NYSE:RNG
RingCentral, Inc. Stock Price (Quote)
$34.54
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $29.42 | $38.35 | Friday, 24th May 2024 RNG stock ended at $34.54. During the day the stock fluctuated 2.20% from a day low at $34.05 to a day high of $34.80. |
90 days | $29.07 | $38.35 | |
52 weeks | $25.08 | $43.28 |
Date | Open | High | Low | Close | Volume |
May 09, 2016 | $18.23 | $19.10 | $18.05 | $18.61 | 442 399 |
May 06, 2016 | $18.17 | $18.29 | $17.92 | $18.22 | 497 516 |
May 05, 2016 | $18.39 | $18.46 | $18.05 | $18.33 | 356 068 |
May 04, 2016 | $18.70 | $18.91 | $17.92 | $18.32 | 556 966 |
May 03, 2016 | $19.28 | $19.49 | $18.77 | $18.78 | 457 309 |
May 02, 2016 | $19.13 | $19.60 | $19.04 | $19.51 | 646 690 |
Apr 29, 2016 | $19.85 | $20.04 | $18.87 | $19.08 | 666 400 |
Apr 28, 2016 | $20.00 | $20.74 | $19.62 | $19.86 | 1 484 068 |
Apr 27, 2016 | $18.68 | $19.18 | $18.33 | $18.83 | 1 167 703 |
Apr 26, 2016 | $18.21 | $18.58 | $18.13 | $18.54 | 479 716 |
Apr 25, 2016 | $18.72 | $19.06 | $18.14 | $18.17 | 488 616 |
Apr 22, 2016 | $18.40 | $18.83 | $18.27 | $18.83 | 387 640 |
Apr 21, 2016 | $18.09 | $18.63 | $17.83 | $18.42 | 367 880 |
Apr 20, 2016 | $18.10 | $18.25 | $17.73 | $17.88 | 360 179 |
Apr 19, 2016 | $18.25 | $18.35 | $17.65 | $18.05 | 417 725 |
Apr 18, 2016 | $17.46 | $18.43 | $17.46 | $18.20 | 776 087 |
Apr 15, 2016 | $17.84 | $18.07 | $17.43 | $17.55 | 517 107 |
Apr 14, 2016 | $16.91 | $18.47 | $16.91 | $17.81 | 1 408 841 |
Apr 13, 2016 | $16.38 | $16.91 | $16.11 | $16.90 | 788 291 |
Apr 12, 2016 | $16.08 | $16.35 | $15.93 | $16.22 | 341 877 |
Apr 11, 2016 | $16.90 | $16.90 | $16.09 | $16.09 | 341 835 |
Apr 08, 2016 | $16.90 | $16.90 | $16.45 | $16.83 | 522 316 |
Apr 07, 2016 | $16.70 | $16.88 | $16.55 | $16.71 | 538 167 |
Apr 06, 2016 | $16.72 | $16.95 | $16.70 | $16.85 | 449 712 |
Apr 05, 2016 | $16.50 | $16.98 | $16.40 | $16.70 | 943 450 |
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 RNG stock historical prices to predict future price movements?
Trend Analysis: Examine the RNG 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 RNG 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.