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 |
May 31, 2016 | $6.18 | $6.23 | $6.00 | $6.01 | 720 932 |
May 27, 2016 | $6.13 | $6.15 | $6.05 | $6.13 | 465 542 |
May 26, 2016 | $6.25 | $6.25 | $6.09 | $6.12 | 553 440 |
May 25, 2016 | $6.15 | $6.29 | $6.15 | $6.26 | 279 701 |
May 24, 2016 | $6.19 | $6.27 | $6.13 | $6.18 | 393 796 |
May 23, 2016 | $6.26 | $6.26 | $6.14 | $6.18 | 399 446 |
May 20, 2016 | $6.32 | $6.44 | $6.28 | $6.28 | 473 793 |
May 19, 2016 | $6.35 | $6.40 | $6.23 | $6.28 | 400 765 |
May 18, 2016 | $6.45 | $6.52 | $6.35 | $6.40 | 568 447 |
May 17, 2016 | $6.41 | $6.53 | $6.35 | $6.49 | 705 079 |
May 16, 2016 | $6.50 | $6.61 | $6.40 | $6.41 | 473 333 |
May 13, 2016 | $6.65 | $6.73 | $6.43 | $6.45 | 653 766 |
May 12, 2016 | $6.96 | $6.99 | $6.61 | $6.65 | 912 502 |
May 11, 2016 | $6.68 | $6.76 | $6.56 | $6.60 | 797 933 |
May 10, 2016 | $6.55 | $6.67 | $6.47 | $6.65 | 756 638 |
May 09, 2016 | $6.62 | $6.68 | $6.43 | $6.45 | 1 546 770 |
May 06, 2016 | $6.85 | $6.91 | $6.65 | $6.74 | 1 002 875 |
May 05, 2016 | $6.99 | $7.05 | $6.88 | $6.88 | 599 021 |
May 04, 2016 | $6.98 | $7.02 | $6.83 | $6.93 | 364 486 |
May 03, 2016 | $7.00 | $7.07 | $6.80 | $7.01 | 524 370 |
May 02, 2016 | $7.20 | $7.20 | $7.02 | $7.08 | 333 322 |
Apr 29, 2016 | $7.22 | $7.25 | $7.10 | $7.18 | 418 734 |
Apr 28, 2016 | $7.00 | $7.29 | $6.96 | $7.19 | 688 590 |
Apr 27, 2016 | $6.79 | $7.02 | $6.79 | $7.02 | 245 985 |
Apr 26, 2016 | $6.85 | $6.91 | $6.75 | $6.81 | 301 794 |
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.