NYSE:COMP
Compass, Inc. Stock Price (Quote)
$4.30
-0.0500 (-1.15%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.03 | $4.68 | Friday, 17th May 2024 COMP stock ended at $4.30. This is 1.15% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.46% from a day low at $4.19 to a day high of $4.34. |
90 days | $2.89 | $4.68 | |
52 weeks | $1.82 | $4.68 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | $4.33 | $4.34 | $4.19 | $4.30 | 3 348 021 |
May 16, 2024 | $4.38 | $4.48 | $4.34 | $4.35 | 3 331 748 |
May 15, 2024 | $4.50 | $4.68 | $4.38 | $4.41 | 7 411 389 |
May 14, 2024 | $4.21 | $4.40 | $4.19 | $4.32 | 6 217 527 |
May 13, 2024 | $3.97 | $4.38 | $3.97 | $4.12 | 6 537 070 |
May 10, 2024 | $4.01 | $4.06 | $3.80 | $3.90 | 6 547 894 |
May 09, 2024 | $3.66 | $4.07 | $3.66 | $4.06 | 9 757 208 |
May 08, 2024 | $3.28 | $3.31 | $3.21 | $3.28 | 2 826 414 |
May 07, 2024 | $3.34 | $3.43 | $3.32 | $3.40 | 2 080 670 |
May 06, 2024 | $3.42 | $3.42 | $3.21 | $3.36 | 3 135 484 |
May 03, 2024 | $3.30 | $3.48 | $3.29 | $3.37 | 5 174 173 |
May 02, 2024 | $3.19 | $3.20 | $3.03 | $3.17 | 2 988 070 |
May 01, 2024 | $3.17 | $3.29 | $3.05 | $3.12 | 3 052 473 |
Apr 30, 2024 | $3.20 | $3.24 | $3.13 | $3.15 | 2 064 298 |
Apr 29, 2024 | $3.33 | $3.42 | $3.24 | $3.27 | 1 706 042 |
Apr 26, 2024 | $3.25 | $3.37 | $3.24 | $3.30 | 1 977 813 |
Apr 25, 2024 | $3.23 | $3.30 | $3.19 | $3.22 | 1 847 843 |
Apr 24, 2024 | $3.39 | $3.48 | $3.30 | $3.33 | 1 374 463 |
Apr 23, 2024 | $3.34 | $3.55 | $3.33 | $3.41 | 2 576 062 |
Apr 22, 2024 | $3.29 | $3.35 | $3.22 | $3.32 | 2 515 740 |
Apr 19, 2024 | $3.24 | $3.35 | $3.20 | $3.24 | 2 101 694 |
Apr 18, 2024 | $3.36 | $3.46 | $3.25 | $3.26 | 4 210 770 |
Apr 17, 2024 | $3.46 | $3.54 | $3.34 | $3.34 | 2 866 957 |
Apr 16, 2024 | $3.26 | $3.46 | $3.23 | $3.45 | 3 576 643 |
Apr 15, 2024 | $3.62 | $3.64 | $3.18 | $3.28 | 4 014 671 |
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 COMP stock historical prices to predict future price movements?
Trend Analysis: Examine the COMP 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 COMP 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.