NYSE:SNA
Snap-On Incorporated Stock Price (Quote)
$270.89
+0.610 (+0.226%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $266.51 | $282.27 | Friday, 24th May 2024 SNA stock ended at $270.89. This is 0.226% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 1.15% from a day low at $269.57 to a day high of $272.66. |
90 days | $261.33 | $298.49 | |
52 weeks | $248.07 | $298.49 |
Date | Open | High | Low | Close | Volume |
Apr 04, 2016 | $158.90 | $158.90 | $154.40 | $154.90 | 500 290 |
Apr 01, 2016 | $156.00 | $159.36 | $155.50 | $159.24 | 516 613 |
Mar 31, 2016 | $158.91 | $158.91 | $156.49 | $156.99 | 671 498 |
Mar 30, 2016 | $159.00 | $160.00 | $158.35 | $159.08 | 144 875 |
Mar 29, 2016 | $156.94 | $158.94 | $156.06 | $158.78 | 275 700 |
Mar 28, 2016 | $157.78 | $158.54 | $156.84 | $158.10 | 258 300 |
Mar 24, 2016 | $155.02 | $158.10 | $154.28 | $157.84 | 433 400 |
Mar 23, 2016 | $156.72 | $157.09 | $155.26 | $155.81 | 282 800 |
Mar 22, 2016 | $157.90 | $158.21 | $156.22 | $156.87 | 467 400 |
Mar 21, 2016 | $155.64 | $158.57 | $154.90 | $158.02 | 375 900 |
Mar 18, 2016 | $156.34 | $157.04 | $155.33 | $155.33 | 728 000 |
Mar 17, 2016 | $155.81 | $156.33 | $155.23 | $156.00 | 665 200 |
Mar 16, 2016 | $154.29 | $156.52 | $153.85 | $155.91 | 303 000 |
Mar 15, 2016 | $152.67 | $155.25 | $152.34 | $154.97 | 327 800 |
Mar 14, 2016 | $152.26 | $154.45 | $152.25 | $154.10 | 370 400 |
Mar 11, 2016 | $151.53 | $153.41 | $151.53 | $152.80 | 293 200 |
Mar 10, 2016 | $152.16 | $152.25 | $148.45 | $150.36 | 535 100 |
Mar 09, 2016 | $152.37 | $152.80 | $150.50 | $151.37 | 403 100 |
Mar 08, 2016 | $152.03 | $153.10 | $150.22 | $151.96 | 475 300 |
Mar 07, 2016 | $153.48 | $155.44 | $152.91 | $153.87 | 438 400 |
Mar 04, 2016 | $153.90 | $156.00 | $152.89 | $154.04 | 671 600 |
Mar 03, 2016 | $150.81 | $154.52 | $149.86 | $154.07 | 658 100 |
Mar 02, 2016 | $149.74 | $151.61 | $149.32 | $150.81 | 578 200 |
Mar 01, 2016 | $146.14 | $151.05 | $144.92 | $150.55 | 727 900 |
Feb 29, 2016 | $146.67 | $147.84 | $144.61 | $144.67 | 404 900 |
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.