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 |
Jun 23, 2021 | $8.99 | $9.21 | $8.88 | $9.04 | 565 324 |
Jun 22, 2021 | $8.53 | $8.98 | $8.39 | $8.95 | 792 531 |
Jun 21, 2021 | $8.63 | $8.78 | $8.33 | $8.60 | 669 148 |
Jun 18, 2021 | $8.68 | $8.79 | $8.39 | $8.59 | 1 796 427 |
Jun 17, 2021 | $8.79 | $8.88 | $8.59 | $8.81 | 496 260 |
Jun 16, 2021 | $8.83 | $9.04 | $8.50 | $8.83 | 622 479 |
Jun 15, 2021 | $8.88 | $8.95 | $8.69 | $8.78 | 450 816 |
Jun 14, 2021 | $8.59 | $8.91 | $8.53 | $8.81 | 786 875 |
Jun 11, 2021 | $8.48 | $8.54 | $8.37 | $8.53 | 484 384 |
Jun 10, 2021 | $8.48 | $8.61 | $8.36 | $8.48 | 489 012 |
Jun 09, 2021 | $8.45 | $8.65 | $8.44 | $8.47 | 685 513 |
Jun 08, 2021 | $8.77 | $8.93 | $8.36 | $8.40 | 699 322 |
Jun 07, 2021 | $8.20 | $8.83 | $8.10 | $8.75 | 1 074 131 |
Jun 04, 2021 | $8.64 | $8.68 | $8.22 | $8.24 | 481 093 |
Jun 03, 2021 | $8.51 | $8.67 | $8.44 | $8.61 | 495 980 |
Jun 02, 2021 | $8.30 | $9.09 | $8.29 | $8.62 | 1 642 801 |
Jun 01, 2021 | $8.21 | $8.29 | $8.09 | $8.10 | 865 342 |
May 28, 2021 | $8.37 | $8.54 | $8.22 | $8.23 | 314 791 |
May 27, 2021 | $8.46 | $8.46 | $8.29 | $8.36 | 369 731 |
May 26, 2021 | $8.27 | $8.41 | $8.20 | $8.36 | 353 563 |
May 25, 2021 | $8.52 | $8.57 | $8.25 | $8.25 | 486 996 |
May 24, 2021 | $8.60 | $8.62 | $8.35 | $8.53 | 394 608 |
May 21, 2021 | $8.78 | $8.78 | $8.55 | $8.55 | 318 119 |
May 20, 2021 | $8.59 | $8.85 | $8.50 | $8.69 | 407 719 |
May 19, 2021 | $8.70 | $8.88 | $8.47 | $8.58 | 505 746 |
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.