NASDAQ:DCFC
Tritium DCFC Limited Stock Price (Quote)
$3.64
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.64 | $3.64 | Friday, 31st 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 |
Historical Tritium DCFC Limited prices
Date | Open | High | Low | Close | Volume |
Jun 03, 2022 | $8.48 | $8.78 | $8.13 | $8.24 | 193 623 |
Jun 02, 2022 | $9.02 | $9.30 | $8.55 | $8.82 | 147 389 |
Jun 01, 2022 | $9.69 | $9.69 | $8.83 | $8.88 | 227 935 |
May 31, 2022 | $9.66 | $10.35 | $9.32 | $9.38 | 403 772 |
May 27, 2022 | $8.41 | $9.92 | $8.36 | $9.50 | 460 433 |
May 26, 2022 | $8.25 | $8.55 | $8.07 | $8.53 | 137 321 |
May 25, 2022 | $7.90 | $8.11 | $7.77 | $8.07 | 74 583 |
May 24, 2022 | $8.01 | $8.34 | $7.78 | $8.05 | 121 892 |
May 23, 2022 | $7.61 | $8.18 | $7.54 | $8.01 | 174 890 |
May 20, 2022 | $8.48 | $8.48 | $7.31 | $7.62 | 200 928 |
May 19, 2022 | $8.25 | $8.30 | $7.90 | $8.11 | 137 162 |
May 18, 2022 | $7.95 | $8.33 | $7.75 | $8.33 | 114 816 |
May 17, 2022 | $8.19 | $8.21 | $7.95 | $8.01 | 104 246 |
May 16, 2022 | $7.87 | $8.21 | $7.71 | $8.04 | 115 683 |
May 13, 2022 | $7.88 | $8.25 | $7.73 | $7.99 | 185 140 |
May 12, 2022 | $7.04 | $7.70 | $7.01 | $7.65 | 184 166 |
May 11, 2022 | $7.71 | $8.12 | $6.99 | $7.21 | 223 905 |
May 10, 2022 | $7.39 | $7.83 | $7.23 | $7.74 | 295 694 |
May 09, 2022 | $7.81 | $7.99 | $7.22 | $7.28 | 290 327 |
May 06, 2022 | $8.36 | $8.44 | $7.81 | $8.00 | 228 280 |
May 05, 2022 | $8.86 | $8.93 | $8.32 | $8.39 | 206 587 |
May 04, 2022 | $8.72 | $9.00 | $8.42 | $8.95 | 195 211 |
May 03, 2022 | $8.67 | $9.00 | $8.57 | $8.78 | 268 293 |
May 02, 2022 | $9.09 | $9.14 | $8.57 | $8.74 | 279 082 |
Apr 29, 2022 | $8.93 | $9.47 | $8.90 | $9.09 | 120 866 |
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.