NASDAQ:ANGI
Angie Stock Price (Quote)
$2.02
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.01 | $2.71 | Friday, 31st May 2024 ANGI stock ended at $2.02. During the day the stock fluctuated 2.98% from a day low at $2.01 to a day high of $2.07. |
90 days | $1.96 | $2.93 | |
52 weeks | $1.55 | $4.18 |
Historical Angie prices
Date | Open | High | Low | Close | Volume |
Jun 02, 2022 | $5.48 | $5.87 | $5.43 | $5.83 | 939 668 |
Jun 01, 2022 | $5.55 | $5.68 | $5.34 | $5.48 | 903 715 |
May 31, 2022 | $5.74 | $5.74 | $5.42 | $5.49 | 2 383 208 |
May 27, 2022 | $5.43 | $5.78 | $5.41 | $5.68 | 3 740 647 |
May 26, 2022 | $4.75 | $5.34 | $4.74 | $5.32 | 1 744 298 |
May 25, 2022 | $4.51 | $4.83 | $4.51 | $4.73 | 926 156 |
May 24, 2022 | $4.85 | $4.85 | $4.50 | $4.57 | 682 800 |
May 23, 2022 | $4.91 | $5.06 | $4.83 | $5.00 | 1 012 921 |
May 20, 2022 | $5.22 | $5.22 | $4.78 | $5.01 | 2 097 030 |
May 19, 2022 | $4.70 | $5.20 | $4.66 | $5.13 | 1 724 954 |
May 18, 2022 | $4.84 | $4.95 | $4.65 | $4.72 | 1 128 230 |
May 17, 2022 | $4.92 | $5.13 | $4.80 | $4.95 | 2 482 533 |
May 16, 2022 | $5.04 | $5.09 | $4.78 | $4.78 | 2 544 947 |
May 13, 2022 | $4.78 | $5.20 | $4.78 | $5.10 | 3 564 312 |
May 12, 2022 | $4.36 | $4.85 | $4.28 | $4.70 | 3 721 832 |
May 11, 2022 | $4.30 | $4.54 | $4.22 | $4.45 | 4 166 399 |
May 10, 2022 | $4.00 | $4.48 | $3.91 | $4.39 | 4 740 805 |
May 09, 2022 | $4.00 | $4.02 | $3.47 | $3.59 | 2 364 015 |
May 06, 2022 | $4.45 | $4.48 | $4.10 | $4.11 | 1 765 604 |
May 05, 2022 | $4.76 | $4.76 | $4.42 | $4.46 | 1 272 399 |
May 04, 2022 | $4.71 | $4.94 | $4.61 | $4.83 | 2 755 311 |
May 03, 2022 | $4.62 | $4.81 | $4.56 | $4.75 | 1 784 380 |
May 02, 2022 | $4.41 | $4.68 | $4.36 | $4.63 | 2 081 762 |
Apr 29, 2022 | $4.63 | $4.80 | $4.40 | $4.41 | 1 979 453 |
Apr 28, 2022 | $4.70 | $4.81 | $4.53 | $4.64 | 2 353 710 |
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 ANGI stock historical prices to predict future price movements?
Trend Analysis: Examine the ANGI 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 ANGI 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.