NYSE:DFT
Delisted
Dupont Fabros Technology Inc Fund Price (Quote)
$66.31
+0 (+0%)
At Close: Jul 22, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $66.31 | $66.31 | Monday, 22nd Jul 2019 DFT stock ended at $66.31. During the day the stock fluctuated 0% from a day low at $66.31 to a day high of $66.31. |
90 days | $66.31 | $66.31 | |
52 weeks | $66.31 | $66.31 |
Historical Dupont Fabros Technology Inc prices
Date | Open | High | Low | Close | Volume |
Sep 16, 2016 | $42.26 | $42.80 | $42.02 | $42.24 | 756 000 |
Sep 15, 2016 | $42.32 | $42.66 | $42.05 | $42.06 | 581 200 |
Sep 14, 2016 | $42.60 | $42.83 | $42.10 | $41.89 | 598 300 |
Sep 13, 2016 | $43.38 | $43.38 | $41.90 | $41.55 | 544 300 |
Sep 12, 2016 | $42.74 | $43.76 | $42.59 | $43.00 | 912 700 |
Sep 09, 2016 | $43.50 | $43.76 | $42.69 | $42.45 | 1 930 900 |
Sep 08, 2016 | $44.16 | $44.57 | $43.91 | $43.47 | 828 800 |
Sep 07, 2016 | $44.00 | $44.57 | $43.58 | $43.88 | 985 100 |
Sep 06, 2016 | $43.21 | $44.06 | $42.84 | $43.51 | 870 100 |
Sep 02, 2016 | $42.30 | $43.87 | $42.29 | $42.49 | 1 003 700 |
Sep 01, 2016 | $42.21 | $42.35 | $41.53 | $41.63 | 1 115 800 |
Aug 31, 2016 | $43.00 | $43.02 | $42.34 | $41.89 | 1 018 500 |
Aug 30, 2016 | $43.21 | $43.21 | $42.66 | $42.49 | 634 000 |
Aug 29, 2016 | $43.12 | $43.44 | $42.79 | $42.69 | 599 100 |
Aug 26, 2016 | $42.60 | $43.04 | $42.25 | $42.49 | 1 120 100 |
Aug 25, 2016 | $43.50 | $43.64 | $42.20 | $42.13 | 2 251 400 |
Aug 24, 2016 | $45.45 | $45.68 | $43.55 | $43.16 | 1 560 500 |
Aug 23, 2016 | $45.12 | $45.68 | $45.12 | $44.86 | 870 400 |
Aug 22, 2016 | $44.45 | $45.04 | $44.24 | $44.50 | 745 500 |
Aug 19, 2016 | $44.53 | $44.56 | $43.60 | $43.97 | 760 000 |
Aug 18, 2016 | $45.08 | $45.20 | $43.96 | $44.06 | 1 048 600 |
Aug 17, 2016 | $45.30 | $45.31 | $43.94 | $44.64 | 841 400 |
Aug 16, 2016 | $46.31 | $46.31 | $45.31 | $44.81 | 503 600 |
Aug 15, 2016 | $47.24 | $47.44 | $46.22 | $45.80 | 579 100 |
Aug 12, 2016 | $47.35 | $48.20 | $46.93 | $46.61 | 697 800 |
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 DFT stock historical prices to predict future price movements?
Trend Analysis: Examine the DFT 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 DFT 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.