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 |
Aug 15, 2023 | $2.62 | $2.66 | $2.53 | $2.55 | 435 077 |
Aug 14, 2023 | $2.93 | $2.93 | $2.57 | $2.63 | 784 248 |
Aug 11, 2023 | $2.66 | $2.97 | $2.66 | $2.91 | 1 038 109 |
Aug 10, 2023 | $2.63 | $2.68 | $2.58 | $2.60 | 489 394 |
Aug 09, 2023 | $2.62 | $2.64 | $2.58 | $2.63 | 803 640 |
Aug 08, 2023 | $2.61 | $2.65 | $2.55 | $2.62 | 397 536 |
Aug 07, 2023 | $2.61 | $2.66 | $2.50 | $2.62 | 478 407 |
Aug 04, 2023 | $2.61 | $2.66 | $2.59 | $2.61 | 318 331 |
Aug 03, 2023 | $2.62 | $2.71 | $2.56 | $2.59 | 1 274 962 |
Aug 02, 2023 | $2.64 | $2.65 | $2.56 | $2.63 | 302 927 |
Aug 01, 2023 | $2.59 | $2.66 | $2.55 | $2.65 | 318 055 |
Jul 31, 2023 | $2.60 | $2.65 | $2.57 | $2.64 | 284 589 |
Jul 28, 2023 | $2.51 | $2.62 | $2.45 | $2.60 | 306 568 |
Jul 27, 2023 | $2.56 | $2.57 | $2.45 | $2.48 | 583 955 |
Jul 26, 2023 | $2.52 | $2.58 | $2.49 | $2.53 | 292 360 |
Jul 25, 2023 | $2.57 | $2.57 | $2.46 | $2.51 | 404 570 |
Jul 24, 2023 | $2.63 | $2.64 | $2.55 | $2.59 | 278 244 |
Jul 21, 2023 | $2.64 | $2.65 | $2.56 | $2.63 | 226 802 |
Jul 20, 2023 | $2.70 | $2.72 | $2.60 | $2.61 | 286 179 |
Jul 19, 2023 | $2.65 | $2.75 | $2.63 | $2.71 | 311 550 |
Jul 18, 2023 | $2.59 | $2.69 | $2.57 | $2.62 | 292 227 |
Jul 17, 2023 | $2.63 | $2.65 | $2.55 | $2.59 | 359 925 |
Jul 14, 2023 | $2.75 | $2.75 | $2.56 | $2.63 | 380 561 |
Jul 13, 2023 | $2.75 | $2.82 | $2.71 | $2.71 | 320 328 |
Jul 12, 2023 | $2.80 | $2.80 | $2.68 | $2.78 | 470 898 |
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.