NYSEARCA:DUST
Direxion Daily Gold Miners Bear 3X ETF Price (Quote)
$6.59
-0.130 (-1.93%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.52 | $8.92 | Monday, 20th May 2024 DUST stock ended at $6.59. This is 1.93% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 5.22% from a day low at $6.52 to a day high of $6.86. |
90 days | $6.52 | $14.60 | |
52 weeks | $6.52 | $16.17 |
Date | Open | High | Low | Close | Volume |
Dec 05, 2016 | $52.86 | $55.34 | $48.64 | $50.39 | 9 476 100 |
Dec 02, 2016 | $53.96 | $53.96 | $49.26 | $50.08 | 7 418 300 |
Dec 01, 2016 | $56.50 | $58.93 | $52.09 | $55.94 | 6 782 900 |
Nov 30, 2016 | $53.40 | $56.79 | $52.94 | $54.54 | 6 985 300 |
Nov 29, 2016 | $54.00 | $54.91 | $50.60 | $51.57 | 6 940 000 |
Nov 28, 2016 | $54.50 | $56.50 | $50.17 | $50.49 | 7 137 800 |
Nov 25, 2016 | $56.23 | $58.46 | $54.83 | $56.85 | 3 935 400 |
Nov 23, 2016 | $56.41 | $60.41 | $56.34 | $57.75 | 8 538 400 |
Nov 22, 2016 | $50.53 | $54.72 | $50.01 | $50.40 | 7 869 000 |
Nov 21, 2016 | $51.40 | $52.58 | $48.97 | $51.00 | 7 365 400 |
Nov 18, 2016 | $54.52 | $56.42 | $52.66 | $53.96 | 7 937 200 |
Nov 17, 2016 | $49.19 | $55.14 | $46.20 | $52.39 | 12 769 500 |
Nov 16, 2016 | $48.55 | $51.85 | $47.88 | $48.90 | 7 058 800 |
Nov 15, 2016 | $54.06 | $55.76 | $46.72 | $47.77 | 7 592 200 |
Nov 14, 2016 | $59.74 | $62.71 | $49.87 | $54.48 | 13 569 400 |
Nov 11, 2016 | $45.73 | $56.85 | $45.58 | $56.27 | 13 945 800 |
Nov 10, 2016 | $38.29 | $46.06 | $38.22 | $44.86 | 9 530 200 |
Nov 09, 2016 | $31.84 | $39.99 | $31.50 | $37.06 | 13 205 600 |
Nov 08, 2016 | $39.17 | $41.78 | $36.68 | $40.13 | 9 633 400 |
Nov 07, 2016 | $38.96 | $41.00 | $38.46 | $39.50 | 8 547 400 |
Nov 04, 2016 | $34.64 | $37.14 | $34.42 | $35.61 | 7 724 500 |
Nov 03, 2016 | $36.85 | $37.06 | $33.76 | $34.51 | 8 096 200 |
Nov 02, 2016 | $33.04 | $37.79 | $32.00 | $36.83 | 13 077 100 |
Nov 01, 2016 | $35.66 | $36.41 | $33.30 | $35.30 | 11 232 800 |
Oct 31, 2016 | $41.22 | $42.36 | $38.10 | $38.20 | 7 500 900 |
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 DUST stock historical prices to predict future price movements?
Trend Analysis: Examine the DUST 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 DUST 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.