$19.05
-0.95 (-4.75%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $18.81 | $26.26 | Tuesday, 23rd Jun 2026 CWEB stock ended at $19.05. This is 4.75% less than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 3.40% from a day low at $18.81 to a day high of $19.45. |
| 90 days | $18.81 | $30.95 | |
| 52 weeks | $18.81 | $61.28 |
Historical Direxion Daily CSI China Internet Bull 2X Shares prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $18.97 | $19.45 | $18.81 | $19.05 | 619 193 |
| Jun 22, 2026 | $19.86 | $20.37 | $19.60 | $20.00 | 657 902 |
| Jun 18, 2026 | $20.43 | $20.48 | $20.18 | $20.32 | 618 201 |
| Jun 17, 2026 | $21.27 | $21.58 | $20.45 | $20.55 | 478 576 |
| Jun 16, 2026 | $21.60 | $21.69 | $21.27 | $21.38 | 600 944 |
| Jun 15, 2026 | $22.78 | $22.98 | $22.61 | $22.66 | 311 534 |
| Jun 12, 2026 | $22.69 | $22.71 | $22.26 | $22.45 | 541 890 |
| Jun 11, 2026 | $21.77 | $22.59 | $21.44 | $22.59 | 837 935 |
| Jun 10, 2026 | $22.29 | $22.89 | $22.25 | $22.32 | 482 475 |
| Jun 09, 2026 | $22.50 | $22.55 | $21.43 | $21.96 | 679 352 |
| Jun 08, 2026 | $22.44 | $22.58 | $21.79 | $21.82 | 665 483 |
| Jun 05, 2026 | $23.33 | $23.33 | $22.06 | $22.27 | 833 757 |
| Jun 04, 2026 | $23.81 | $24.40 | $23.55 | $23.55 | 306 929 |
| Jun 03, 2026 | $24.52 | $24.52 | $23.68 | $23.75 | 644 404 |
| Jun 02, 2026 | $26.00 | $26.26 | $25.55 | $25.73 | 784 800 |
| Jun 01, 2026 | $23.39 | $24.26 | $23.36 | $24.07 | 528 196 |
| May 29, 2026 | $22.71 | $23.32 | $22.47 | $23.08 | 530 461 |
| May 28, 2026 | $22.30 | $22.93 | $22.11 | $22.88 | 799 662 |
| May 27, 2026 | $23.23 | $23.73 | $23.16 | $23.55 | 386 914 |
| May 26, 2026 | $23.61 | $24.09 | $23.59 | $23.94 | 546 035 |
| May 22, 2026 | $22.54 | $23.71 | $22.43 | $23.35 | 1 437 355 |
| May 21, 2026 | $24.23 | $24.64 | $23.69 | $24.62 | 1 023 825 |
| May 20, 2026 | $25.57 | $25.66 | $25.04 | $25.49 | 2 663 572 |
| May 19, 2026 | $25.63 | $26.24 | $25.59 | $25.86 | 433 924 |
| May 18, 2026 | $25.86 | $25.87 | $25.17 | $25.39 | 541 219 |
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.
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