NASDAQ:DCFC
Tritium DCFC Limited Stock Price (Quote)
$3.64
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.64 | $3.64 | Friday, 24th May 2024 DCFC stock ended at $3.64. During the day the stock fluctuated 0% from a day low at $3.64 to a day high of $3.64. |
90 days | $0.0495 | $9.40 | |
52 weeks | $0.0495 | $9.40 |
Date | Open | High | Low | Close | Volume |
Aug 09, 2023 | $1.22 | $1.24 | $1.18 | $1.18 | 749 434 |
Aug 08, 2023 | $1.21 | $1.26 | $1.17 | $1.24 | 962 935 |
Aug 07, 2023 | $1.23 | $1.25 | $1.13 | $1.20 | 1 544 548 |
Aug 04, 2023 | $1.28 | $1.31 | $1.19 | $1.26 | 1 823 852 |
Aug 03, 2023 | $1.46 | $1.47 | $1.19 | $1.20 | 3 783 058 |
Aug 02, 2023 | $1.40 | $1.52 | $1.34 | $1.47 | 1 975 122 |
Aug 01, 2023 | $1.26 | $1.44 | $1.22 | $1.40 | 2 302 863 |
Jul 31, 2023 | $1.16 | $1.32 | $1.14 | $1.31 | 3 213 604 |
Jul 28, 2023 | $1.10 | $1.17 | $1.09 | $1.16 | 1 179 451 |
Jul 27, 2023 | $1.11 | $1.14 | $1.08 | $1.08 | 959 520 |
Jul 26, 2023 | $1.10 | $1.11 | $1.08 | $1.11 | 443 693 |
Jul 25, 2023 | $1.10 | $1.13 | $1.08 | $1.08 | 525 505 |
Jul 24, 2023 | $1.08 | $1.11 | $1.08 | $1.10 | 534 891 |
Jul 21, 2023 | $1.11 | $1.11 | $1.08 | $1.09 | 350 396 |
Jul 20, 2023 | $1.11 | $1.14 | $1.09 | $1.10 | 390 807 |
Jul 19, 2023 | $1.10 | $1.14 | $1.09 | $1.13 | 744 501 |
Jul 18, 2023 | $1.11 | $1.11 | $1.08 | $1.09 | 435 421 |
Jul 17, 2023 | $1.12 | $1.13 | $1.07 | $1.10 | 708 742 |
Jul 14, 2023 | $1.11 | $1.13 | $1.08 | $1.11 | 625 888 |
Jul 13, 2023 | $1.12 | $1.13 | $1.09 | $1.13 | 1 096 292 |
Jul 12, 2023 | $1.15 | $1.15 | $1.08 | $1.12 | 1 149 621 |
Jul 11, 2023 | $1.09 | $1.14 | $1.08 | $1.12 | 1 914 374 |
Jul 10, 2023 | $1.06 | $1.08 | $1.03 | $1.06 | 592 467 |
Jul 07, 2023 | $1.06 | $1.09 | $1.05 | $1.06 | 540 880 |
Jul 06, 2023 | $1.06 | $1.08 | $1.05 | $1.08 | 379 867 |
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 DCFC stock historical prices to predict future price movements?
Trend Analysis: Examine the DCFC 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 DCFC 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.