 | $205.49 | 89 586 300 |
May 11, 2016 | $207.91 | $208.54 | $206.50 | $205.43 | 81 727 000 |
May 10, 2016 | $206.72 | $208.47 | $206.64 | $207.37 | 77 472 200 |
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.