NASDAQ:ERAS
Erasca, Inc. Stock Price (Quote)
$2.52
+0.0400 (+1.61%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.81 | $2.92 | Friday, 31st May 2024 ERAS stock ended at $2.52. This is 1.61% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.64% from a day low at $2.47 to a day high of $2.56. |
90 days | $1.74 | $2.92 | |
52 weeks | $1.51 | $3.38 |
Historical Erasca, Inc. prices
Date | Open | High | Low | Close | Volume |
Oct 25, 2023 | $2.29 | $2.29 | $2.15 | $2.17 | 401 288 |
Oct 24, 2023 | $2.21 | $2.39 | $2.16 | $2.33 | 473 159 |
Oct 23, 2023 | $2.21 | $2.23 | $2.15 | $2.23 | 562 294 |
Oct 20, 2023 | $2.23 | $2.27 | $2.16 | $2.22 | 554 549 |
Oct 19, 2023 | $2.27 | $2.32 | $2.23 | $2.23 | 500 073 |
Oct 18, 2023 | $2.46 | $2.46 | $2.32 | $2.34 | 508 458 |
Oct 17, 2023 | $2.27 | $2.47 | $2.27 | $2.43 | 720 148 |
Oct 16, 2023 | $2.38 | $2.41 | $2.25 | $2.29 | 1 145 212 |
Oct 13, 2023 | $2.43 | $2.60 | $2.30 | $2.34 | 1 630 513 |
Oct 12, 2023 | $2.31 | $2.44 | $2.22 | $2.40 | 1 042 464 |
Oct 11, 2023 | $2.54 | $2.54 | $2.18 | $2.31 | 970 300 |
Oct 10, 2023 | $2.43 | $2.77 | $2.43 | $2.49 | 1 622 917 |
Oct 09, 2023 | $2.17 | $2.23 | $2.14 | $2.20 | 500 601 |
Oct 06, 2023 | $2.11 | $2.25 | $2.09 | $2.21 | 596 033 |
Oct 05, 2023 | $1.92 | $2.16 | $1.86 | $2.12 | 2 006 822 |
Oct 04, 2023 | $1.91 | $1.89 | $1.82 | $1.89 | 314 713 |
Oct 03, 2023 | $1.94 | $1.94 | $1.84 | $1.88 | 416 535 |
Oct 02, 2023 | $1.96 | $1.98 | $1.88 | $1.93 | 432 593 |
Sep 29, 2023 | $2.05 | $2.05 | $1.96 | $1.97 | 382 904 |
Sep 28, 2023 | $2.16 | $2.20 | $1.98 | $2.02 | 490 247 |
Sep 27, 2023 | $2.21 | $2.18 | $2.12 | $2.17 | 304 527 |
Sep 26, 2023 | $2.13 | $2.22 | $2.09 | $2.12 | 445 714 |
Sep 25, 2023 | $2.24 | $2.24 | $2.11 | $2.12 | 629 800 |
Sep 22, 2023 | $2.41 | $2.51 | $2.24 | $2.25 | 619 682 |
Sep 21, 2023 | $2.31 | $2.39 | $2.28 | $2.36 | 604 185 |
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 ERAS stock historical prices to predict future price movements?
Trend Analysis: Examine the ERAS 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 ERAS 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.