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 |
Jun 27, 2023 | $32.09 | $33.56 | $31.69 | $33.25 | 12 716 382 |
Jun 26, 2023 | $31.73 | $32.91 | $31.63 | $31.88 | 13 261 011 |
Jun 23, 2023 | $31.84 | $32.75 | $31.49 | $31.66 | 13 988 607 |
Jun 22, 2023 | $33.80 | $33.80 | $32.82 | $33.29 | 10 804 649 |
Jun 21, 2023 | $33.91 | $34.73 | $33.44 | $34.10 | 11 445 689 |
Jun 20, 2023 | $34.55 | $34.77 | $33.78 | $34.54 | 10 247 866 |
Jun 16, 2023 | $36.13 | $36.49 | $34.52 | $34.98 | 13 115 163 |
Jun 15, 2023 | $34.55 | $35.95 | $34.48 | $35.88 | 14 192 372 |
Jun 14, 2023 | $36.47 | $36.98 | $34.28 | $35.09 | 22 302 492 |
Jun 13, 2023 | $35.44 | $36.83 | $35.31 | $36.25 | 18 351 343 |
Jun 12, 2023 | $34.74 | $35.53 | $34.16 | $35.05 | 15 493 043 |
Jun 09, 2023 | $35.39 | $35.53 | $34.31 | $34.61 | 15 482 716 |
Jun 08, 2023 | $35.61 | $35.98 | $34.58 | $35.46 | 17 165 614 |
Jun 07, 2023 | $34.67 | $36.24 | $34.67 | $35.95 | 22 297 485 |
Jun 06, 2023 | $31.22 | $34.38 | $31.21 | $34.05 | 20 047 462 |
Jun 05, 2023 | $32.50 | $32.55 | $30.95 | $31.52 | 22 328 459 |
Jun 02, 2023 | $30.85 | $32.91 | $30.56 | $32.86 | 21 555 576 |
Jun 01, 2023 | $28.82 | $29.97 | $28.34 | $29.66 | 12 314 175 |
May 31, 2023 | $29.24 | $29.89 | $28.06 | $28.71 | 13 995 716 |
May 30, 2023 | $30.27 | $30.69 | $29.27 | $29.65 | 14 232 534 |
May 26, 2023 | $29.88 | $30.10 | $28.93 | $29.95 | 13 762 075 |
May 25, 2023 | $29.62 | $29.72 | $28.30 | $29.04 | 16 224 758 |
May 24, 2023 | $30.27 | $30.37 | $29.30 | $29.77 | 13 438 246 |
May 23, 2023 | $30.97 | $32.36 | $30.72 | $30.77 | 13 766 814 |
May 22, 2023 | $30.35 | $31.57 | $30.04 | $31.19 | 11 096 409 |
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.