NASDAQ:CYTK
Cytokinetics Stock Price (Quote)
$60.60
+1.07 (+1.80%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $55.91 | $68.76 | Monday, 20th May 2024 CYTK stock ended at $60.60. This is 1.80% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 3.49% from a day low at $59.33 to a day high of $61.40. |
90 days | $55.91 | $81.33 | |
52 weeks | $25.98 | $110.00 |
Date | Open | High | Low | Close | Volume |
May 04, 2016 | $8.37 | $8.40 | $8.07 | $8.16 | 348 181 |
May 03, 2016 | $8.40 | $8.52 | $8.28 | $8.40 | 234 410 |
May 02, 2016 | $8.12 | $8.48 | $8.04 | $8.48 | 223 523 |
Apr 29, 2016 | $8.23 | $8.33 | $7.99 | $8.14 | 258 260 |
Apr 28, 2016 | $7.93 | $8.52 | $7.82 | $8.26 | 327 189 |
Apr 27, 2016 | $8.17 | $8.17 | $7.72 | $7.88 | 356 447 |
Apr 26, 2016 | $8.44 | $8.44 | $8.02 | $8.10 | 259 739 |
Apr 25, 2016 | $8.49 | $8.64 | $8.38 | $8.44 | 133 408 |
Apr 22, 2016 | $8.34 | $8.58 | $8.28 | $8.53 | 293 151 |
Apr 21, 2016 | $8.35 | $8.47 | $8.21 | $8.36 | 253 854 |
Apr 20, 2016 | $8.17 | $8.45 | $8.00 | $8.39 | 308 348 |
Apr 19, 2016 | $8.23 | $8.26 | $8.10 | $8.17 | 213 670 |
Apr 18, 2016 | $7.96 | $8.30 | $7.86 | $8.21 | 237 102 |
Apr 15, 2016 | $7.91 | $8.07 | $7.84 | $8.00 | 175 169 |
Apr 14, 2016 | $7.97 | $8.13 | $7.86 | $7.97 | 131 278 |
Apr 13, 2016 | $7.84 | $8.01 | $7.71 | $7.96 | 175 802 |
Apr 12, 2016 | $7.89 | $7.89 | $7.64 | $7.79 | 196 476 |
Apr 11, 2016 | $7.70 | $7.80 | $7.62 | $7.76 | 230 333 |
Apr 08, 2016 | $7.93 | $7.93 | $7.64 | $7.71 | 206 120 |
Apr 07, 2016 | $7.70 | $7.91 | $7.50 | $7.80 | 239 852 |
Apr 06, 2016 | $7.14 | $7.87 | $7.13 | $7.71 | 289 015 |
Apr 05, 2016 | $7.52 | $7.59 | $7.16 | $7.18 | 258 300 |
Apr 04, 2016 | $7.29 | $7.76 | $7.29 | $7.53 | 331 130 |
Apr 01, 2016 | $6.99 | $7.24 | $6.92 | $7.19 | 169 078 |
Mar 31, 2016 | $6.79 | $7.23 | $6.71 | $7.05 | 586 612 |
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 CYTK stock historical prices to predict future price movements?
Trend Analysis: Examine the CYTK 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 CYTK 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.