NASDAQ:BIOC
Delisted
Biocept Stock Price (Quote)
$0.435
+0 (+0%)
At Close: Jan 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.435 | $0.435 | Tuesday, 23rd Jan 2024 BIOC stock ended at $0.435. During the day the stock fluctuated 0% from a day low at $0.435 to a day high of $0.435. |
90 days | $0.435 | $0.435 | |
52 weeks | $0.210 | $13.43 |
Date | Open | High | Low | Close | Volume |
May 19, 2020 | $0.400 | $0.402 | $0.385 | $0.391 | 5 445 163 |
May 18, 2020 | $0.397 | $0.410 | $0.390 | $0.397 | 6 146 290 |
May 15, 2020 | $0.405 | $0.405 | $0.384 | $0.397 | 6 754 123 |
May 14, 2020 | $0.421 | $0.455 | $0.380 | $0.406 | 26 891 941 |
May 13, 2020 | $0.460 | $0.505 | $0.411 | $0.439 | 29 558 900 |
May 12, 2020 | $0.430 | $0.450 | $0.416 | $0.440 | 12 059 278 |
May 11, 2020 | $0.430 | $0.430 | $0.400 | $0.420 | 8 190 738 |
May 08, 2020 | $0.399 | $0.424 | $0.392 | $0.413 | 12 628 023 |
May 07, 2020 | $0.380 | $0.405 | $0.375 | $0.393 | 5 192 560 |
May 06, 2020 | $0.410 | $0.410 | $0.385 | $0.387 | 6 295 680 |
May 05, 2020 | $0.381 | $0.426 | $0.380 | $0.405 | 16 541 226 |
May 04, 2020 | $0.380 | $0.380 | $0.366 | $0.380 | 3 785 586 |
May 01, 2020 | $0.370 | $0.383 | $0.370 | $0.378 | 4 233 950 |
Apr 30, 2020 | $0.390 | $0.390 | $0.370 | $0.385 | 6 108 569 |
Apr 29, 2020 | $0.400 | $0.405 | $0.385 | $0.393 | 7 607 315 |
Apr 28, 2020 | $0.431 | $0.458 | $0.396 | $0.405 | 25 363 736 |
Apr 27, 2020 | $0.375 | $0.395 | $0.370 | $0.386 | 6 332 788 |
Apr 24, 2020 | $0.393 | $0.396 | $0.372 | $0.385 | 6 329 328 |
Apr 23, 2020 | $0.385 | $0.404 | $0.365 | $0.395 | 11 109 463 |
Apr 22, 2020 | $0.401 | $0.410 | $0.385 | $0.387 | 7 164 971 |
Apr 21, 2020 | $0.422 | $0.422 | $0.390 | $0.410 | 8 444 583 |
Apr 20, 2020 | $0.460 | $0.460 | $0.425 | $0.434 | 17 638 485 |
Apr 17, 2020 | $0.404 | $0.480 | $0.380 | $0.462 | 30 362 132 |
Apr 16, 2020 | $0.430 | $0.436 | $0.400 | $0.420 | 9 678 745 |
Apr 15, 2020 | $0.453 | $0.455 | $0.365 | $0.436 | 16 807 320 |
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 BIOC stock historical prices to predict future price movements?
Trend Analysis: Examine the BIOC 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 BIOC 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.