NYSE:LTM
Delisted
LATAM Airlines Group S.A. Stock Price (Quote)
$3.21
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.21 | $3.21 | Friday, 4th Sep 2020 LTM stock ended at $3.21. During the day the stock fluctuated 0% from a day low at $3.21 to a day high of $3.21. |
90 days | $2.32 | $3.50 | |
52 weeks | $1.00 | $12.16 |
Date | Open | High | Low | Close | Volume |
Jun 28, 2019 | $9.20 | $9.37 | $9.20 | $9.37 | 109 473 |
Jun 27, 2019 | $9.26 | $9.39 | $9.18 | $9.23 | 85 237 |
Jun 26, 2019 | $9.31 | $9.44 | $9.24 | $9.26 | 105 585 |
Jun 25, 2019 | $9.23 | $9.35 | $9.16 | $9.25 | 350 660 |
Jun 24, 2019 | $9.28 | $9.41 | $9.17 | $9.27 | 263 785 |
Jun 21, 2019 | $9.47 | $9.63 | $9.24 | $9.24 | 408 532 |
Jun 20, 2019 | $9.36 | $9.49 | $9.35 | $9.47 | 221 402 |
Jun 19, 2019 | $9.15 | $9.27 | $9.07 | $9.27 | 204 745 |
Jun 18, 2019 | $9.01 | $9.24 | $9.01 | $9.18 | 242 824 |
Jun 17, 2019 | $8.98 | $9.07 | $8.89 | $8.98 | 181 246 |
Jun 14, 2019 | $9.20 | $9.20 | $8.98 | $9.01 | 160 458 |
Jun 13, 2019 | $9.29 | $9.39 | $9.21 | $9.25 | 302 874 |
Jun 12, 2019 | $9.26 | $9.32 | $9.17 | $9.23 | 203 806 |
Jun 11, 2019 | $9.26 | $9.36 | $9.19 | $9.27 | 171 016 |
Jun 10, 2019 | $9.23 | $9.30 | $9.14 | $9.17 | 139 644 |
Jun 07, 2019 | $9.06 | $9.27 | $9.03 | $9.20 | 211 756 |
Jun 06, 2019 | $9.06 | $9.11 | $8.96 | $9.03 | 278 561 |
Jun 05, 2019 | $9.16 | $9.16 | $8.90 | $9.01 | 419 061 |
Jun 04, 2019 | $9.05 | $9.17 | $9.02 | $9.08 | 271 144 |
Jun 03, 2019 | $8.87 | $9.08 | $8.75 | $8.98 | 374 224 |
May 31, 2019 | $8.55 | $8.89 | $8.41 | $8.82 | 384 295 |
May 30, 2019 | $8.36 | $8.63 | $8.32 | $8.61 | 302 177 |
May 29, 2019 | $8.18 | $8.38 | $8.05 | $8.35 | 646 061 |
May 28, 2019 | $8.39 | $8.49 | $8.24 | $8.31 | 282 746 |
May 24, 2019 | $8.44 | $8.48 | $8.29 | $8.37 | 267 631 |
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 LTM stock historical prices to predict future price movements?
Trend Analysis: Examine the LTM 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 LTM 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.