NASDAQ:BNGO
BioNano Genomics Stock Price (Quote)
$1.03
-0.0400 (-3.74%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.772 | $1.21 | Tuesday, 28th May 2024 BNGO stock ended at $1.03. This is 3.74% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 7.84% from a day low at $1.02 to a day high of $1.10. |
90 days | $0.714 | $1.35 | |
52 weeks | $0.714 | $8.20 |
Historical BioNano Genomics Inc. prices
Date | Open | High | Low | Close | Volume |
May 28, 2024 | $1.08 | $1.10 | $1.02 | $1.03 | 842 079 |
May 24, 2024 | $1.06 | $1.09 | $1.04 | $1.07 | 646 474 |
May 23, 2024 | $1.10 | $1.13 | $1.00 | $1.03 | 1 048 001 |
May 22, 2024 | $1.05 | $1.18 | $1.04 | $1.11 | 1 801 536 |
May 21, 2024 | $1.05 | $1.08 | $1.02 | $1.05 | 698 092 |
May 20, 2024 | $1.15 | $1.15 | $1.03 | $1.08 | 1 201 325 |
May 17, 2024 | $1.12 | $1.15 | $1.09 | $1.14 | 865 051 |
May 16, 2024 | $1.16 | $1.16 | $1.04 | $1.11 | 1 450 902 |
May 15, 2024 | $1.15 | $1.21 | $1.11 | $1.15 | 2 390 982 |
May 14, 2024 | $1.06 | $1.15 | $1.04 | $1.11 | 2 114 153 |
May 13, 2024 | $0.96 | $1.07 | $0.96 | $1.03 | 1 380 027 |
May 10, 2024 | $1.01 | $1.01 | $0.93 | $0.96 | 615 566 |
May 09, 2024 | $0.95 | $1.01 | $0.91 | $0.98 | 1 016 806 |
May 08, 2024 | $0.94 | $0.95 | $0.89 | $0.92 | 1 092 051 |
May 07, 2024 | $1.01 | $1.02 | $0.95 | $0.96 | 695 670 |
May 06, 2024 | $0.95 | $1.01 | $0.95 | $1.00 | 814 933 |
May 03, 2024 | $0.98 | $1.02 | $0.93 | $0.95 | 972 733 |
May 02, 2024 | $0.99 | $1.01 | $0.90 | $0.95 | 934 916 |
May 01, 2024 | $0.89 | $0.98 | $0.89 | $0.96 | 1 009 075 |
Apr 30, 2024 | $0.86 | $0.89 | $0.84 | $0.88 | 535 200 |
Apr 29, 2024 | $0.774 | $0.87 | $0.772 | $0.87 | 1 131 097 |
Apr 26, 2024 | $0.759 | $0.788 | $0.751 | $0.786 | 546 546 |
Apr 25, 2024 | $0.778 | $0.784 | $0.740 | $0.759 | 831 726 |
Apr 24, 2024 | $0.790 | $0.81 | $0.756 | $0.761 | 792 666 |
Apr 23, 2024 | $0.770 | $0.81 | $0.770 | $0.794 | 820 875 |
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 BNGO stock historical prices to predict future price movements?
Trend Analysis: Examine the BNGO 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 BNGO 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.