NASDAQ:BTBT
Bit Digital Inc Stock Price (Quote)
$2.21
+0.0600 (+2.79%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.76 | $2.33 | Monday, 13th May 2024 BTBT stock ended at $2.21. This is 2.79% more than the trading day before Friday, 10th May 2024. During the day the stock fluctuated 5.09% from a day low at $2.16 to a day high of $2.27. |
90 days | $1.76 | $3.50 | |
52 weeks | $1.76 | $5.27 |
Date | Open | High | Low | Close | Volume |
Jul 01, 2019 | $3.42 | $3.80 | $3.04 | $3.26 | 286 671 |
Jun 28, 2019 | $3.47 | $3.49 | $3.20 | $3.46 | 302 759 |
Jun 27, 2019 | $3.30 | $3.40 | $3.05 | $3.25 | 230 249 |
Jun 26, 2019 | $3.30 | $3.57 | $3.04 | $3.29 | 233 664 |
Jun 25, 2019 | $3.68 | $3.74 | $3.22 | $3.22 | 285 989 |
Jun 24, 2019 | $3.80 | $3.90 | $3.53 | $3.69 | 319 571 |
Jun 21, 2019 | $4.10 | $4.45 | $3.66 | $3.84 | 365 239 |
Jun 20, 2019 | $3.74 | $4.15 | $3.65 | $4.08 | 302 274 |
Jun 19, 2019 | $3.70 | $3.90 | $3.61 | $3.70 | 312 838 |
Jun 18, 2019 | $3.79 | $3.92 | $3.52 | $3.87 | 321 994 |
Jun 17, 2019 | $3.87 | $3.90 | $3.68 | $3.75 | 312 138 |
Jun 14, 2019 | $3.86 | $4.05 | $3.68 | $3.89 | 316 788 |
Jun 13, 2019 | $3.92 | $4.01 | $3.65 | $3.98 | 289 036 |
Jun 12, 2019 | $3.98 | $4.08 | $3.59 | $3.93 | 254 282 |
Jun 11, 2019 | $4.00 | $4.19 | $3.57 | $3.90 | 241 784 |
Jun 10, 2019 | $3.77 | $4.01 | $3.50 | $4.01 | 233 442 |
Jun 07, 2019 | $3.40 | $3.81 | $3.40 | $3.70 | 215 342 |
Jun 06, 2019 | $3.39 | $3.46 | $3.20 | $3.41 | 175 727 |
Jun 05, 2019 | $3.32 | $3.40 | $3.11 | $3.40 | 102 636 |
Jun 04, 2019 | $3.30 | $3.38 | $3.10 | $3.30 | 105 072 |
Jun 03, 2019 | $3.53 | $3.60 | $3.10 | $3.30 | 96 349 |
May 31, 2019 | $3.32 | $3.57 | $3.30 | $3.53 | 106 297 |
May 30, 2019 | $3.60 | $3.73 | $3.30 | $3.57 | 79 622 |
May 29, 2019 | $3.75 | $3.80 | $3.28 | $3.60 | 88 964 |
May 28, 2019 | $3.70 | $3.70 | $3.36 | $3.70 | 65 545 |
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 BTBT stock historical prices to predict future price movements?
Trend Analysis: Examine the BTBT 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 BTBT 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.