NASDAQ:KOOL
Delisted
Cesca Therapeutics Inc. Stock Price (Quote)
$0.620
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.620 | $0.620 | Friday, 27th May 2022 KOOL stock ended at $0.620. During the day the stock fluctuated 0% from a day low at $0.620 to a day high of $0.620. |
90 days | $0.600 | $0.710 | |
52 weeks | $0.592 | $3.16 |
Date | Open | High | Low | Close | Volume |
Jun 04, 2020 | $6.19 | $6.33 | $5.81 | $5.94 | 298 446 |
Jun 03, 2020 | $6.65 | $6.66 | $6.20 | $6.34 | 225 747 |
Jun 02, 2020 | $6.04 | $6.75 | $5.99 | $6.64 | 237 985 |
Jun 01, 2020 | $6.08 | $6.24 | $5.55 | $6.10 | 205 507 |
May 29, 2020 | $6.27 | $6.33 | $5.95 | $6.16 | 205 368 |
May 28, 2020 | $5.94 | $6.69 | $5.90 | $6.35 | 509 071 |
May 27, 2020 | $6.18 | $6.40 | $5.72 | $5.94 | 509 603 |
May 26, 2020 | $6.71 | $6.82 | $5.99 | $6.38 | 558 120 |
May 22, 2020 | $6.76 | $6.84 | $6.41 | $6.51 | 357 337 |
May 21, 2020 | $7.25 | $7.32 | $6.14 | $6.80 | 791 466 |
May 20, 2020 | $7.51 | $7.58 | $7.18 | $7.36 | 224 104 |
May 19, 2020 | $7.42 | $7.77 | $7.18 | $7.58 | 311 561 |
May 18, 2020 | $8.69 | $8.87 | $7.25 | $7.51 | 871 159 |
May 15, 2020 | $10.33 | $10.56 | $8.01 | $8.34 | 995 613 |
May 14, 2020 | $10.84 | $11.55 | $10.31 | $11.06 | 549 060 |
May 13, 2020 | $11.01 | $11.36 | $9.95 | $10.45 | 489 073 |
May 12, 2020 | $11.26 | $11.70 | $10.73 | $10.94 | 509 985 |
May 11, 2020 | $10.23 | $11.25 | $10.23 | $10.97 | 411 890 |
May 08, 2020 | $10.34 | $10.78 | $10.22 | $10.41 | 343 872 |
May 07, 2020 | $11.15 | $11.23 | $10.12 | $10.15 | 671 001 |
May 06, 2020 | $11.65 | $11.96 | $11.06 | $11.31 | 360 573 |
May 05, 2020 | $12.16 | $12.64 | $11.38 | $11.56 | 909 058 |
May 04, 2020 | $10.63 | $12.35 | $10.61 | $12.21 | 870 043 |
May 01, 2020 | $11.00 | $11.24 | $9.60 | $11.00 | 1 161 706 |
Apr 30, 2020 | $7.12 | $14.18 | $6.76 | $11.49 | 13 327 539 |
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 KOOL stock historical prices to predict future price movements?
Trend Analysis: Examine the KOOL 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 KOOL 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.