NYSE:AVP
Delisted
Avon Products Inc Stock Price (Quote)
$5.60
+0 (+0%)
At Close: Apr 16, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.60 | $5.60 | Thursday, 16th Apr 2020 AVP stock ended at $5.60. During the day the stock fluctuated 0% from a day low at $5.60 to a day high of $5.60. |
90 days | $5.60 | $5.60 | |
52 weeks | $2.56 | $5.92 |
Date | Open | High | Low | Close | Volume |
Apr 18, 2019 | $2.68 | $2.71 | $2.61 | $2.64 | 2 147 456 |
Apr 17, 2019 | $2.72 | $2.73 | $2.61 | $2.68 | 3 952 790 |
Apr 16, 2019 | $2.81 | $2.82 | $2.68 | $2.71 | 2 804 115 |
Apr 15, 2019 | $2.87 | $2.89 | $2.77 | $2.80 | 2 996 812 |
Apr 12, 2019 | $2.90 | $2.92 | $2.84 | $2.85 | 6 142 656 |
Apr 11, 2019 | $2.93 | $2.95 | $2.86 | $2.87 | 1 789 492 |
Apr 10, 2019 | $2.85 | $2.96 | $2.82 | $2.95 | 3 078 293 |
Apr 09, 2019 | $2.88 | $2.91 | $2.82 | $2.83 | 3 836 406 |
Apr 08, 2019 | $2.97 | $2.98 | $2.86 | $2.88 | 4 908 841 |
Apr 05, 2019 | $2.92 | $3.04 | $2.91 | $2.97 | 6 831 150 |
Apr 04, 2019 | $2.90 | $2.95 | $2.89 | $2.91 | 3 077 974 |
Apr 03, 2019 | $2.93 | $2.99 | $2.82 | $2.90 | 4 272 199 |
Apr 02, 2019 | $2.96 | $2.99 | $2.90 | $2.94 | 3 336 002 |
Apr 01, 2019 | $2.97 | $3.02 | $2.92 | $2.94 | 3 951 226 |
Mar 29, 2019 | $3.03 | $3.04 | $2.90 | $2.94 | 5 081 503 |
Mar 28, 2019 | $2.96 | $3.08 | $2.96 | $3.02 | 2 119 013 |
Mar 27, 2019 | $3.16 | $3.27 | $2.86 | $2.98 | 12 731 429 |
Mar 26, 2019 | $3.17 | $3.34 | $3.15 | $3.29 | 8 844 966 |
Mar 25, 2019 | $3.09 | $3.16 | $2.93 | $3.14 | 8 395 449 |
Mar 22, 2019 | $2.91 | $3.15 | $2.80 | $3.06 | 20 474 240 |
Mar 21, 2019 | $2.80 | $2.84 | $2.74 | $2.78 | 3 961 938 |
Mar 20, 2019 | $2.86 | $2.88 | $2.79 | $2.81 | 4 445 833 |
Mar 19, 2019 | $3.00 | $3.03 | $2.81 | $2.87 | 5 355 219 |
Mar 18, 2019 | $2.90 | $3.00 | $2.90 | $2.98 | 4 231 921 |
Mar 15, 2019 | $2.88 | $2.96 | $2.81 | $2.92 | 17 269 946 |
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 AVP stock historical prices to predict future price movements?
Trend Analysis: Examine the AVP 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 AVP 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.