NYSE:SHOP
Shopify Stock Price (Quote)
$58.53
+0.720 (+1.25%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $56.92 | $77.83 | Friday, 17th May 2024 SHOP stock ended at $58.53. This is 1.25% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.72% from a day low at $57.04 to a day high of $58.59. |
90 days | $56.92 | $83.39 | |
52 weeks | $45.50 | $91.57 |
Date | Open | High | Low | Close | Volume |
Apr 14, 2023 | $45.51 | $46.48 | $45.11 | $46.39 | 9 796 045 |
Apr 13, 2023 | $45.75 | $46.72 | $45.63 | $45.73 | 12 848 280 |
Apr 12, 2023 | $47.14 | $48.75 | $45.22 | $45.30 | 30 843 641 |
Apr 11, 2023 | $45.09 | $45.55 | $44.18 | $44.78 | 9 261 605 |
Apr 10, 2023 | $44.69 | $45.61 | $44.05 | $45.35 | 9 581 037 |
Apr 06, 2023 | $44.68 | $45.63 | $43.50 | $45.35 | 11 902 265 |
Apr 05, 2023 | $47.34 | $47.42 | $45.18 | $45.19 | 12 265 103 |
Apr 04, 2023 | $47.78 | $48.26 | $47.32 | $47.59 | 11 369 092 |
Apr 03, 2023 | $47.25 | $47.76 | $46.58 | $47.68 | 10 340 905 |
Mar 31, 2023 | $46.49 | $48.14 | $45.95 | $47.94 | 13 487 507 |
Mar 30, 2023 | $47.24 | $47.32 | $46.02 | $46.51 | 12 113 344 |
Mar 29, 2023 | $44.75 | $46.73 | $44.75 | $46.70 | 14 215 478 |
Mar 28, 2023 | $44.98 | $45.39 | $44.00 | $44.31 | 8 814 953 |
Mar 27, 2023 | $45.36 | $45.88 | $44.25 | $45.07 | 10 714 593 |
Mar 24, 2023 | $45.20 | $45.58 | $44.24 | $44.98 | 11 149 089 |
Mar 23, 2023 | $45.82 | $46.94 | $45.12 | $45.79 | 15 328 582 |
Mar 22, 2023 | $45.71 | $47.32 | $44.72 | $44.96 | 17 010 201 |
Mar 21, 2023 | $44.10 | $46.05 | $44.10 | $45.74 | 14 726 239 |
Mar 20, 2023 | $44.11 | $44.24 | $42.78 | $43.88 | 15 327 660 |
Mar 17, 2023 | $44.23 | $45.38 | $43.75 | $44.68 | 17 916 454 |
Mar 16, 2023 | $43.49 | $44.85 | $42.02 | $44.67 | 15 383 817 |
Mar 15, 2023 | $42.63 | $43.56 | $42.09 | $43.54 | 16 992 367 |
Mar 14, 2023 | $42.96 | $44.21 | $42.86 | $43.80 | 16 847 212 |
Mar 13, 2023 | $40.52 | $42.77 | $39.79 | $41.78 | 18 913 545 |
Mar 10, 2023 | $42.14 | $42.64 | $40.52 | $41.46 | 21 920 531 |
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 SHOP stock historical prices to predict future price movements?
Trend Analysis: Examine the SHOP 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 SHOP 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.