NYSE:BITQ
Exchange Traded Concepts Trust - Bitwise ETF Price (Quote)
$12.38
+0.620 (+5.27%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.02 | $12.70 | Friday, 24th May 2024 BITQ stock ended at $12.38. This is 5.27% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 5.44% from a day low at $11.76 to a day high of $12.40. |
90 days | $9.90 | $13.75 | |
52 weeks | $6.17 | $13.75 |
Date | Open | High | Low | Close | Volume |
Feb 07, 2024 | $8.56 | $8.76 | $8.32 | $8.75 | 87 617 |
Feb 06, 2024 | $8.32 | $8.62 | $8.30 | $8.58 | 116 179 |
Feb 05, 2024 | $8.78 | $8.78 | $8.33 | $8.34 | 175 439 |
Feb 02, 2024 | $8.86 | $9.09 | $8.74 | $8.85 | 157 147 |
Feb 01, 2024 | $8.97 | $9.08 | $8.70 | $9.05 | 239 022 |
Jan 31, 2024 | $9.10 | $9.42 | $8.84 | $8.92 | 231 343 |
Jan 30, 2024 | $9.47 | $9.50 | $9.11 | $9.26 | 192 769 |
Jan 29, 2024 | $9.10 | $9.58 | $8.92 | $9.40 | 185 155 |
Jan 26, 2024 | $8.67 | $9.02 | $8.58 | $8.97 | 205 227 |
Jan 25, 2024 | $8.16 | $8.40 | $8.12 | $8.37 | 134 029 |
Jan 24, 2024 | $8.54 | $8.63 | $8.11 | $8.16 | 166 949 |
Jan 23, 2024 | $8.30 | $8.41 | $8.18 | $8.27 | 122 276 |
Jan 22, 2024 | $8.31 | $8.73 | $8.28 | $8.49 | 168 409 |
Jan 19, 2024 | $8.45 | $8.54 | $8.08 | $8.49 | 265 312 |
Jan 18, 2024 | $8.93 | $9.21 | $8.43 | $8.47 | 331 064 |
Jan 17, 2024 | $8.98 | $8.99 | $8.76 | $8.90 | 168 367 |
Jan 16, 2024 | $9.22 | $9.40 | $8.85 | $9.11 | 253 546 |
Jan 12, 2024 | $10.16 | $10.16 | $9.48 | $9.48 | 505 344 |
Jan 11, 2024 | $11.94 | $12.15 | $10.10 | $10.38 | 628 918 |
Jan 10, 2024 | $11.00 | $11.50 | $10.63 | $11.14 | 255 959 |
Jan 09, 2024 | $11.45 | $11.49 | $11.06 | $11.12 | 190 772 |
Jan 08, 2024 | $11.00 | $11.48 | $10.40 | $11.34 | 292 268 |
Jan 05, 2024 | $11.28 | $11.28 | $10.71 | $10.88 | 156 348 |
Jan 04, 2024 | $11.18 | $11.55 | $10.85 | $11.33 | 288 549 |
Jan 03, 2024 | $10.63 | $11.22 | $10.31 | $10.97 | 298 607 |
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 BITQ stock historical prices to predict future price movements?
Trend Analysis: Examine the BITQ 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 BITQ 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.