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 |
Apr 18, 2018 | $0.720 | $0.730 | $0.703 | $0.708 | 219 938 |
Apr 17, 2018 | $0.737 | $0.740 | $0.700 | $0.710 | 286 039 |
Apr 16, 2018 | $0.700 | $0.735 | $0.690 | $0.720 | 246 074 |
Apr 13, 2018 | $0.740 | $0.750 | $0.684 | $0.706 | 423 100 |
Apr 12, 2018 | $0.730 | $0.770 | $0.700 | $0.730 | 603 224 |
Apr 11, 2018 | $0.720 | $0.731 | $0.686 | $0.723 | 384 310 |
Apr 10, 2018 | $0.690 | $0.755 | $0.662 | $0.720 | 1 267 807 |
Apr 09, 2018 | $0.610 | $0.717 | $0.590 | $0.690 | 2 175 627 |
Apr 06, 2018 | $0.560 | $0.576 | $0.541 | $0.552 | 274 657 |
Apr 05, 2018 | $0.580 | $0.617 | $0.560 | $0.564 | 219 075 |
Apr 04, 2018 | $0.562 | $0.620 | $0.530 | $0.574 | 464 122 |
Apr 03, 2018 | $0.570 | $0.580 | $0.550 | $0.572 | 393 533 |
Apr 02, 2018 | $0.635 | $0.649 | $0.550 | $0.551 | 692 671 |
Mar 29, 2018 | $0.641 | $0.650 | $0.620 | $0.641 | 528 800 |
Mar 28, 2018 | $0.670 | $0.688 | $0.620 | $0.646 | 1 031 482 |
Mar 27, 2018 | $0.699 | $0.700 | $0.671 | $0.675 | 219 727 |
Mar 26, 2018 | $0.680 | $0.725 | $0.666 | $0.700 | 648 828 |
Mar 23, 2018 | $0.700 | $0.700 | $0.666 | $0.683 | 487 256 |
Mar 22, 2018 | $0.707 | $0.755 | $0.680 | $0.700 | 1 163 554 |
Mar 21, 2018 | $0.720 | $0.720 | $0.692 | $0.700 | 485 006 |
Mar 20, 2018 | $0.726 | $0.730 | $0.680 | $0.706 | 1 165 304 |
Mar 19, 2018 | $0.740 | $0.745 | $0.711 | $0.728 | 605 990 |
Mar 16, 2018 | $0.720 | $0.750 | $0.715 | $0.744 | 649 117 |
Mar 15, 2018 | $0.740 | $0.745 | $0.710 | $0.729 | 743 748 |
Mar 14, 2018 | $0.80 | $0.82 | $0.740 | $0.745 | 1 757 336 |
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.