NASDAQ:MILE
Delisted
Metromile, Inc. Stock Price (Quote)
$1.05
+0 (+0%)
At Close: Nov 04, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.05 | $1.05 | Friday, 4th Nov 2022 MILE stock ended at $1.05. During the day the stock fluctuated 0% from a day low at $1.05 to a day high of $1.05. |
90 days | $1.05 | $1.05 | |
52 weeks | $0.751 | $9.81 |
Date | Open | High | Low | Close | Volume |
Dec 16, 2020 | $12.75 | $13.06 | $12.61 | $13.00 | 1 212 107 |
Dec 15, 2020 | $13.25 | $13.79 | $12.71 | $12.85 | 2 085 231 |
Dec 14, 2020 | $12.70 | $13.60 | $12.53 | $13.08 | 3 034 032 |
Dec 11, 2020 | $13.00 | $13.00 | $12.22 | $12.50 | 2 163 130 |
Dec 10, 2020 | $12.25 | $13.31 | $12.13 | $12.83 | 2 078 444 |
Dec 09, 2020 | $12.85 | $12.89 | $11.93 | $12.37 | 1 811 205 |
Dec 08, 2020 | $13.00 | $13.48 | $12.25 | $12.73 | 2 445 380 |
Dec 07, 2020 | $12.70 | $13.50 | $12.40 | $12.72 | 2 309 844 |
Dec 04, 2020 | $12.70 | $13.00 | $12.26 | $12.70 | 1 319 246 |
Dec 03, 2020 | $12.24 | $12.67 | $12.03 | $12.35 | 1 140 332 |
Dec 02, 2020 | $11.76 | $12.10 | $11.30 | $12.00 | 1 149 483 |
Dec 01, 2020 | $12.85 | $13.10 | $11.80 | $12.01 | 2 008 144 |
Nov 30, 2020 | $13.80 | $13.87 | $12.72 | $12.80 | 3 043 902 |
Nov 27, 2020 | $13.74 | $14.00 | $12.81 | $13.61 | 2 895 277 |
Nov 25, 2020 | $12.44 | $14.79 | $11.73 | $13.49 | 8 193 992 |
Nov 24, 2020 | $11.49 | $12.58 | $10.80 | $11.19 | 6 139 164 |
Nov 23, 2020 | $9.75 | $9.75 | $9.75 | $9.75 | 0 |
Nov 20, 2020 | $9.75 | $9.75 | $9.75 | $9.75 | 10 |
Nov 19, 2020 | $9.75 | $9.75 | $9.75 | $9.75 | 0 |
Nov 18, 2020 | $9.75 | $9.75 | $9.75 | $9.75 | 0 |
Nov 17, 2020 | $9.75 | $9.75 | $9.75 | $9.75 | 0 |
Nov 16, 2020 | $9.75 | $9.75 | $9.75 | $9.75 | 0 |
Nov 13, 2020 | $9.75 | $9.75 | $9.75 | $9.75 | 0 |
Nov 12, 2020 | $9.75 | $9.75 | $9.75 | $9.75 | 0 |
Nov 11, 2020 | $9.75 | $9.75 | $9.75 | $9.75 | 0 |
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 MILE stock historical prices to predict future price movements?
Trend Analysis: Examine the MILE 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 MILE 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.