NASDAQ:TKAI
Delisted
Tokai Pharmaceuticals Fund Price (Quote)
$0.610
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.610 | $0.610 | Tuesday, 16th Jan 2018 TKAI stock ended at $0.610. During the day the stock fluctuated 0% from a day low at $0.610 to a day high of $0.610. |
90 days | $0.610 | $0.610 | |
52 weeks | $0.520 | $5.49 |
Date | Open | High | Low | Close | Volume |
Dec 02, 2016 | $1.03 | $1.08 | $0.95 | $1.04 | 607 407 |
Dec 01, 2016 | $1.03 | $1.04 | $1.00 | $1.02 | 272 993 |
Nov 30, 2016 | $1.08 | $1.08 | $1.01 | $1.03 | 517 005 |
Nov 29, 2016 | $1.05 | $1.19 | $1.03 | $1.08 | 1 310 959 |
Nov 28, 2016 | $1.03 | $1.08 | $1.01 | $1.03 | 182 886 |
Nov 25, 2016 | $1.06 | $1.08 | $1.03 | $1.04 | 33 971 |
Nov 23, 2016 | $1.03 | $1.08 | $1.01 | $1.06 | 153 146 |
Nov 22, 2016 | $1.09 | $1.13 | $1.05 | $1.05 | 508 309 |
Nov 21, 2016 | $1.08 | $1.14 | $1.00 | $1.08 | 706 583 |
Nov 18, 2016 | $1.14 | $1.17 | $1.03 | $1.07 | 349 486 |
Nov 17, 2016 | $1.16 | $1.22 | $1.08 | $1.13 | 614 521 |
Nov 16, 2016 | $1.00 | $1.23 | $0.97 | $1.18 | 2 176 416 |
Nov 15, 2016 | $1.03 | $1.04 | $0.95 | $1.01 | 302 509 |
Nov 14, 2016 | $1.07 | $1.09 | $1.00 | $1.04 | 177 852 |
Nov 11, 2016 | $1.05 | $1.10 | $1.03 | $1.07 | 320 854 |
Nov 10, 2016 | $1.08 | $1.10 | $1.01 | $1.07 | 690 266 |
Nov 09, 2016 | $0.94 | $1.08 | $0.93 | $1.05 | 1 015 721 |
Nov 08, 2016 | $0.91 | $0.97 | $0.88 | $0.94 | 188 693 |
Nov 07, 2016 | $0.95 | $1.05 | $0.90 | $0.92 | 560 800 |
Nov 04, 2016 | $0.80 | $0.96 | $0.726 | $0.93 | 1 345 800 |
Nov 03, 2016 | $0.99 | $1.04 | $0.85 | $0.86 | 922 800 |
Nov 02, 2016 | $1.07 | $1.08 | $1.00 | $1.00 | 385 900 |
Nov 01, 2016 | $1.10 | $1.18 | $1.04 | $1.07 | 609 000 |
Oct 31, 2016 | $1.09 | $1.14 | $1.03 | $1.10 | 505 800 |
Oct 28, 2016 | $1.15 | $1.20 | $1.10 | $1.11 | 452 700 |
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 TKAI stock historical prices to predict future price movements?
Trend Analysis: Examine the TKAI 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 TKAI 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.