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 |
Feb 10, 2017 | $3.10 | $3.22 | $3.00 | $3.20 | 1 039 624 |
Feb 09, 2017 | $2.95 | $3.10 | $2.92 | $3.05 | 1 686 945 |
Feb 08, 2017 | $3.00 | $3.10 | $2.90 | $2.90 | 2 262 030 |
Feb 07, 2017 | $3.15 | $3.20 | $2.95 | $3.00 | 1 279 601 |
Feb 06, 2017 | $3.15 | $3.25 | $3.10 | $3.15 | 1 076 104 |
Feb 03, 2017 | $3.20 | $3.25 | $3.10 | $3.20 | 867 836 |
Feb 02, 2017 | $3.10 | $3.20 | $3.00 | $3.20 | 473 671 |
Feb 01, 2017 | $3.20 | $3.20 | $3.05 | $3.15 | 967 477 |
Jan 31, 2017 | $3.10 | $3.35 | $3.10 | $3.15 | 1 381 950 |
Jan 30, 2017 | $3.15 | $3.20 | $3.00 | $3.20 | 720 051 |
Jan 27, 2017 | $3.15 | $3.25 | $3.10 | $3.15 | 948 024 |
Jan 26, 2017 | $3.00 | $3.15 | $3.00 | $3.15 | 1 231 925 |
Jan 25, 2017 | $2.90 | $3.10 | $2.85 | $2.95 | 1 608 838 |
Jan 24, 2017 | $2.90 | $2.92 | $2.75 | $2.85 | 2 022 576 |
Jan 23, 2017 | $3.05 | $3.08 | $2.80 | $2.83 | 2 613 918 |
Jan 20, 2017 | $3.20 | $3.24 | $2.95 | $3.00 | 1 513 610 |
Jan 19, 2017 | $3.20 | $3.25 | $3.15 | $3.20 | 583 909 |
Jan 18, 2017 | $3.30 | $3.35 | $3.15 | $3.25 | 1 066 868 |
Jan 17, 2017 | $3.35 | $3.35 | $3.15 | $3.25 | 1 611 324 |
Jan 13, 2017 | $3.40 | $3.58 | $3.35 | $3.40 | 1 279 529 |
Jan 12, 2017 | $3.30 | $3.45 | $3.25 | $3.40 | 958 532 |
Jan 11, 2017 | $3.70 | $3.70 | $3.25 | $3.38 | 2 150 681 |
Jan 10, 2017 | $3.45 | $3.70 | $3.40 | $3.65 | 1 748 629 |
Jan 09, 2017 | $3.75 | $3.80 | $3.30 | $3.35 | 2 916 876 |
Jan 06, 2017 | $3.30 | $3.75 | $3.25 | $3.75 | 4 845 861 |
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.