NYSE:ROYT
Delisted
Pacific Coast Oil Trust Stock Price (Quote)
$0.281
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.281 | $0.281 | Wednesday, 20th Jul 2022 ROYT stock ended at $0.281. During the day the stock fluctuated 0% from a day low at $0.281 to a day high of $0.281. |
90 days | $0.281 | $0.281 | |
52 weeks | $0.0500 | $0.300 |
Historical Pacific Coast Oil Trust prices
Date | Open | High | Low | Close | Volume |
Dec 23, 2016 | $1.00 | $1.03 | $0.98 | $1.00 | 505 391 |
Dec 22, 2016 | $1.05 | $1.05 | $1.01 | $1.01 | 424 951 |
Dec 21, 2016 | $1.04 | $1.07 | $1.02 | $1.04 | 114 280 |
Dec 20, 2016 | $1.01 | $1.07 | $1.01 | $1.05 | 610 757 |
Dec 19, 2016 | $1.08 | $1.09 | $1.01 | $1.01 | 172 513 |
Dec 16, 2016 | $1.09 | $1.14 | $1.07 | $1.09 | 281 889 |
Dec 15, 2016 | $1.08 | $1.13 | $1.02 | $1.07 | 184 010 |
Dec 14, 2016 | $1.11 | $1.15 | $1.07 | $1.09 | 156 588 |
Dec 13, 2016 | $1.14 | $1.19 | $1.06 | $1.10 | 266 847 |
Dec 12, 2016 | $1.17 | $1.27 | $1.02 | $1.12 | 654 677 |
Dec 09, 2016 | $1.18 | $1.22 | $1.02 | $1.06 | 199 924 |
Dec 08, 2016 | $1.20 | $1.20 | $1.11 | $1.15 | 198 013 |
Dec 07, 2016 | $1.24 | $1.24 | $1.18 | $1.19 | 91 461 |
Dec 06, 2016 | $1.20 | $1.27 | $1.20 | $1.26 | 58 304 |
Dec 05, 2016 | $1.25 | $1.35 | $1.20 | $1.22 | 278 382 |
Dec 02, 2016 | $1.16 | $1.28 | $1.13 | $1.22 | 307 250 |
Dec 01, 2016 | $1.30 | $1.40 | $1.21 | $1.25 | 482 541 |
Nov 30, 2016 | $1.23 | $1.31 | $1.23 | $1.28 | 211 085 |
Nov 29, 2016 | $1.28 | $1.28 | $1.18 | $1.19 | 141 564 |
Nov 28, 2016 | $1.37 | $1.37 | $1.28 | $1.29 | 95 285 |
Nov 25, 2016 | $1.30 | $1.37 | $1.30 | $1.32 | 71 849 |
Nov 23, 2016 | $1.37 | $1.38 | $1.25 | $1.32 | 210 978 |
Nov 22, 2016 | $1.25 | $1.38 | $1.25 | $1.36 | 229 263 |
Nov 21, 2016 | $1.25 | $1.33 | $1.24 | $1.26 | 207 710 |
Nov 18, 2016 | $1.21 | $1.23 | $1.16 | $1.23 | 108 755 |
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 ROYT stock historical prices to predict future price movements?
Trend Analysis: Examine the ROYT 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 ROYT 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.