NYSEARCA:CWEB
Direxion Daily CSI China Internet Bull ETF Price (Quote)
$35.87
-1.58 (-4.22%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $33.15 | $45.00 | Friday, 31st May 2024 CWEB stock ended at $35.87. This is 4.22% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.83% from a day low at $35.12 to a day high of $36.12. |
90 days | $26.39 | $45.00 | |
52 weeks | $23.20 | $49.71 |
Historical Direxion Daily CSI China Internet Bull 2X Shares prices
Date | Open | High | Low | Close | Volume |
May 31, 2024 | $35.43 | $36.12 | $35.12 | $35.87 | 420 563 |
May 30, 2024 | $36.17 | $37.57 | $36.17 | $37.45 | 403 325 |
May 29, 2024 | $35.81 | $36.68 | $35.72 | $36.48 | 284 543 |
May 28, 2024 | $38.13 | $38.59 | $37.23 | $37.50 | 259 077 |
May 24, 2024 | $37.44 | $38.06 | $37.18 | $37.54 | 489 817 |
May 23, 2024 | $39.10 | $39.64 | $37.49 | $37.76 | 909 269 |
May 22, 2024 | $40.77 | $41.47 | $39.80 | $39.88 | 638 662 |
May 21, 2024 | $40.91 | $41.76 | $40.45 | $40.96 | 420 146 |
May 20, 2024 | $43.04 | $43.98 | $42.58 | $43.06 | 272 465 |
May 17, 2024 | $43.63 | $45.00 | $42.86 | $43.99 | 472 491 |
May 16, 2024 | $41.86 | $43.91 | $41.13 | $43.73 | 430 930 |
May 15, 2024 | $41.71 | $41.71 | $40.50 | $41.49 | 274 486 |
May 14, 2024 | $40.43 | $40.85 | $40.11 | $40.55 | 357 324 |
May 13, 2024 | $39.94 | $41.67 | $39.94 | $41.37 | 731 173 |
May 10, 2024 | $39.11 | $39.29 | $38.03 | $38.42 | 270 268 |
May 09, 2024 | $38.74 | $39.11 | $37.87 | $38.56 | 310 248 |
May 08, 2024 | $36.17 | $37.22 | $36.10 | $37.13 | 303 538 |
May 07, 2024 | $37.74 | $37.82 | $37.09 | $37.62 | 603 758 |
May 06, 2024 | $40.00 | $40.20 | $38.98 | $39.42 | 344 808 |
May 03, 2024 | $39.13 | $40.00 | $38.57 | $39.94 | 792 860 |
May 02, 2024 | $36.47 | $39.48 | $36.47 | $38.73 | 1 216 872 |
May 01, 2024 | $33.30 | $34.35 | $33.15 | $33.54 | 384 602 |
Apr 30, 2024 | $34.25 | $34.46 | $33.13 | $33.22 | 738 090 |
Apr 29, 2024 | $35.17 | $35.58 | $34.58 | $35.11 | 547 892 |
Apr 26, 2024 | $35.21 | $36.07 | $34.97 | $35.50 | 775 035 |
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 CWEB stock historical prices to predict future price movements?
Trend Analysis: Examine the CWEB 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 CWEB 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.