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 |
Historical RadiSys Corporation prices
Date | Open | High | Low | Close | Volume |
Nov 22, 2017 | $0.80 | $0.81 | $0.760 | $0.780 | 467 928 |
Nov 21, 2017 | $0.81 | $0.87 | $0.760 | $0.80 | 622 429 |
Nov 20, 2017 | $0.87 | $0.88 | $0.81 | $0.81 | 451 510 |
Nov 17, 2017 | $0.86 | $0.90 | $0.780 | $0.87 | 674 056 |
Nov 16, 2017 | $0.84 | $0.90 | $0.760 | $0.87 | 900 222 |
Nov 15, 2017 | $0.780 | $0.84 | $0.730 | $0.83 | 443 531 |
Nov 14, 2017 | $0.730 | $0.80 | $0.720 | $0.780 | 604 934 |
Nov 13, 2017 | $0.770 | $0.770 | $0.710 | $0.741 | 835 584 |
Nov 10, 2017 | $0.670 | $0.80 | $0.630 | $0.750 | 1 631 385 |
Nov 09, 2017 | $0.85 | $0.87 | $0.640 | $0.670 | 2 091 477 |
Nov 08, 2017 | $1.15 | $1.20 | $0.81 | $0.87 | 1 967 552 |
Nov 07, 2017 | $1.35 | $1.36 | $1.25 | $1.28 | 212 522 |
Nov 06, 2017 | $1.35 | $1.39 | $1.34 | $1.38 | 205 946 |
Nov 03, 2017 | $1.35 | $1.38 | $1.29 | $1.34 | 242 815 |
Nov 02, 2017 | $1.29 | $1.34 | $1.24 | $1.33 | 138 288 |
Nov 01, 2017 | $1.32 | $1.37 | $1.29 | $1.29 | 95 991 |
Oct 31, 2017 | $1.29 | $1.32 | $1.26 | $1.32 | 81 693 |
Oct 30, 2017 | $1.28 | $1.32 | $1.26 | $1.28 | 191 557 |
Oct 27, 2017 | $1.32 | $1.38 | $1.26 | $1.30 | 280 926 |
Oct 26, 2017 | $1.28 | $1.39 | $1.28 | $1.32 | 288 810 |
Oct 25, 2017 | $1.29 | $1.30 | $1.23 | $1.28 | 249 159 |
Oct 24, 2017 | $1.29 | $1.32 | $1.25 | $1.28 | 361 271 |
Oct 23, 2017 | $1.33 | $1.35 | $1.26 | $1.29 | 272 662 |
Oct 20, 2017 | $1.32 | $1.34 | $1.26 | $1.31 | 1 087 628 |
Oct 19, 2017 | $1.27 | $1.32 | $1.24 | $1.30 | 404 666 |
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.