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 |
Nov 14, 2017 | $7.96 | $8.07 | $7.94 | $8.03 | 625 923 |
Nov 13, 2017 | $7.86 | $7.96 | $7.82 | $7.96 | 1 541 624 |
Nov 10, 2017 | $7.94 | $8.04 | $7.87 | $7.89 | 1 112 962 |
Nov 09, 2017 | $7.96 | $8.03 | $7.91 | $7.98 | 1 243 614 |
Nov 08, 2017 | $7.91 | $8.05 | $7.91 | $7.99 | 1 052 361 |
Nov 07, 2017 | $7.80 | $7.98 | $7.76 | $7.91 | 1 324 568 |
Nov 06, 2017 | $7.97 | $7.97 | $7.80 | $7.88 | 1 560 208 |
Nov 03, 2017 | $7.94 | $8.01 | $7.89 | $7.97 | 1 162 259 |
Nov 02, 2017 | $8.07 | $8.07 | $7.94 | $7.98 | 1 418 995 |
Nov 01, 2017 | $8.00 | $8.13 | $8.00 | $8.07 | 1 557 728 |
Oct 31, 2017 | $8.15 | $8.17 | $8.00 | $8.00 | 1 869 363 |
Oct 30, 2017 | $8.20 | $8.27 | $8.11 | $8.14 | 2 002 904 |
Oct 27, 2017 | $8.10 | $8.25 | $7.97 | $8.21 | 1 803 366 |
Oct 26, 2017 | $8.29 | $8.34 | $8.04 | $8.08 | 2 651 086 |
Oct 25, 2017 | $8.50 | $8.50 | $8.18 | $8.31 | 1 554 351 |
Oct 24, 2017 | $8.55 | $8.60 | $8.45 | $8.46 | 866 274 |
Oct 23, 2017 | $8.68 | $8.68 | $8.45 | $8.52 | 1 602 341 |
Oct 20, 2017 | $8.74 | $8.75 | $8.61 | $8.65 | 942 968 |
Oct 19, 2017 | $8.73 | $8.73 | $8.66 | $8.70 | 713 738 |
Oct 18, 2017 | $8.68 | $8.75 | $8.68 | $8.72 | 1 131 003 |
Oct 17, 2017 | $8.72 | $8.73 | $8.68 | $8.70 | 480 273 |
Oct 16, 2017 | $8.68 | $8.73 | $8.68 | $8.71 | 705 868 |
Oct 13, 2017 | $8.63 | $8.69 | $8.60 | $8.66 | 843 697 |
Oct 12, 2017 | $8.61 | $8.62 | $8.54 | $8.60 | 928 725 |
Oct 11, 2017 | $8.55 | $8.60 | $8.54 | $8.60 | 1 000 784 |
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.