NASDAQ:MITL
Delisted
Mitel Networks Corporation Fund Price (Quote)
$11.15
+0 (+0%)
At Close: Dec 17, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.95 | $11.16 | Monday, 17th Dec 2018 MITL stock ended at $11.15. During the day the stock fluctuated 0% from a day low at $11.15 to a day high of $11.15. |
90 days | $10.93 | $11.16 | |
52 weeks | $7.87 | $11.31 |
Historical Mitel Networks Corporation prices
Date | Open | High | Low | Close | Volume |
Apr 14, 2016 | $8.08 | $8.14 | $7.67 | $7.88 | 307 611 |
Apr 13, 2016 | $7.99 | $8.18 | $7.96 | $8.06 | 197 362 |
Apr 12, 2016 | $8.05 | $8.07 | $7.81 | $7.96 | 384 620 |
Apr 11, 2016 | $8.21 | $8.35 | $8.03 | $8.08 | 306 253 |
Apr 08, 2016 | $8.01 | $8.31 | $8.00 | $8.21 | 711 361 |
Apr 07, 2016 | $8.15 | $8.21 | $7.80 | $7.95 | 276 562 |
Apr 06, 2016 | $7.73 | $8.25 | $7.65 | $8.22 | 433 905 |
Apr 05, 2016 | $7.65 | $7.76 | $7.58 | $7.70 | 171 917 |
Apr 04, 2016 | $7.87 | $7.98 | $7.68 | $7.71 | 183 482 |
Apr 01, 2016 | $8.08 | $8.17 | $7.80 | $7.88 | 216 652 |
Mar 31, 2016 | $8.23 | $8.34 | $8.10 | $8.18 | 253 124 |
Mar 30, 2016 | $7.59 | $8.19 | $7.56 | $8.14 | 360 239 |
Mar 29, 2016 | $7.40 | $7.66 | $7.35 | $7.56 | 551 900 |
Mar 28, 2016 | $7.32 | $7.52 | $7.29 | $7.45 | 158 500 |
Mar 24, 2016 | $7.25 | $7.36 | $7.06 | $7.33 | 205 700 |
Mar 23, 2016 | $7.29 | $7.38 | $7.09 | $7.27 | 227 700 |
Mar 22, 2016 | $7.46 | $7.47 | $7.28 | $7.34 | 182 200 |
Mar 21, 2016 | $7.44 | $7.63 | $7.44 | $7.49 | 912 400 |
Mar 18, 2016 | $7.41 | $7.54 | $7.35 | $7.42 | 235 900 |
Mar 17, 2016 | $7.29 | $7.49 | $7.18 | $7.42 | 395 900 |
Mar 16, 2016 | $7.10 | $7.35 | $6.90 | $7.28 | 953 200 |
Mar 15, 2016 | $7.07 | $7.13 | $6.78 | $6.85 | 230 600 |
Mar 14, 2016 | $7.01 | $7.20 | $6.99 | $7.15 | 191 200 |
Mar 11, 2016 | $6.94 | $7.20 | $6.90 | $7.05 | 198 000 |
Mar 10, 2016 | $7.18 | $7.30 | $6.89 | $6.92 | 201 200 |
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 MITL stock historical prices to predict future price movements?
Trend Analysis: Examine the MITL 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 MITL 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.