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Range Low Price High Price Comment
30 days $0.88 $0.88 Monday, 10th Aug 2020 AVH stock ended at $0.88. During the day the stock fluctuated 0% from a day low at $0.88 to a day high of $0.88.
90 days $0.88 $0.88
52 weeks $0.620 $5.02

Historical Avianca Holdings SA prices

Date Open High Low Close Volume
Jun 03, 2019 $3.67 $3.74 $3.45 $3.46 121 558
May 31, 2019 $3.87 $3.92 $3.63 $3.65 110 047
May 30, 2019 $3.92 $3.96 $3.81 $3.90 135 705
May 29, 2019 $4.05 $4.11 $3.90 $3.93 199 181
May 28, 2019 $4.26 $4.29 $3.91 $4.05 1 084 500
May 24, 2019 $3.08 $4.00 $3.03 $3.96 2 921 580
May 23, 2019 $3.07 $3.13 $3.00 $3.08 91 407
May 22, 2019 $3.21 $3.26 $3.03 $3.07 163 476
May 21, 2019 $3.04 $3.35 $2.88 $3.25 731 507
May 20, 2019 $3.15 $3.18 $3.03 $3.05 183 078
May 17, 2019 $3.12 $3.18 $3.07 $3.16 231 438
May 16, 2019 $3.30 $3.31 $2.98 $3.11 401 544
May 15, 2019 $3.21 $3.34 $3.21 $3.30 52 178
May 14, 2019 $3.42 $3.55 $3.11 $3.26 231 545
May 13, 2019 $3.54 $3.54 $3.41 $3.42 68 873
May 10, 2019 $3.57 $3.66 $3.44 $3.62 98 328
May 09, 2019 $3.60 $3.62 $3.51 $3.54 94 556
May 08, 2019 $3.69 $3.72 $3.66 $3.67 149 750
May 07, 2019 $3.68 $3.82 $3.64 $3.73 122 035
May 06, 2019 $3.69 $3.79 $3.68 $3.72 111 665
May 03, 2019 $3.72 $3.79 $3.68 $3.69 66 943
May 02, 2019 $3.85 $3.86 $3.68 $3.68 76 236
May 01, 2019 $3.73 $3.85 $3.73 $3.85 46 024
Apr 30, 2019 $3.91 $3.96 $3.64 $3.73 237 069
Apr 29, 2019 $3.91 $3.94 $3.86 $3.88 75 424

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.

How can I use AVH stock historical prices to predict future price movements?
Trend Analysis: Examine the AVH 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.

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.

Why do the AVH 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.
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