NASDAQ:COLM
Columbia Sportswear Company Stock Price (Quote)
$84.01
+0.420 (+0.502%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $73.05 | $86.73 | Thursday, 16th May 2024 COLM stock ended at $84.01. This is 0.502% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 0.791% from a day low at $83.44 to a day high of $84.10. |
90 days | $73.05 | $86.73 | |
52 weeks | $66.06 | $86.73 |
Date | Open | High | Low | Close | Volume |
Mar 16, 2020 | $60.00 | $65.29 | $58.05 | $59.92 | 804 674 |
Mar 13, 2020 | $66.72 | $70.37 | $63.27 | $70.23 | 639 572 |
Mar 12, 2020 | $64.84 | $67.93 | $63.42 | $64.28 | 665 655 |
Mar 11, 2020 | $73.52 | $73.52 | $67.82 | $69.08 | 694 864 |
Mar 10, 2020 | $75.04 | $75.40 | $71.95 | $75.28 | 508 875 |
Mar 09, 2020 | $74.46 | $75.53 | $70.89 | $72.92 | 604 850 |
Mar 06, 2020 | $77.21 | $79.83 | $76.94 | $78.81 | 369 797 |
Mar 05, 2020 | $80.34 | $84.36 | $78.60 | $79.54 | 358 406 |
Mar 04, 2020 | $79.10 | $82.38 | $77.66 | $82.24 | 683 466 |
Mar 03, 2020 | $81.97 | $83.10 | $78.04 | $78.13 | 710 561 |
Mar 02, 2020 | $81.85 | $82.44 | $79.91 | $81.97 | 841 053 |
Feb 28, 2020 | $81.20 | $83.85 | $79.64 | $81.29 | 794 098 |
Feb 27, 2020 | $82.96 | $86.58 | $81.46 | $83.69 | 689 594 |
Feb 26, 2020 | $85.17 | $86.96 | $84.37 | $84.39 | 646 074 |
Feb 25, 2020 | $88.30 | $88.57 | $84.15 | $84.68 | 859 910 |
Feb 24, 2020 | $88.09 | $89.89 | $87.29 | $88.04 | 648 829 |
Feb 21, 2020 | $91.27 | $91.48 | $90.20 | $90.89 | 450 082 |
Feb 20, 2020 | $90.30 | $91.65 | $90.17 | $91.58 | 291 761 |
Feb 19, 2020 | $91.34 | $91.35 | $90.16 | $90.17 | 353 529 |
Feb 18, 2020 | $91.52 | $91.52 | $90.62 | $90.89 | 230 587 |
Feb 14, 2020 | $91.40 | $91.80 | $90.83 | $91.43 | 199 933 |
Feb 13, 2020 | $91.53 | $91.89 | $90.51 | $91.08 | 249 725 |
Feb 12, 2020 | $90.76 | $92.58 | $90.72 | $91.71 | 600 113 |
Feb 11, 2020 | $90.07 | $90.65 | $88.89 | $90.44 | 468 087 |
Feb 10, 2020 | $90.53 | $90.91 | $89.41 | $89.83 | 736 288 |
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.