NASDAQ:BNAI
Brand Engagement Network, Inc. Stock Price (Quote)
$2.98
-0.640 (-17.68%)
At Close: Jun 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.10 | $8.43 | Friday, 21st Jun 2024 BNAI stock ended at $2.98. This is 17.68% less than the trading day before Thursday, 20th Jun 2024. During the day the stock fluctuated 28.98% from a day low at $2.83 to a day high of $3.65. |
90 days | $0.99 | $8.43 | |
52 weeks | $0.99 | $19.75 |
Historical Brand Engagement Network, Inc. prices
Date | Open | High | Low | Close | Volume |
Jun 21, 2024 | $3.51 | $3.65 | $2.83 | $2.98 | 360 342 |
Jun 20, 2024 | $3.90 | $3.90 | $3.55 | $3.62 | 145 412 |
Jun 18, 2024 | $3.90 | $3.90 | $3.47 | $3.59 | 336 639 |
Jun 17, 2024 | $4.13 | $4.34 | $3.80 | $4.13 | 306 530 |
Jun 14, 2024 | $4.44 | $4.72 | $3.90 | $4.17 | 474 924 |
Jun 13, 2024 | $4.34 | $5.00 | $4.22 | $4.41 | 821 233 |
Jun 12, 2024 | $4.26 | $4.64 | $4.10 | $4.37 | 423 372 |
Jun 11, 2024 | $4.45 | $5.13 | $3.66 | $4.15 | 1 597 345 |
Jun 10, 2024 | $4.27 | $5.23 | $4.15 | $4.45 | 2 423 368 |
Jun 07, 2024 | $4.04 | $5.18 | $3.95 | $4.07 | 1 629 748 |
Jun 06, 2024 | $3.28 | $5.80 | $3.25 | $4.36 | 5 628 212 |
Jun 05, 2024 | $4.45 | $4.45 | $2.93 | $3.50 | 877 897 |
Jun 04, 2024 | $4.52 | $4.79 | $3.52 | $3.65 | 1 055 312 |
Jun 03, 2024 | $4.75 | $6.32 | $4.20 | $4.69 | 7 609 467 |
May 31, 2024 | $2.56 | $8.43 | $2.30 | $5.44 | 67 044 778 |
May 30, 2024 | $2.43 | $2.60 | $2.16 | $2.58 | 2 509 669 |
May 29, 2024 | $2.08 | $3.16 | $1.68 | $2.64 | 107 707 210 |
May 28, 2024 | $1.20 | $1.35 | $1.10 | $1.27 | 118 816 |
May 24, 2024 | $1.24 | $1.31 | $1.13 | $1.16 | 85 571 |
May 23, 2024 | $1.36 | $1.39 | $1.19 | $1.19 | 61 723 |
May 22, 2024 | $1.21 | $1.29 | $1.21 | $1.29 | 22 176 |
May 21, 2024 | $1.22 | $1.34 | $1.17 | $1.19 | 74 030 |
May 20, 2024 | $1.12 | $1.36 | $1.09 | $1.19 | 156 677 |
May 17, 2024 | $1.25 | $1.28 | $1.10 | $1.12 | 50 853 |
May 16, 2024 | $1.14 | $1.33 | $1.05 | $1.27 | 215 650 |
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 BNAI stock historical prices to predict future price movements?
Trend Analysis: Examine the BNAI 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 BNAI 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.