NASDAQ:CEMP
Delisted
Cempra Fund Price (Quote)
$2.33
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.33 | $2.33 | Tuesday, 16th Jan 2018 CEMP stock ended at $2.33. During the day the stock fluctuated 0% from a day low at $2.33 to a day high of $2.33. |
90 days | $2.05 | $3.05 | |
52 weeks | $2.05 | $4.85 |
Date | Open | High | Low | Close | Volume |
May 31, 2017 | $3.75 | $3.80 | $3.65 | $3.80 | 1 352 138 |
May 30, 2017 | $3.85 | $3.85 | $3.70 | $3.70 | 1 202 016 |
May 26, 2017 | $3.85 | $3.85 | $3.75 | $3.85 | 919 258 |
May 25, 2017 | $3.85 | $3.90 | $3.75 | $3.85 | 592 267 |
May 24, 2017 | $3.85 | $3.90 | $3.80 | $3.80 | 302 993 |
May 23, 2017 | $3.85 | $3.95 | $3.75 | $3.85 | 549 319 |
May 22, 2017 | $3.85 | $3.90 | $3.70 | $3.85 | 1 221 418 |
May 19, 2017 | $3.95 | $4.00 | $3.75 | $3.80 | 928 048 |
May 18, 2017 | $3.85 | $4.00 | $3.80 | $3.90 | 766 641 |
May 17, 2017 | $4.05 | $4.15 | $3.85 | $3.85 | 792 424 |
May 16, 2017 | $4.20 | $4.25 | $4.03 | $4.15 | 745 009 |
May 15, 2017 | $4.05 | $4.30 | $4.00 | $4.25 | 828 768 |
May 12, 2017 | $4.00 | $4.20 | $3.95 | $4.00 | 795 816 |
May 11, 2017 | $4.00 | $4.05 | $3.85 | $4.00 | 463 343 |
May 10, 2017 | $3.80 | $4.10 | $3.80 | $4.05 | 841 834 |
May 09, 2017 | $3.75 | $3.85 | $3.70 | $3.80 | 307 691 |
May 08, 2017 | $3.75 | $3.90 | $3.70 | $3.70 | 626 156 |
May 05, 2017 | $3.80 | $3.95 | $3.75 | $3.80 | 533 967 |
May 04, 2017 | $3.90 | $3.95 | $3.80 | $3.85 | 457 581 |
May 03, 2017 | $3.95 | $4.00 | $3.85 | $3.85 | 580 823 |
May 02, 2017 | $3.95 | $4.05 | $3.85 | $3.95 | 931 753 |
May 01, 2017 | $4.25 | $4.30 | $3.90 | $3.95 | 1 387 268 |
Apr 28, 2017 | $3.75 | $4.32 | $3.75 | $4.30 | 2 191 474 |
Apr 27, 2017 | $3.85 | $3.90 | $3.75 | $3.85 | 501 284 |
Apr 26, 2017 | $3.80 | $3.90 | $3.75 | $3.85 | 609 858 |
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 CEMP stock historical prices to predict future price movements?
Trend Analysis: Examine the CEMP 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 CEMP 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.