NYSE:SHOP
Shopify Stock Price (Quote)
$64.78
+0.470 (+0.731%)
At Close: Jun 25, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $56.31 | $68.21 | Tuesday, 25th Jun 2024 SHOP stock ended at $64.78. This is 0.731% more than the trading day before Monday, 24th Jun 2024. During the day the stock fluctuated 2.23% from a day low at $64.06 to a day high of $65.49. |
90 days | $56.31 | $79.38 | |
52 weeks | $45.50 | $91.57 |
Historical Shopify Inc prices
Date | Open | High | Low | Close | Volume |
Jun 25, 2024 | $64.48 | $65.49 | $64.06 | $64.78 | 5 406 586 |
Jun 24, 2024 | $65.62 | $65.82 | $63.41 | $64.31 | 8 367 103 |
Jun 21, 2024 | $63.81 | $65.19 | $63.41 | $65.03 | 6 712 589 |
Jun 20, 2024 | $64.38 | $64.87 | $63.16 | $63.88 | 7 079 911 |
Jun 18, 2024 | $65.90 | $66.11 | $63.97 | $64.25 | 10 742 102 |
Jun 17, 2024 | $67.25 | $67.33 | $64.75 | $66.52 | 12 030 409 |
Jun 14, 2024 | $65.86 | $68.21 | $65.43 | $67.66 | 17 821 363 |
Jun 13, 2024 | $65.60 | $65.79 | $64.13 | $64.69 | 9 136 616 |
Jun 12, 2024 | $64.62 | $66.51 | $64.22 | $65.47 | 13 525 383 |
Jun 11, 2024 | $63.87 | $64.69 | $63.23 | $63.82 | 11 424 522 |
Jun 10, 2024 | $61.38 | $63.74 | $61.27 | $63.01 | 10 499 495 |
Jun 07, 2024 | $61.28 | $61.94 | $60.66 | $61.59 | 7 009 166 |
Jun 06, 2024 | $60.15 | $61.48 | $60.15 | $61.46 | 7 342 410 |
Jun 05, 2024 | $61.18 | $61.68 | $60.28 | $61.25 | 10 736 398 |
Jun 04, 2024 | $59.46 | $60.69 | $59.21 | $60.68 | 11 207 679 |
Jun 03, 2024 | $59.41 | $59.94 | $58.38 | $59.70 | 8 265 875 |
May 31, 2024 | $58.80 | $59.23 | $57.75 | $59.15 | 10 626 636 |
May 30, 2024 | $58.41 | $58.78 | $57.91 | $58.54 | 9 399 345 |
May 29, 2024 | $57.55 | $58.57 | $57.26 | $58.37 | 7 637 591 |
May 28, 2024 | $57.01 | $58.22 | $56.31 | $58.19 | 10 320 028 |
May 24, 2024 | $57.11 | $58.06 | $56.91 | $56.97 | 8 321 169 |
May 23, 2024 | $58.61 | $59.06 | $57.48 | $57.64 | 10 522 737 |
May 22, 2024 | $58.88 | $60.11 | $58.21 | $58.70 | 17 345 676 |
May 21, 2024 | $58.50 | $58.55 | $57.01 | $57.02 | 12 781 842 |
May 20, 2024 | $58.87 | $59.21 | $58.30 | $58.91 | 7 718 278 |
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.