NYSE:SNA
Snap-On Incorporated Stock Price (Quote)
$272.86
+4.63 (+1.73%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $264.63 | $282.27 | Friday, 31st May 2024 SNA stock ended at $272.86. This is 1.73% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.62% from a day low at $266.31 to a day high of $273.28. |
90 days | $261.33 | $298.49 | |
52 weeks | $249.84 | $298.49 |
Historical Snap-On Incorporated prices
Date | Open | High | Low | Close | Volume |
Jul 26, 2016 | $158.74 | $158.74 | $157.25 | $157.16 | 398 600 |
Jul 25, 2016 | $157.97 | $158.25 | $157.79 | $157.52 | 443 800 |
Jul 22, 2016 | $156.83 | $159.69 | $156.39 | $157.64 | 454 400 |
Jul 21, 2016 | $155.31 | $159.89 | $155.31 | $155.41 | 1 007 400 |
Jul 20, 2016 | $160.56 | $161.72 | $160.20 | $160.97 | 553 000 |
Jul 19, 2016 | $160.00 | $160.65 | $159.14 | $159.43 | 440 600 |
Jul 18, 2016 | $161.74 | $161.74 | $160.79 | $160.66 | 484 500 |
Jul 15, 2016 | $163.03 | $163.67 | $162.22 | $161.76 | 293 300 |
Jul 14, 2016 | $163.85 | $163.98 | $162.12 | $162.05 | 373 000 |
Jul 13, 2016 | $163.48 | $163.48 | $162.04 | $161.75 | 264 400 |
Jul 12, 2016 | $162.10 | $162.72 | $161.03 | $162.05 | 390 200 |
Jul 11, 2016 | $160.75 | $161.95 | $160.28 | $160.75 | 325 100 |
Jul 08, 2016 | $158.69 | $160.32 | $158.32 | $159.52 | 485 100 |
Jul 07, 2016 | $156.06 | $157.57 | $156.06 | $156.62 | 375 900 |
Jul 06, 2016 | $154.59 | $156.57 | $154.47 | $155.71 | 549 100 |
Jul 05, 2016 | $156.97 | $156.97 | $153.85 | $154.42 | 557 700 |
Jul 01, 2016 | $158.03 | $159.16 | $157.53 | $157.37 | 657 400 |
Jun 30, 2016 | $154.83 | $157.84 | $153.84 | $157.19 | 854 100 |
Jun 29, 2016 | $152.68 | $154.47 | $151.54 | $153.59 | 473 500 |
Jun 28, 2016 | $149.81 | $151.33 | $149.27 | $150.65 | 621 400 |
Jun 27, 2016 | $148.73 | $149.90 | $147.50 | $147.44 | 627 800 |
Jun 24, 2016 | $151.23 | $152.05 | $149.18 | $149.53 | 1 045 200 |
Jun 23, 2016 | $153.88 | $155.68 | $153.88 | $155.00 | 546 800 |
Jun 22, 2016 | $154.49 | $154.97 | $152.05 | $151.75 | 393 400 |
Jun 21, 2016 | $154.39 | $155.20 | $153.99 | $153.90 | 470 800 |
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 SNA stock historical prices to predict future price movements?
Trend Analysis: Examine the SNA 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 SNA 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.