NASDAQ:RSYS
Delisted
RadiSys Corporation Fund Price (Quote)
$1.72
+0 (+0%)
At Close: Dec 27, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.52 | $1.72 | Thursday, 27th Dec 2018 RSYS stock ended at $1.72. During the day the stock fluctuated 0% from a day low at $1.72 to a day high of $1.72. |
90 days | $1.47 | $1.72 | |
52 weeks | $0.530 | $1.72 |
Date | Open | High | Low | Close | Volume |
Feb 05, 2018 | $0.82 | $0.85 | $0.780 | $0.780 | 582 996 |
Feb 02, 2018 | $0.83 | $0.85 | $0.790 | $0.82 | 709 550 |
Feb 01, 2018 | $0.85 | $0.90 | $0.82 | $0.84 | 632 063 |
Jan 31, 2018 | $0.97 | $0.97 | $0.86 | $0.87 | 1 228 540 |
Jan 30, 2018 | $0.98 | $0.98 | $0.95 | $0.96 | 447 757 |
Jan 29, 2018 | $0.97 | $1.02 | $0.95 | $0.98 | 1 376 853 |
Jan 26, 2018 | $1.02 | $1.02 | $0.95 | $0.97 | 970 818 |
Jan 25, 2018 | $1.03 | $1.07 | $1.00 | $1.01 | 710 084 |
Jan 24, 2018 | $1.03 | $1.09 | $1.02 | $1.03 | 664 703 |
Jan 23, 2018 | $1.00 | $1.04 | $0.99 | $1.03 | 227 468 |
Jan 22, 2018 | $1.04 | $1.05 | $1.00 | $1.01 | 361 721 |
Jan 19, 2018 | $1.02 | $1.03 | $0.97 | $1.03 | 568 617 |
Jan 18, 2018 | $1.02 | $1.04 | $0.99 | $1.01 | 563 976 |
Jan 17, 2018 | $1.05 | $1.08 | $0.98 | $1.01 | 814 877 |
Jan 16, 2018 | $1.12 | $1.12 | $1.00 | $1.04 | 852 259 |
Jan 15, 2018 | $1.10 | $1.10 | $1.10 | $1.10 | 0 |
Jan 12, 2018 | $1.12 | $1.15 | $1.08 | $1.10 | 623 804 |
Jan 11, 2018 | $1.12 | $1.19 | $1.10 | $1.13 | 749 219 |
Jan 10, 2018 | $1.06 | $1.14 | $1.03 | $1.13 | 1 388 579 |
Jan 09, 2018 | $1.20 | $1.21 | $1.05 | $1.07 | 1 950 074 |
Jan 08, 2018 | $1.22 | $1.27 | $1.16 | $1.19 | 1 486 421 |
Jan 05, 2018 | $1.15 | $1.38 | $1.12 | $1.21 | 4 343 098 |
Jan 04, 2018 | $1.08 | $1.13 | $1.03 | $1.11 | 1 875 704 |
Jan 03, 2018 | $0.98 | $1.14 | $0.96 | $1.04 | 3 122 256 |
Jan 02, 2018 | $1.00 | $1.01 | $0.94 | $0.99 | 1 115 414 |
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 RSYS stock historical prices to predict future price movements?
Trend Analysis: Examine the RSYS 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 RSYS 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.