NYSE:CYS
Delisted
CYS Investments Inc Fund Price (Quote)
$7.31
+0 (+0%)
At Close: Dec 31, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.31 | $7.31 | Monday, 31st Dec 2018 CYS stock ended at $7.31. During the day the stock fluctuated 0% from a day low at $7.31 to a day high of $7.31. |
90 days | $7.31 | $7.31 | |
52 weeks | $6.25 | $8.05 |
Date | Open | High | Low | Close | Volume |
Jun 21, 2018 | $7.41 | $7.53 | $7.37 | $7.51 | 2 424 258 |
Jun 20, 2018 | $7.55 | $7.63 | $7.51 | $7.62 | 1 811 143 |
Jun 19, 2018 | $7.48 | $7.55 | $7.48 | $7.54 | 986 940 |
Jun 18, 2018 | $7.35 | $7.55 | $7.35 | $7.47 | 1 431 210 |
Jun 15, 2018 | $7.37 | $7.42 | $7.33 | $7.35 | 3 992 830 |
Jun 14, 2018 | $7.32 | $7.40 | $7.29 | $7.39 | 1 240 093 |
Jun 13, 2018 | $7.34 | $7.35 | $7.27 | $7.29 | 1 169 931 |
Jun 12, 2018 | $7.34 | $7.35 | $7.30 | $7.34 | 1 631 235 |
Jun 11, 2018 | $7.25 | $7.39 | $7.25 | $7.33 | 1 546 950 |
Jun 08, 2018 | $7.26 | $7.30 | $7.26 | $7.28 | 672 477 |
Jun 07, 2018 | $7.24 | $7.29 | $7.24 | $7.26 | 833 656 |
Jun 06, 2018 | $7.28 | $7.30 | $7.19 | $7.22 | 1 272 099 |
Jun 05, 2018 | $7.39 | $7.40 | $7.28 | $7.29 | 1 761 471 |
Jun 04, 2018 | $7.30 | $7.38 | $7.30 | $7.37 | 1 163 198 |
Jun 01, 2018 | $7.32 | $7.35 | $7.28 | $7.31 | 737 661 |
May 31, 2018 | $7.44 | $7.46 | $7.28 | $7.32 | 1 411 540 |
May 30, 2018 | $7.38 | $7.45 | $7.37 | $7.43 | 991 865 |
May 29, 2018 | $7.27 | $7.38 | $7.27 | $7.36 | 1 097 580 |
May 25, 2018 | $7.29 | $7.31 | $7.27 | $7.28 | 322 143 |
May 24, 2018 | $7.32 | $7.32 | $7.26 | $7.28 | 670 488 |
May 23, 2018 | $7.30 | $7.33 | $7.24 | $7.32 | 668 819 |
May 22, 2018 | $7.33 | $7.34 | $7.29 | $7.29 | 451 976 |
May 21, 2018 | $7.15 | $7.33 | $7.15 | $7.32 | 1 141 281 |
May 18, 2018 | $7.17 | $7.18 | $7.12 | $7.15 | 663 760 |
May 17, 2018 | $7.17 | $7.20 | $7.12 | $7.14 | 506 015 |
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 CYS stock historical prices to predict future price movements?
Trend Analysis: Examine the CYS 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 CYS 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.