TSX:ECA
Delisted
Encana Corporation Stock Price (Quote)
$4.96
+0 (+0%)
At Close: Feb 07, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.86 | $6.38 | Friday, 7th Feb 2020 ECA.TO stock ended at $4.96. During the day the stock fluctuated 0% from a day low at $4.96 to a day high of $4.96. |
90 days | $4.86 | $6.48 | |
52 weeks | $4.86 | $10.35 |
Date | Open | High | Low | Close | Volume |
Nov 27, 2019 | $5.27 | $5.27 | $5.27 | $5.27 | 0 |
Nov 26, 2019 | $5.47 | $5.49 | $5.23 | $5.27 | 7 972 066 |
Nov 25, 2019 | $5.38 | $5.50 | $5.28 | $5.48 | 4 726 830 |
Nov 22, 2019 | $5.58 | $5.65 | $5.42 | $5.44 | 4 615 791 |
Nov 21, 2019 | $5.45 | $5.62 | $5.37 | $5.56 | 5 209 136 |
Nov 20, 2019 | $5.26 | $5.62 | $5.20 | $5.42 | 7 961 764 |
Nov 19, 2019 | $5.41 | $5.47 | $5.23 | $5.26 | 5 995 369 |
Nov 18, 2019 | $5.71 | $5.73 | $5.45 | $5.50 | 6 854 039 |
Nov 15, 2019 | $5.76 | $5.90 | $5.73 | $5.76 | 5 030 182 |
Nov 14, 2019 | $5.91 | $5.97 | $5.72 | $5.75 | 4 741 677 |
Nov 13, 2019 | $5.92 | $5.98 | $5.84 | $5.86 | 5 204 582 |
Nov 12, 2019 | $6.11 | $6.18 | $5.95 | $5.97 | 6 914 681 |
Nov 11, 2019 | $6.21 | $6.26 | $6.07 | $6.09 | 7 225 147 |
Nov 08, 2019 | $6.11 | $6.42 | $5.99 | $6.40 | 6 410 000 |
Nov 07, 2019 | $6.28 | $6.36 | $6.14 | $6.16 | 7 739 453 |
Nov 06, 2019 | $6.30 | $6.50 | $6.09 | $6.15 | 15 705 053 |
Nov 05, 2019 | $5.94 | $6.36 | $5.94 | $6.35 | 26 148 087 |
Nov 04, 2019 | $5.55 | $5.89 | $5.52 | $5.87 | 13 063 768 |
Nov 01, 2019 | $5.20 | $5.47 | $5.10 | $5.44 | 14 086 815 |
Oct 31, 2019 | $5.60 | $5.60 | $5.02 | $5.16 | 16 306 037 |
Oct 30, 2019 | $5.69 | $5.72 | $5.48 | $5.53 | 4 166 559 |
Oct 29, 2019 | $5.40 | $5.74 | $5.37 | $5.66 | 7 405 624 |
Oct 28, 2019 | $5.64 | $5.70 | $5.39 | $5.44 | 4 732 910 |
Oct 25, 2019 | $5.38 | $5.57 | $5.32 | $5.56 | 4 791 134 |
Oct 24, 2019 | $5.42 | $5.48 | $5.31 | $5.43 | 7 049 888 |
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 ECA.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the ECA.TO 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 ECA.TO 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.