NYSE:EVER
EverQuote, Inc. Stock Price (Quote)
$24.39
+0.770 (+3.26%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $17.38 | $25.69 | Thursday, 16th May 2024 EVER stock ended at $24.39. This is 3.26% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 7.36% from a day low at $23.38 to a day high of $25.10. |
90 days | $14.28 | $25.69 | |
52 weeks | $5.36 | $25.69 |
Date | Open | High | Low | Close | Volume |
Sep 06, 2023 | $6.05 | $6.20 | $5.80 | $6.03 | 238 823 |
Sep 05, 2023 | $6.06 | $6.14 | $5.90 | $5.94 | 190 867 |
Sep 01, 2023 | $6.18 | $6.25 | $6.02 | $6.22 | 149 932 |
Aug 31, 2023 | $6.18 | $6.44 | $6.15 | $6.18 | 118 818 |
Aug 30, 2023 | $6.07 | $6.24 | $6.01 | $6.16 | 112 040 |
Aug 29, 2023 | $5.71 | $6.12 | $5.61 | $6.10 | 142 661 |
Aug 28, 2023 | $5.57 | $5.83 | $5.57 | $5.72 | 147 419 |
Aug 25, 2023 | $5.75 | $6.08 | $5.52 | $5.55 | 238 674 |
Aug 24, 2023 | $5.73 | $5.95 | $5.68 | $5.73 | 245 570 |
Aug 23, 2023 | $5.83 | $5.94 | $5.70 | $5.72 | 275 485 |
Aug 22, 2023 | $6.06 | $6.11 | $5.82 | $5.85 | 277 548 |
Aug 21, 2023 | $6.46 | $6.53 | $5.96 | $6.05 | 218 957 |
Aug 18, 2023 | $6.59 | $6.70 | $6.36 | $6.51 | 290 217 |
Aug 17, 2023 | $6.49 | $6.83 | $6.49 | $6.72 | 249 644 |
Aug 16, 2023 | $6.00 | $6.62 | $5.99 | $6.50 | 458 665 |
Aug 15, 2023 | $5.90 | $5.96 | $5.79 | $5.95 | 232 576 |
Aug 14, 2023 | $5.92 | $6.01 | $5.77 | $5.97 | 166 986 |
Aug 11, 2023 | $6.11 | $6.22 | $5.95 | $5.96 | 271 326 |
Aug 10, 2023 | $5.85 | $6.20 | $5.85 | $6.14 | 275 421 |
Aug 09, 2023 | $5.52 | $5.80 | $5.36 | $5.77 | 433 265 |
Aug 08, 2023 | $5.63 | $6.17 | $5.40 | $5.57 | 921 615 |
Aug 07, 2023 | $6.77 | $6.77 | $6.43 | $6.57 | 363 813 |
Aug 04, 2023 | $6.81 | $7.01 | $6.70 | $6.75 | 169 126 |
Aug 03, 2023 | $6.60 | $6.90 | $6.56 | $6.83 | 113 336 |
Aug 02, 2023 | $6.66 | $6.71 | $6.44 | $6.63 | 240 380 |
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 EVER stock historical prices to predict future price movements?
Trend Analysis: Examine the EVER 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 EVER 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.