NYSE:BTX
Delisted
BioTime, Inc Stock Price (Quote)
$0.93
+0.0118 (+1.28%)
At Close: Sep 24, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.82 | $1.14 | Thursday, 24th Sep 2020 BTX stock ended at $0.93. This is 1.28% more than the trading day before Wednesday, 23rd Sep 2020. During the day the stock fluctuated 8.05% from a day low at $0.87 to a day high of $0.94. |
90 days | $0.730 | $1.14 | |
52 weeks | $0.534 | $1.67 |
Date | Open | High | Low | Close | Volume |
Aug 29, 2016 | $2.98 | $2.98 | $2.89 | $2.90 | 56 477 |
Aug 26, 2016 | $2.96 | $3.05 | $2.95 | $3.00 | 92 908 |
Aug 25, 2016 | $3.06 | $3.06 | $2.93 | $2.98 | 98 010 |
Aug 24, 2016 | $3.08 | $3.13 | $3.04 | $3.04 | 174 089 |
Aug 23, 2016 | $3.20 | $3.22 | $3.12 | $3.14 | 126 640 |
Aug 22, 2016 | $3.11 | $3.25 | $3.11 | $3.20 | 159 785 |
Aug 19, 2016 | $3.20 | $3.20 | $3.05 | $3.15 | 151 044 |
Aug 18, 2016 | $3.12 | $3.20 | $3.12 | $3.20 | 97 183 |
Aug 17, 2016 | $3.13 | $3.19 | $3.07 | $3.14 | 93 136 |
Aug 16, 2016 | $3.13 | $3.19 | $3.08 | $3.17 | 119 171 |
Aug 15, 2016 | $3.10 | $3.18 | $3.09 | $3.18 | 184 177 |
Aug 12, 2016 | $3.15 | $3.17 | $3.08 | $3.12 | 100 243 |
Aug 11, 2016 | $3.17 | $3.17 | $3.03 | $3.17 | 207 509 |
Aug 10, 2016 | $3.25 | $3.31 | $3.11 | $3.14 | 193 295 |
Aug 09, 2016 | $3.25 | $3.30 | $3.15 | $3.28 | 293 813 |
Aug 08, 2016 | $3.35 | $3.35 | $3.26 | $3.32 | 152 644 |
Aug 05, 2016 | $3.15 | $3.36 | $3.15 | $3.29 | 425 266 |
Aug 04, 2016 | $3.19 | $3.20 | $3.10 | $3.18 | 146 591 |
Aug 03, 2016 | $3.14 | $3.19 | $3.10 | $3.15 | 111 080 |
Aug 02, 2016 | $3.20 | $3.20 | $3.06 | $3.11 | 157 759 |
Aug 01, 2016 | $3.09 | $3.21 | $3.09 | $3.19 | 166 068 |
Jul 29, 2016 | $3.12 | $3.18 | $3.03 | $3.12 | 876 222 |
Jul 28, 2016 | $3.16 | $3.18 | $3.00 | $3.15 | 257 445 |
Jul 27, 2016 | $2.98 | $3.14 | $2.98 | $3.10 | 418 394 |
Jul 26, 2016 | $3.02 | $3.03 | $2.94 | $3.00 | 116 413 |
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 BTX stock historical prices to predict future price movements?
Trend Analysis: Examine the BTX 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 BTX 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.