NASDAQ:CEMI
Delisted
Chembio Diagnostics Stock Price (Quote)
$0.455
+0 (+0%)
At Close: Jul 26, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.455 | $0.455 | Wednesday, 26th Jul 2023 CEMI stock ended at $0.455. During the day the stock fluctuated 0% from a day low at $0.455 to a day high of $0.455. |
90 days | $0.447 | $0.455 | |
52 weeks | $0.190 | $1.24 |
Historical Chembio Diagnostics prices
Date | Open | High | Low | Close | Volume |
Jun 23, 2021 | $2.90 | $3.02 | $2.90 | $3.02 | 367 796 |
Jun 22, 2021 | $2.90 | $2.95 | $2.81 | $2.88 | 463 288 |
Jun 21, 2021 | $3.02 | $3.04 | $2.83 | $2.90 | 721 503 |
Jun 18, 2021 | $3.06 | $3.09 | $3.01 | $3.03 | 491 599 |
Jun 17, 2021 | $3.07 | $3.14 | $3.05 | $3.07 | 410 527 |
Jun 16, 2021 | $3.12 | $3.14 | $3.01 | $3.10 | 453 493 |
Jun 15, 2021 | $3.29 | $3.32 | $3.10 | $3.14 | 616 322 |
Jun 14, 2021 | $3.27 | $3.42 | $3.21 | $3.29 | 1 107 832 |
Jun 11, 2021 | $3.27 | $3.32 | $3.19 | $3.24 | 359 974 |
Jun 10, 2021 | $3.25 | $3.39 | $3.19 | $3.24 | 648 734 |
Jun 09, 2021 | $3.26 | $3.29 | $3.20 | $3.21 | 418 216 |
Jun 08, 2021 | $3.27 | $3.35 | $3.12 | $3.22 | 477 833 |
Jun 07, 2021 | $3.07 | $3.29 | $3.07 | $3.26 | 562 434 |
Jun 04, 2021 | $3.15 | $3.16 | $3.04 | $3.06 | 292 600 |
Jun 03, 2021 | $3.21 | $3.26 | $3.09 | $3.11 | 643 040 |
Jun 02, 2021 | $3.26 | $3.29 | $3.17 | $3.27 | 319 661 |
Jun 01, 2021 | $3.20 | $3.29 | $3.20 | $3.24 | 250 696 |
May 28, 2021 | $3.23 | $3.27 | $3.17 | $3.19 | 233 944 |
May 27, 2021 | $3.18 | $3.30 | $3.12 | $3.20 | 447 505 |
May 26, 2021 | $3.07 | $3.18 | $3.03 | $3.16 | 290 710 |
May 25, 2021 | $3.07 | $3.08 | $2.98 | $3.03 | 549 114 |
May 24, 2021 | $3.17 | $3.20 | $3.06 | $3.07 | 452 053 |
May 21, 2021 | $3.22 | $3.28 | $3.15 | $3.18 | 348 640 |
May 20, 2021 | $3.25 | $3.28 | $3.13 | $3.19 | 546 808 |
May 19, 2021 | $3.29 | $3.29 | $3.19 | $3.24 | 301 418 |
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 CEMI stock historical prices to predict future price movements?
Trend Analysis: Examine the CEMI 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 CEMI 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.