NYSE:FCH
Delisted
FelCor Lodging Trust Incorporated Fund Price (Quote)
$7.30
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.30 | $7.30 | Tuesday, 16th Jan 2018 FCH stock ended at $7.30. During the day the stock fluctuated 0% from a day low at $7.30 to a day high of $7.30. |
90 days | $7.30 | $7.30 | |
52 weeks | $6.74 | $9.13 |
Date | Open | High | Low | Close | Volume |
Apr 10, 2017 | $7.28 | $7.34 | $7.23 | $7.27 | 809 945 |
Apr 07, 2017 | $7.34 | $7.35 | $7.27 | $7.28 | 1 307 199 |
Apr 06, 2017 | $7.27 | $7.37 | $7.22 | $7.37 | 754 593 |
Apr 05, 2017 | $7.47 | $7.51 | $7.25 | $7.29 | 851 390 |
Apr 04, 2017 | $7.37 | $7.54 | $7.36 | $7.44 | 1 185 397 |
Apr 03, 2017 | $7.49 | $7.51 | $7.32 | $7.40 | 693 331 |
Mar 31, 2017 | $7.43 | $7.52 | $7.41 | $7.51 | 827 104 |
Mar 30, 2017 | $7.45 | $7.47 | $7.40 | $7.42 | 368 931 |
Mar 29, 2017 | $7.35 | $7.45 | $7.35 | $7.45 | 586 422 |
Mar 28, 2017 | $7.37 | $7.46 | $7.33 | $7.37 | 943 771 |
Mar 27, 2017 | $7.37 | $7.43 | $7.37 | $7.42 | 566 820 |
Mar 24, 2017 | $7.48 | $7.53 | $7.43 | $7.45 | 573 683 |
Mar 23, 2017 | $7.43 | $7.53 | $7.40 | $7.46 | 728 638 |
Mar 22, 2017 | $7.31 | $7.41 | $7.21 | $7.41 | 799 241 |
Mar 21, 2017 | $7.47 | $7.50 | $7.30 | $7.31 | 957 056 |
Mar 20, 2017 | $7.48 | $7.48 | $7.41 | $7.45 | 716 065 |
Mar 17, 2017 | $7.47 | $7.49 | $7.35 | $7.48 | 1 076 523 |
Mar 16, 2017 | $7.40 | $7.47 | $7.40 | $7.44 | 633 088 |
Mar 15, 2017 | $7.30 | $7.47 | $7.26 | $7.41 | 737 039 |
Mar 14, 2017 | $7.26 | $7.33 | $7.22 | $7.26 | 514 501 |
Mar 13, 2017 | $7.20 | $7.29 | $7.20 | $7.28 | 657 051 |
Mar 10, 2017 | $7.32 | $7.36 | $7.17 | $7.21 | 1 012 652 |
Mar 09, 2017 | $7.29 | $7.36 | $7.26 | $7.29 | 925 949 |
Mar 08, 2017 | $7.36 | $7.43 | $7.29 | $7.31 | 961 815 |
Mar 07, 2017 | $7.40 | $7.43 | $7.20 | $7.35 | 2 396 384 |
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 FCH stock historical prices to predict future price movements?
Trend Analysis: Examine the FCH 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 FCH 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.