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 |
Historical CYS Investments Inc prices
Date | Open | High | Low | Close | Volume |
Jun 23, 2017 | $8.71 | $8.78 | $8.68 | $8.76 | 1 481 249 |
Jun 22, 2017 | $8.68 | $8.74 | $8.64 | $8.69 | 973 131 |
Jun 21, 2017 | $8.66 | $8.73 | $8.61 | $8.64 | 1 177 585 |
Jun 20, 2017 | $8.64 | $8.67 | $8.58 | $8.66 | 1 641 515 |
Jun 19, 2017 | $8.94 | $8.98 | $8.87 | $8.92 | 2 002 749 |
Jun 16, 2017 | $8.82 | $8.93 | $8.79 | $8.91 | 3 740 507 |
Jun 15, 2017 | $8.73 | $8.83 | $8.71 | $8.82 | 1 348 158 |
Jun 14, 2017 | $8.64 | $8.77 | $8.62 | $8.73 | 1 519 954 |
Jun 13, 2017 | $8.64 | $8.69 | $8.55 | $8.66 | 1 291 324 |
Jun 12, 2017 | $8.57 | $8.69 | $8.56 | $8.66 | 2 115 165 |
Jun 09, 2017 | $8.57 | $8.64 | $8.47 | $8.61 | 1 389 335 |
Jun 08, 2017 | $8.52 | $8.59 | $8.46 | $8.56 | 1 243 332 |
Jun 07, 2017 | $8.51 | $8.56 | $8.48 | $8.53 | 1 066 571 |
Jun 06, 2017 | $8.53 | $8.58 | $8.44 | $8.52 | 870 558 |
Jun 05, 2017 | $8.51 | $8.55 | $8.43 | $8.50 | 799 739 |
Jun 02, 2017 | $8.55 | $8.64 | $8.52 | $8.52 | 885 002 |
Jun 01, 2017 | $8.43 | $8.61 | $8.43 | $8.51 | 1 178 056 |
May 31, 2017 | $8.37 | $8.48 | $8.35 | $8.43 | 1 454 742 |
May 30, 2017 | $8.40 | $8.41 | $8.35 | $8.37 | 507 306 |
May 26, 2017 | $8.39 | $8.43 | $8.30 | $8.40 | 595 692 |
May 25, 2017 | $8.41 | $8.47 | $8.36 | $8.38 | 688 953 |
May 24, 2017 | $8.38 | $8.43 | $8.30 | $8.41 | 842 662 |
May 23, 2017 | $8.35 | $8.39 | $8.28 | $8.34 | 806 602 |
May 22, 2017 | $8.22 | $8.35 | $8.20 | $8.31 | 1 008 948 |
May 19, 2017 | $8.14 | $8.23 | $8.14 | $8.21 | 842 484 |
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.