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 |
Apr 14, 2022 | $88.25 | $89.42 | $87.78 | $88.41 | 160 902 |
Apr 13, 2022 | $86.68 | $88.44 | $86.68 | $88.04 | 165 507 |
Apr 12, 2022 | $87.97 | $89.35 | $86.50 | $86.80 | 215 116 |
Apr 11, 2022 | $86.75 | $88.16 | $85.66 | $86.83 | 322 755 |
Apr 08, 2022 | $87.03 | $87.94 | $85.97 | $87.17 | 205 300 |
Apr 07, 2022 | $85.95 | $87.67 | $85.51 | $86.88 | 269 300 |
Apr 06, 2022 | $87.90 | $87.96 | $85.72 | $86.40 | 339 600 |
Apr 05, 2022 | $90.93 | $90.93 | $88.28 | $88.81 | 417 800 |
Apr 04, 2022 | $89.97 | $91.69 | $89.67 | $91.39 | 324 000 |
Apr 01, 2022 | $91.00 | $93.40 | $90.00 | $90.22 | 138 089 |
Mar 31, 2022 | $93.14 | $93.39 | $90.49 | $90.53 | 310 990 |
Mar 30, 2022 | $94.04 | $94.34 | $93.20 | $93.80 | 177 019 |
Mar 29, 2022 | $93.00 | $95.01 | $93.00 | $94.60 | 178 400 |
Mar 28, 2022 | $91.99 | $91.99 | $90.50 | $91.75 | 245 100 |
Mar 25, 2022 | $91.81 | $92.12 | $90.83 | $92.04 | 189 700 |
Mar 24, 2022 | $91.31 | $91.52 | $90.32 | $91.25 | 133 800 |
Mar 23, 2022 | $92.38 | $92.97 | $90.67 | $90.68 | 204 700 |
Mar 22, 2022 | $94.64 | $95.33 | $91.94 | $92.56 | 245 525 |
Mar 21, 2022 | $94.26 | $94.27 | $92.52 | $93.95 | 300 611 |
Mar 18, 2022 | $93.27 | $93.82 | $92.68 | $93.65 | 494 675 |
Mar 17, 2022 | $92.12 | $94.46 | $91.64 | $94.33 | 387 800 |
Mar 16, 2022 | $90.34 | $92.95 | $89.45 | $92.68 | 552 100 |
Mar 15, 2022 | $87.26 | $88.94 | $86.73 | $88.63 | 671 600 |
Mar 14, 2022 | $86.77 | $88.78 | $86.17 | $86.46 | 631 500 |
Mar 11, 2022 | $87.30 | $89.11 | $85.51 | $85.56 | 568 400 |
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.