NASDAQ:EPZM
Delisted
Epizyme Stock Price (Quote)
$1.47
+0 (+0%)
At Close: Nov 10, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.47 | $1.47 | Thursday, 10th Nov 2022 EPZM stock ended at $1.47. During the day the stock fluctuated 0% from a day low at $1.47 to a day high of $1.47. |
90 days | $1.47 | $1.47 | |
52 weeks | $0.411 | $4.88 |
Date | Open | High | Low | Close | Volume |
May 18, 2021 | $9.00 | $9.14 | $8.82 | $8.84 | 435 882 |
May 17, 2021 | $9.01 | $9.37 | $8.89 | $9.01 | 777 373 |
May 14, 2021 | $8.74 | $9.17 | $8.61 | $9.13 | 1 359 998 |
May 13, 2021 | $8.55 | $8.74 | $8.15 | $8.67 | 1 262 253 |
May 12, 2021 | $8.53 | $8.99 | $8.47 | $8.55 | 936 507 |
May 11, 2021 | $7.98 | $8.60 | $7.94 | $8.54 | 940 960 |
May 10, 2021 | $8.15 | $8.62 | $8.13 | $8.21 | 1 559 044 |
May 07, 2021 | $7.65 | $8.40 | $7.31 | $8.29 | 3 129 228 |
May 06, 2021 | $7.50 | $7.50 | $6.70 | $6.81 | 2 371 974 |
May 05, 2021 | $7.64 | $7.73 | $7.50 | $7.52 | 1 815 922 |
May 04, 2021 | $7.85 | $7.85 | $7.48 | $7.60 | 1 223 398 |
May 03, 2021 | $7.86 | $7.98 | $7.81 | $7.85 | 986 583 |
Apr 30, 2021 | $7.98 | $8.17 | $7.78 | $7.81 | 805 015 |
Apr 29, 2021 | $8.40 | $8.45 | $8.00 | $8.07 | 784 623 |
Apr 28, 2021 | $8.10 | $8.46 | $8.01 | $8.31 | 632 655 |
Apr 27, 2021 | $8.19 | $8.30 | $8.04 | $8.17 | 740 150 |
Apr 26, 2021 | $7.83 | $8.23 | $7.73 | $8.18 | 1 052 627 |
Apr 23, 2021 | $7.98 | $8.03 | $7.71 | $7.79 | 1 448 764 |
Apr 22, 2021 | $7.91 | $8.02 | $7.57 | $7.88 | 1 489 439 |
Apr 21, 2021 | $7.72 | $7.89 | $7.36 | $7.87 | 2 302 125 |
Apr 20, 2021 | $7.65 | $7.87 | $7.61 | $7.74 | 740 079 |
Apr 19, 2021 | $8.01 | $8.07 | $7.71 | $7.73 | 1 284 764 |
Apr 16, 2021 | $8.31 | $8.33 | $7.85 | $8.10 | 1 161 014 |
Apr 15, 2021 | $8.23 | $8.45 | $8.15 | $8.23 | 827 453 |
Apr 14, 2021 | $8.20 | $8.46 | $8.10 | $8.22 | 1 091 533 |
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 EPZM stock historical prices to predict future price movements?
Trend Analysis: Examine the EPZM 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 EPZM 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.