NASDAQ:RTL
Delisted
The Necessity Retail REIT, Inc. Stock Price (Quote)
$7.61
+0 (+0%)
At Close: Dec 08, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.61 | $7.61 | Friday, 8th Dec 2023 RTL stock ended at $7.61. During the day the stock fluctuated 0% from a day low at $7.61 to a day high of $7.61. |
90 days | $7.46 | $7.66 | |
52 weeks | $4.46 | $7.66 |
Date | Open | High | Low | Close | Volume |
Jul 18, 2023 | $7.29 | $7.43 | $7.26 | $7.32 | 763 688 |
Jul 17, 2023 | $7.18 | $7.30 | $7.01 | $7.27 | 1 009 090 |
Jul 14, 2023 | $7.10 | $7.20 | $7.03 | $7.18 | 1 042 145 |
Jul 13, 2023 | $7.21 | $7.26 | $7.07 | $7.14 | 629 166 |
Jul 12, 2023 | $7.19 | $7.28 | $7.19 | $7.20 | 710 587 |
Jul 11, 2023 | $7.18 | $7.39 | $7.12 | $7.35 | 1 013 412 |
Jul 10, 2023 | $7.03 | $7.16 | $6.96 | $7.14 | 556 305 |
Jul 07, 2023 | $6.96 | $7.13 | $6.95 | $7.04 | 514 799 |
Jul 06, 2023 | $6.97 | $6.98 | $6.75 | $6.95 | 632 981 |
Jul 05, 2023 | $7.00 | $7.29 | $6.90 | $7.06 | 963 993 |
Jul 03, 2023 | $6.81 | $7.05 | $6.81 | $7.00 | 663 401 |
Jun 30, 2023 | $6.84 | $6.88 | $6.64 | $6.76 | 1 173 317 |
Jun 29, 2023 | $6.48 | $6.77 | $6.46 | $6.77 | 603 985 |
Jun 28, 2023 | $6.59 | $6.60 | $6.47 | $6.52 | 520 502 |
Jun 27, 2023 | $6.46 | $6.63 | $6.39 | $6.61 | 540 470 |
Jun 26, 2023 | $6.21 | $6.52 | $6.21 | $6.45 | 440 137 |
Jun 23, 2023 | $6.31 | $6.40 | $6.16 | $6.25 | 1 261 191 |
Jun 22, 2023 | $6.60 | $6.60 | $6.36 | $6.41 | 537 441 |
Jun 21, 2023 | $6.80 | $6.88 | $6.60 | $6.60 | 744 070 |
Jun 20, 2023 | $7.01 | $7.01 | $6.82 | $6.86 | 852 618 |
Jun 16, 2023 | $7.25 | $7.25 | $6.94 | $7.04 | 2 145 458 |
Jun 15, 2023 | $7.02 | $7.24 | $6.99 | $7.23 | 842 213 |
Jun 14, 2023 | $7.00 | $7.15 | $7.00 | $7.06 | 1 084 014 |
Jun 13, 2023 | $6.84 | $7.07 | $6.84 | $6.98 | 924 117 |
Jun 12, 2023 | $6.73 | $6.92 | $6.73 | $6.88 | 654 041 |
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 RTL stock historical prices to predict future price movements?
Trend Analysis: Examine the RTL 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 RTL 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.