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 |
Jan 04, 2017 | $12.30 | $12.45 | $12.10 | $12.40 | 390 951 |
Jan 03, 2017 | $12.25 | $12.52 | $11.90 | $12.30 | 268 483 |
Dec 30, 2016 | $12.30 | $12.43 | $11.90 | $12.10 | 322 663 |
Dec 29, 2016 | $12.25 | $12.90 | $12.20 | $12.35 | 318 239 |
Dec 28, 2016 | $11.80 | $12.40 | $11.75 | $12.15 | 496 942 |
Dec 27, 2016 | $11.90 | $12.00 | $11.75 | $11.75 | 210 108 |
Dec 23, 2016 | $11.70 | $12.05 | $11.70 | $11.75 | 442 789 |
Dec 22, 2016 | $11.60 | $11.85 | $11.10 | $11.70 | 231 054 |
Dec 21, 2016 | $12.00 | $12.00 | $11.40 | $11.55 | 145 902 |
Dec 20, 2016 | $11.70 | $12.40 | $11.70 | $12.00 | 239 643 |
Dec 19, 2016 | $11.45 | $11.80 | $11.35 | $11.70 | 359 764 |
Dec 16, 2016 | $11.25 | $11.97 | $11.00 | $11.60 | 1 201 946 |
Dec 15, 2016 | $11.05 | $11.44 | $10.90 | $11.25 | 177 198 |
Dec 14, 2016 | $11.05 | $11.50 | $10.75 | $11.05 | 202 687 |
Dec 13, 2016 | $11.55 | $11.65 | $11.05 | $11.15 | 160 828 |
Dec 12, 2016 | $11.15 | $11.85 | $11.10 | $11.50 | 263 969 |
Dec 09, 2016 | $10.90 | $11.35 | $10.65 | $11.10 | 329 183 |
Dec 08, 2016 | $10.90 | $11.10 | $10.60 | $10.80 | 346 357 |
Dec 07, 2016 | $10.90 | $11.18 | $10.30 | $10.95 | 345 689 |
Dec 06, 2016 | $10.90 | $11.15 | $10.50 | $11.10 | 229 299 |
Dec 05, 2016 | $10.70 | $10.95 | $10.50 | $10.90 | 201 216 |
Dec 02, 2016 | $10.50 | $11.05 | $10.35 | $10.50 | 299 962 |
Dec 01, 2016 | $11.10 | $11.45 | $10.35 | $10.50 | 330 170 |
Nov 30, 2016 | $11.50 | $11.85 | $10.70 | $11.10 | 307 729 |
Nov 29, 2016 | $11.40 | $11.55 | $11.00 | $11.50 | 202 669 |
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.