NYSE:RAAS
Delisted
Cloopen Group Holding Limited Stock Price (Quote)
$1.13
+0 (+0%)
At Close: Aug 15, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.13 | $1.13 | Tuesday, 15th Aug 2023 RAAS stock ended at $1.13. During the day the stock fluctuated 0% from a day low at $1.13 to a day high of $1.13. |
90 days | $1.13 | $1.13 | |
52 weeks | $0.590 | $2.20 |
Historical Cloopen Group Holding Limited prices
Date | Open | High | Low | Close | Volume |
Aug 16, 2022 | $0.90 | $0.99 | $0.89 | $0.97 | 154 189 |
Aug 15, 2022 | $0.95 | $0.96 | $0.93 | $0.94 | 92 583 |
Aug 12, 2022 | $0.95 | $0.96 | $0.92 | $0.94 | 225 277 |
Aug 11, 2022 | $0.96 | $1.00 | $0.96 | $0.97 | 88 879 |
Aug 10, 2022 | $0.99 | $1.00 | $0.96 | $0.98 | 118 064 |
Aug 09, 2022 | $0.97 | $1.00 | $0.97 | $0.98 | 107 407 |
Aug 08, 2022 | $0.97 | $1.02 | $0.97 | $1.00 | 74 930 |
Aug 05, 2022 | $1.00 | $1.01 | $0.99 | $0.99 | 192 687 |
Aug 04, 2022 | $1.05 | $1.09 | $1.04 | $1.05 | 109 372 |
Aug 03, 2022 | $0.98 | $1.07 | $0.98 | $1.02 | 201 897 |
Aug 02, 2022 | $1.01 | $1.04 | $0.97 | $1.01 | 100 787 |
Aug 01, 2022 | $0.97 | $1.03 | $0.97 | $1.00 | 63 249 |
Jul 29, 2022 | $1.01 | $1.01 | $0.97 | $0.97 | 64 803 |
Jul 28, 2022 | $1.00 | $1.03 | $0.97 | $1.03 | 54 841 |
Jul 27, 2022 | $1.01 | $1.01 | $0.95 | $1.00 | 99 410 |
Jul 26, 2022 | $1.01 | $1.03 | $0.91 | $1.01 | 174 336 |
Jul 25, 2022 | $1.16 | $1.16 | $0.90 | $1.07 | 284 785 |
Jul 22, 2022 | $1.13 | $1.18 | $1.07 | $1.07 | 216 846 |
Jul 21, 2022 | $1.11 | $1.14 | $1.05 | $1.13 | 113 230 |
Jul 20, 2022 | $1.11 | $1.13 | $1.06 | $1.09 | 54 705 |
Jul 19, 2022 | $1.08 | $1.15 | $1.05 | $1.11 | 73 314 |
Jul 18, 2022 | $1.10 | $1.11 | $1.00 | $1.11 | 267 952 |
Jul 15, 2022 | $0.95 | $1.01 | $0.95 | $1.01 | 30 564 |
Jul 14, 2022 | $1.00 | $1.01 | $0.98 | $0.99 | 70 443 |
Jul 13, 2022 | $0.95 | $1.05 | $0.94 | $1.02 | 101 083 |
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 RAAS stock historical prices to predict future price movements?
Trend Analysis: Examine the RAAS 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 RAAS 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.