NYSE:SSD
Simpson Manufacturing Company Inc Stock Price (Quote)
$180.12
-3.24 (-1.77%)
At Close: Dec 05, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $176.51 | $197.82 | Thursday, 5th Dec 2024 SSD stock ended at $180.12. This is 1.77% less than the trading day before Wednesday, 4th Dec 2024. During the day the stock fluctuated 1.79% from a day low at $180.02 to a day high of $183.24. |
90 days | $166.91 | $197.82 | |
52 weeks | $157.42 | $218.36 |
Historical Simpson Manufacturing Company Inc prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
Dec 05, 2024 | $183.24 | $183.24 | $180.02 | $180.12 | 159 626 |
Dec 04, 2024 | $184.09 | $184.09 | $182.08 | $183.36 | 63 865 |
Dec 03, 2024 | $186.86 | $186.86 | $184.41 | $184.95 | 62 021 |
Dec 02, 2024 | $187.84 | $187.84 | $185.25 | $185.84 | 105 668 |
Nov 29, 2024 | $188.64 | $188.96 | $186.89 | $188.40 | 103 532 |
Nov 27, 2024 | $188.92 | $190.75 | $186.33 | $186.83 | 127 243 |
Nov 26, 2024 | $195.05 | $195.05 | $186.36 | $187.87 | 146 278 |
Nov 25, 2024 | $186.53 | $197.82 | $186.53 | $197.08 | 227 927 |
Nov 22, 2024 | $182.75 | $185.24 | $181.00 | $184.73 | 117 717 |
Nov 21, 2024 | $178.94 | $181.65 | $177.80 | $181.24 | 93 510 |
Nov 20, 2024 | $178.80 | $179.83 | $177.12 | $179.00 | 117 560 |
Nov 19, 2024 | $177.76 | $179.01 | $176.51 | $178.89 | 102 987 |
Nov 18, 2024 | $180.48 | $180.89 | $178.17 | $178.90 | 74 491 |
Nov 15, 2024 | $182.22 | $182.22 | $179.08 | $180.37 | 97 955 |
Nov 14, 2024 | $184.31 | $184.70 | $182.14 | $182.60 | 102 514 |
Nov 13, 2024 | $185.97 | $187.60 | $183.97 | $183.97 | 129 491 |
Nov 12, 2024 | $189.33 | $189.33 | $184.02 | $184.27 | 117 709 |
Nov 11, 2024 | $191.23 | $192.22 | $189.20 | $190.10 | 93 713 |
Nov 08, 2024 | $187.78 | $190.15 | $186.98 | $189.23 | 164 634 |
Nov 07, 2024 | $185.88 | $188.24 | $185.25 | $187.09 | 169 774 |
Nov 06, 2024 | $186.41 | $188.52 | $181.30 | $184.10 | 599 472 |
Nov 05, 2024 | $178.54 | $182.20 | $178.54 | $180.95 | 256 820 |
Nov 04, 2024 | $178.25 | $181.41 | $178.25 | $179.48 | 235 380 |
Nov 01, 2024 | $180.25 | $181.60 | $177.92 | $178.79 | 282 503 |
Oct 31, 2024 | $180.32 | $182.57 | $178.31 | $179.79 | 215 333 |
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 SSD stock historical prices to predict future price movements?
Trend Analysis: Examine the SSD 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 SSD 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.