NYSEARCA:YANG
Direxion Daily FTSE China Bear 3X ETF Price (Quote)
$8.66
+0.230 (+2.73%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.08 | $8.72 | Friday, 14th Jun 2024 YANG stock ended at $8.66. This is 2.73% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 1.87% from a day low at $8.56 to a day high of $8.72. |
90 days | $6.08 | $12.35 | |
52 weeks | $6.08 | $19.15 |
Historical Direxion Daily FTSE China Bear 3X ETF prices
Date | Open | High | Low | Close | Volume |
May 26, 2017 | $10.54 | $10.54 | $10.42 | $10.43 | 133 235 |
May 25, 2017 | $10.52 | $10.53 | $10.40 | $10.46 | 387 594 |
May 24, 2017 | $11.01 | $11.01 | $10.91 | $10.98 | 145 337 |
May 23, 2017 | $10.91 | $11.02 | $10.91 | $10.98 | 144 131 |
May 22, 2017 | $11.00 | $11.01 | $10.88 | $10.95 | 234 483 |
May 19, 2017 | $11.33 | $11.33 | $11.07 | $11.13 | 278 684 |
May 18, 2017 | $11.69 | $11.78 | $11.35 | $11.46 | 564 661 |
May 17, 2017 | $11.37 | $11.65 | $11.28 | $11.57 | 535 135 |
May 16, 2017 | $11.16 | $11.25 | $11.07 | $11.09 | 213 851 |
May 15, 2017 | $11.27 | $11.29 | $10.95 | $11.02 | 478 195 |
May 12, 2017 | $11.71 | $11.71 | $11.46 | $11.47 | 373 237 |
May 11, 2017 | $11.85 | $12.05 | $11.84 | $11.85 | 382 157 |
May 10, 2017 | $11.85 | $11.95 | $11.75 | $11.81 | 358 450 |
May 09, 2017 | $12.22 | $12.22 | $12.02 | $12.17 | 495 282 |
May 08, 2017 | $12.71 | $12.89 | $12.51 | $12.84 | 272 500 |
May 05, 2017 | $13.01 | $13.01 | $12.74 | $12.74 | 216 073 |
May 04, 2017 | $12.50 | $12.87 | $12.50 | $12.74 | 631 157 |
May 03, 2017 | $12.21 | $12.30 | $12.10 | $12.22 | 119 437 |
May 02, 2017 | $12.06 | $12.17 | $12.00 | $12.08 | 154 586 |
May 01, 2017 | $11.83 | $11.98 | $11.78 | $11.93 | 132 327 |
Apr 28, 2017 | $12.05 | $12.09 | $11.99 | $12.00 | 226 349 |
Apr 27, 2017 | $11.99 | $12.11 | $11.97 | $11.98 | 300 533 |
Apr 26, 2017 | $11.84 | $11.88 | $11.72 | $11.86 | 352 778 |
Apr 25, 2017 | $11.86 | $11.90 | $11.77 | $11.88 | 336 909 |
Apr 24, 2017 | $12.30 | $12.36 | $12.21 | $12.36 | 337 081 |
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 YANG stock historical prices to predict future price movements?
Trend Analysis: Examine the YANG 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 YANG 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.