NYSEARCA:DRIP
Direxion Dly S&P Oil&Gs Ex&Prd Br 3X ETF Price (Quote)
$8.95
-0.230 (-2.51%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.32 | $9.60 | Friday, 17th May 2024 DRIP stock ended at $8.95. This is 2.51% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.04% from a day low at $8.87 to a day high of $9.14. |
90 days | $7.87 | $11.51 | |
52 weeks | $7.87 | $16.81 |
Date | Open | High | Low | Close | Volume |
Jul 13, 2016 | $2.45 | $2.66 | $2.36 | $12.75 | 1 323 360 |
Jul 12, 2016 | $2.57 | $2.61 | $2.33 | $12.02 | 1 703 760 |
Jul 11, 2016 | $2.69 | $2.83 | $2.67 | $14.06 | 294 240 |
Jul 08, 2016 | $2.81 | $2.96 | $2.74 | $13.92 | 467 760 |
Jul 07, 2016 | $2.66 | $3.01 | $2.60 | $14.73 | 901 680 |
Jul 06, 2016 | $2.92 | $3.00 | $2.80 | $13.98 | 646 800 |
Jul 05, 2016 | $2.76 | $2.98 | $2.72 | $14.25 | 1 135 200 |
Jul 01, 2016 | $2.76 | $2.76 | $2.50 | $12.79 | 922 560 |
Jun 30, 2016 | $2.73 | $2.83 | $2.67 | $13.60 | 792 240 |
Jun 29, 2016 | $2.74 | $2.77 | $2.58 | $13.25 | 559 920 |
Jun 28, 2016 | $3.07 | $3.07 | $2.79 | $14.17 | 524 640 |
Jun 27, 2016 | $2.95 | $3.40 | $2.94 | $16.50 | 902 880 |
Jun 24, 2016 | $2.87 | $2.88 | $2.68 | $14.25 | 1 062 000 |
Jun 23, 2016 | $2.50 | $2.55 | $2.46 | $12.31 | 479 040 |
Jun 22, 2016 | $2.50 | $2.65 | $2.49 | $13.00 | 655 920 |
Jun 21, 2016 | $2.73 | $2.76 | $2.51 | $12.71 | 890 640 |
Jun 20, 2016 | $2.61 | $2.74 | $2.58 | $13.33 | 607 200 |
Jun 17, 2016 | $2.78 | $2.95 | $2.74 | $14.13 | 857 520 |
Jun 16, 2016 | $3.05 | $3.25 | $3.00 | $15.42 | 1 125 120 |
Jun 15, 2016 | $2.95 | $3.00 | $2.71 | $14.33 | 1 088 160 |
Jun 14, 2016 | $2.94 | $3.06 | $2.76 | $14.33 | 784 800 |
Jun 13, 2016 | $2.93 | $2.97 | $2.73 | $14.42 | 771 840 |
Jun 10, 2016 | $2.63 | $2.84 | $2.56 | $14.15 | 1 050 000 |
Jun 09, 2016 | $2.56 | $2.58 | $2.44 | $12.38 | 816 000 |
Jun 08, 2016 | $2.28 | $2.44 | $2.23 | $12.15 | 1 266 960 |
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 DRIP stock historical prices to predict future price movements?
Trend Analysis: Examine the DRIP 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 DRIP 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.