RAK Properties PJSC Stock Price (Quote)
$1.24
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.16 | $1.25 | Thursday, 16th May 2024 RAKPROP.UH stock ended at $1.24. During the day the stock fluctuated 0% from a day low at $1.24 to a day high of $1.24. |
90 days | $1.16 | $1.36 | |
52 weeks | $0.611 | $1.43 |
Date | Open | High | Low | Close | Volume |
Jan 10, 2024 | $1.31 | $1.31 | $1.28 | $1.31 | 29 776 792 |
Jan 09, 2024 | $1.29 | $1.32 | $1.26 | $1.30 | 65 797 784 |
Jan 08, 2024 | $1.28 | $1.31 | $1.28 | $1.30 | 57 537 284 |
Jan 07, 2024 | $1.16 | $1.16 | $1.16 | $1.16 | 0 |
Jan 05, 2024 | $1.24 | $1.28 | $1.23 | $1.28 | 53 900 200 |
Jan 04, 2024 | $1.16 | $1.16 | $1.16 | $1.16 | 0 |
Jan 03, 2024 | $1.16 | $1.23 | $1.15 | $1.21 | 77 382 672 |
Jan 02, 2024 | $1.16 | $1.16 | $1.14 | $1.16 | 9 685 601 |
Dec 29, 2023 | $1.14 | $1.17 | $1.13 | $1.17 | 13 911 022 |
Dec 28, 2023 | $1.17 | $1.17 | $1.14 | $1.14 | 17 812 364 |
Dec 27, 2023 | $1.18 | $1.18 | $1.16 | $1.18 | 5 238 665 |
Dec 26, 2023 | $1.18 | $1.18 | $1.16 | $1.16 | 3 917 269 |
Dec 25, 2023 | $1.16 | $1.20 | $1.16 | $1.18 | 30 605 464 |
Dec 24, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 0 |
Dec 22, 2023 | $1.12 | $1.17 | $1.12 | $1.16 | 32 073 492 |
Dec 21, 2023 | $1.13 | $1.15 | $1.11 | $1.13 | 13 153 410 |
Dec 20, 2023 | $1.08 | $1.13 | $1.08 | $1.13 | 16 667 109 |
Dec 19, 2023 | $1.12 | $1.12 | $1.08 | $1.09 | 10 980 239 |
Dec 18, 2023 | $1.13 | $1.14 | $1.09 | $1.11 | 42 694 408 |
Dec 17, 2023 | $1.00 | $1.00 | $1.00 | $1.00 | 0 |
Dec 15, 2023 | $1.06 | $1.15 | $1.06 | $1.12 | 77 859 296 |
Dec 14, 2023 | $1.02 | $1.07 | $1.02 | $1.06 | 32 075 856 |
Dec 13, 2023 | $1.00 | $1.03 | $0.99 | $1.02 | 24 666 540 |
Dec 12, 2023 | $0.97 | $1.00 | $0.96 | $0.99 | 6 196 378 |
Dec 11, 2023 | $0.97 | $0.99 | $0.97 | $0.97 | 1 548 451 |
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 RAKPROP.UH stock historical prices to predict future price movements?
Trend Analysis: Examine the RAKPROP.UH 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 RAKPROP.UH 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.