NYSE:BLND
Blend Labs, Inc. Stock Price (Quote)
$2.75
-0.120 (-4.18%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.17 | $3.28 | Friday, 31st May 2024 BLND stock ended at $2.75. This is 4.18% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 9.57% from a day low at $2.67 to a day high of $2.92. |
90 days | $2.17 | $3.41 | |
52 weeks | $0.85 | $3.41 |
Historical Blend Labs, Inc. prices
Date | Open | High | Low | Close | Volume |
Nov 30, 2023 | $1.41 | $1.41 | $1.26 | $1.27 | 661 861 |
Nov 29, 2023 | $1.34 | $1.41 | $1.34 | $1.40 | 659 833 |
Nov 28, 2023 | $1.27 | $1.35 | $1.25 | $1.34 | 477 337 |
Nov 27, 2023 | $1.27 | $1.30 | $1.24 | $1.28 | 369 390 |
Nov 24, 2023 | $1.26 | $1.29 | $1.24 | $1.27 | 238 077 |
Nov 22, 2023 | $1.18 | $1.27 | $1.18 | $1.26 | 615 256 |
Nov 21, 2023 | $1.27 | $1.28 | $1.18 | $1.20 | 1 171 394 |
Nov 20, 2023 | $1.24 | $1.29 | $1.24 | $1.27 | 670 696 |
Nov 17, 2023 | $1.27 | $1.27 | $1.24 | $1.26 | 295 671 |
Nov 16, 2023 | $1.25 | $1.26 | $1.20 | $1.25 | 733 085 |
Nov 15, 2023 | $1.29 | $1.35 | $1.25 | $1.25 | 883 193 |
Nov 14, 2023 | $1.25 | $1.38 | $1.22 | $1.27 | 2 402 053 |
Nov 13, 2023 | $1.20 | $1.24 | $1.16 | $1.19 | 916 629 |
Nov 10, 2023 | $1.21 | $1.29 | $1.21 | $1.21 | 969 293 |
Nov 09, 2023 | $1.33 | $1.36 | $1.21 | $1.23 | 511 612 |
Nov 08, 2023 | $1.54 | $1.54 | $1.26 | $1.37 | 572 010 |
Nov 07, 2023 | $1.41 | $1.58 | $1.41 | $1.48 | 991 233 |
Nov 06, 2023 | $1.36 | $1.46 | $1.36 | $1.42 | 404 977 |
Nov 03, 2023 | $1.31 | $1.41 | $1.31 | $1.38 | 443 581 |
Nov 02, 2023 | $1.28 | $1.33 | $1.24 | $1.29 | 441 708 |
Nov 01, 2023 | $1.18 | $1.24 | $1.18 | $1.24 | 339 058 |
Oct 31, 2023 | $1.23 | $1.25 | $1.18 | $1.21 | 211 347 |
Oct 30, 2023 | $1.20 | $1.23 | $1.19 | $1.21 | 108 948 |
Oct 27, 2023 | $1.22 | $1.24 | $1.19 | $1.20 | 288 006 |
Oct 26, 2023 | $1.22 | $1.22 | $1.15 | $1.21 | 280 669 |
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 BLND stock historical prices to predict future price movements?
Trend Analysis: Examine the BLND 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 BLND 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.