NASDAQ:COLM
Columbia Sportswear Company Stock Price (Quote)
$83.61
-0.400 (-0.476%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $74.82 | $86.73 | Friday, 17th May 2024 COLM stock ended at $83.61. This is 0.476% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.20% from a day low at $83.23 to a day high of $84.23. |
90 days | $73.05 | $86.73 | |
52 weeks | $66.06 | $86.73 |
Date | Open | High | Low | Close | Volume |
Nov 17, 2022 | $79.42 | $81.20 | $79.12 | $80.88 | 154 416 |
Nov 16, 2022 | $81.45 | $81.96 | $79.28 | $80.67 | 151 642 |
Nov 15, 2022 | $82.16 | $83.53 | $81.55 | $82.74 | 156 506 |
Nov 14, 2022 | $81.04 | $81.45 | $80.11 | $80.99 | 151 974 |
Nov 11, 2022 | $77.60 | $81.67 | $77.60 | $81.13 | 281 670 |
Nov 10, 2022 | $75.09 | $77.10 | $75.03 | $77.03 | 359 107 |
Nov 09, 2022 | $74.19 | $74.64 | $72.04 | $72.13 | 246 815 |
Nov 08, 2022 | $75.08 | $75.97 | $73.91 | $74.56 | 279 131 |
Nov 07, 2022 | $76.79 | $76.79 | $74.02 | $74.71 | 232 784 |
Nov 04, 2022 | $75.42 | $76.96 | $74.89 | $76.02 | 254 000 |
Nov 03, 2022 | $73.41 | $74.96 | $72.25 | $73.86 | 355 846 |
Nov 02, 2022 | $74.38 | $77.02 | $73.43 | $73.52 | 622 110 |
Nov 01, 2022 | $75.73 | $76.11 | $74.43 | $74.73 | 535 230 |
Oct 31, 2022 | $76.25 | $76.85 | $74.41 | $74.50 | 624 189 |
Oct 28, 2022 | $74.51 | $78.13 | $73.51 | $77.06 | 955 004 |
Oct 27, 2022 | $75.91 | $76.30 | $72.32 | $73.60 | 953 106 |
Oct 26, 2022 | $75.20 | $76.69 | $74.81 | $75.55 | 327 752 |
Oct 25, 2022 | $74.30 | $76.10 | $74.30 | $75.71 | 342 512 |
Oct 24, 2022 | $73.27 | $74.19 | $72.36 | $74.05 | 270 282 |
Oct 21, 2022 | $70.86 | $72.81 | $70.54 | $72.66 | 234 363 |
Oct 20, 2022 | $73.10 | $74.01 | $70.85 | $71.05 | 268 427 |
Oct 19, 2022 | $72.69 | $73.25 | $71.76 | $72.68 | 305 246 |
Oct 18, 2022 | $73.43 | $74.39 | $72.59 | $73.20 | 336 146 |
Oct 17, 2022 | $73.05 | $73.24 | $71.97 | $72.19 | 480 326 |
Oct 14, 2022 | $73.13 | $73.63 | $71.49 | $71.74 | 346 989 |
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 COLM stock historical prices to predict future price movements?
Trend Analysis: Examine the COLM 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 COLM 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.