NYSEARCA:TNA
Direxion Dialy Small Cap Bull 3x Shares ETF Price (Quote)
$40.30
+0.0300 (+0.0745%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $31.85 | $41.34 | Friday, 17th May 2024 TNA stock ended at $40.30. This is 0.0745% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.68% from a day low at $39.87 to a day high of $40.54. |
90 days | $31.85 | $43.84 | |
52 weeks | $21.58 | $43.84 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | $28.27 | $28.50 | $26.84 | $27.27 | 24 841 712 |
Nov 15, 2023 | $28.43 | $30.02 | $28.27 | $28.60 | 33 239 514 |
Nov 14, 2023 | $26.62 | $28.45 | $26.61 | $28.44 | 32 391 354 |
Nov 13, 2023 | $24.02 | $24.69 | $23.71 | $24.43 | 15 501 155 |
Nov 10, 2023 | $24.02 | $24.66 | $23.43 | $24.42 | 19 662 847 |
Nov 09, 2023 | $25.30 | $25.31 | $23.53 | $23.67 | 22 747 798 |
Nov 08, 2023 | $25.62 | $25.82 | $24.56 | $24.82 | 18 202 655 |
Nov 07, 2023 | $25.57 | $26.01 | $25.13 | $25.71 | 14 514 700 |
Nov 06, 2023 | $26.94 | $27.08 | $25.50 | $25.96 | 15 111 819 |
Nov 03, 2023 | $26.20 | $27.44 | $26.19 | $26.92 | 22 097 593 |
Nov 02, 2023 | $24.03 | $24.98 | $23.86 | $24.92 | 22 219 527 |
Nov 01, 2023 | $22.69 | $23.16 | $22.11 | $23.08 | 22 354 126 |
Oct 31, 2023 | $22.26 | $22.91 | $22.03 | $22.77 | 15 711 867 |
Oct 30, 2023 | $22.41 | $22.83 | $21.68 | $22.17 | 18 281 448 |
Oct 27, 2023 | $22.75 | $22.88 | $21.58 | $21.82 | 23 605 565 |
Oct 26, 2023 | $22.63 | $23.28 | $22.23 | $22.65 | 24 585 445 |
Oct 25, 2023 | $23.00 | $23.28 | $22.32 | $22.48 | 18 719 458 |
Oct 24, 2023 | $23.63 | $24.12 | $23.19 | $23.60 | 15 827 239 |
Oct 23, 2023 | $23.31 | $24.06 | $22.88 | $23.08 | 17 226 414 |
Oct 20, 2023 | $24.60 | $24.73 | $23.64 | $23.69 | 18 020 282 |
Oct 19, 2023 | $25.65 | $26.22 | $24.52 | $24.66 | 22 248 251 |
Oct 18, 2023 | $26.96 | $26.98 | $25.74 | $25.89 | 16 063 005 |
Oct 17, 2023 | $26.19 | $28.27 | $26.18 | $27.63 | 15 288 130 |
Oct 16, 2023 | $26.11 | $26.87 | $25.81 | $26.67 | 10 748 075 |
Oct 13, 2023 | $26.42 | $26.59 | $25.22 | $25.49 | 15 366 249 |
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 TNA stock historical prices to predict future price movements?
Trend Analysis: Examine the TNA 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 TNA 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.