NYSE:CLNY
Delisted
Colony Capital, Inc. Stock Price (Quote)
$8.50
+0 (+0%)
At Close: Dec 08, 2021
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.50 | $8.50 | Wednesday, 8th Dec 2021 CLNY stock ended at $8.50. During the day the stock fluctuated 0% from a day low at $8.50 to a day high of $8.50. |
90 days | $8.50 | $8.50 | |
52 weeks | $4.34 | $8.70 |
Date | Open | High | Low | Close | Volume |
Oct 04, 2018 | $5.96 | $5.96 | $5.79 | $5.86 | 3 003 809 |
Oct 03, 2018 | $6.04 | $6.07 | $5.95 | $5.99 | 2 330 621 |
Oct 02, 2018 | $6.07 | $6.10 | $6.04 | $6.04 | 1 097 193 |
Oct 01, 2018 | $6.09 | $6.19 | $6.06 | $6.08 | 1 662 583 |
Sep 28, 2018 | $6.01 | $6.10 | $5.98 | $6.09 | 2 335 889 |
Sep 27, 2018 | $5.96 | $6.08 | $5.93 | $6.00 | 5 283 463 |
Sep 26, 2018 | $6.15 | $6.16 | $6.00 | $6.00 | 2 515 641 |
Sep 25, 2018 | $6.17 | $6.20 | $6.12 | $6.14 | 1 759 504 |
Sep 24, 2018 | $6.18 | $6.20 | $6.10 | $6.15 | 2 166 904 |
Sep 21, 2018 | $6.20 | $6.23 | $6.17 | $6.20 | 4 897 727 |
Sep 20, 2018 | $6.15 | $6.27 | $6.14 | $6.21 | 2 187 571 |
Sep 19, 2018 | $6.23 | $6.27 | $6.13 | $6.15 | 2 186 603 |
Sep 18, 2018 | $6.24 | $6.27 | $6.18 | $6.23 | 1 566 604 |
Sep 17, 2018 | $6.23 | $6.28 | $6.20 | $6.25 | 2 014 583 |
Sep 14, 2018 | $6.22 | $6.24 | $6.17 | $6.23 | 1 581 747 |
Sep 13, 2018 | $6.20 | $6.25 | $6.19 | $6.21 | 1 429 122 |
Sep 12, 2018 | $6.19 | $6.19 | $6.15 | $6.18 | 954 262 |
Sep 11, 2018 | $6.19 | $6.22 | $6.15 | $6.17 | 1 880 053 |
Sep 10, 2018 | $6.10 | $6.20 | $6.08 | $6.19 | 1 668 573 |
Sep 07, 2018 | $6.22 | $6.22 | $6.12 | $6.12 | 1 078 693 |
Sep 06, 2018 | $6.15 | $6.25 | $6.14 | $6.21 | 2 536 366 |
Sep 05, 2018 | $6.12 | $6.15 | $6.11 | $6.13 | 1 950 976 |
Sep 04, 2018 | $6.14 | $6.16 | $6.07 | $6.12 | 1 231 607 |
Aug 31, 2018 | $6.04 | $6.15 | $6.04 | $6.13 | 2 118 902 |
Aug 30, 2018 | $6.15 | $6.15 | $6.05 | $6.05 | 1 330 813 |
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 CLNY stock historical prices to predict future price movements?
Trend Analysis: Examine the CLNY 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 CLNY 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.