NASDAQ:MB
Delisted
MINDBODY Stock Price (Quote)
$36.46
+0 (+0%)
At Close: Mar 05, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $36.37 | $36.69 | Tuesday, 5th Mar 2019 MB stock ended at $36.46. During the day the stock fluctuated 0% from a day low at $36.46 to a day high of $36.46. |
90 days | $21.61 | $37.15 | |
52 weeks | $21.61 | $45.50 |
Date | Open | High | Low | Close | Volume |
Jan 28, 2019 | $36.39 | $36.47 | $36.35 | $36.37 | 2 421 755 |
Jan 25, 2019 | $36.46 | $36.49 | $36.39 | $36.40 | 2 923 496 |
Jan 24, 2019 | $36.41 | $36.59 | $36.39 | $36.40 | 988 333 |
Jan 23, 2019 | $36.45 | $36.53 | $36.40 | $36.42 | 1 581 423 |
Jan 22, 2019 | $36.54 | $36.68 | $36.46 | $36.60 | 1 244 461 |
Jan 18, 2019 | $36.72 | $36.76 | $36.51 | $36.53 | 1 148 092 |
Jan 17, 2019 | $36.80 | $36.85 | $36.58 | $36.60 | 791 813 |
Jan 16, 2019 | $36.85 | $36.92 | $36.69 | $36.86 | 801 440 |
Jan 15, 2019 | $36.50 | $37.15 | $36.50 | $36.86 | 845 865 |
Jan 14, 2019 | $36.73 | $36.98 | $36.56 | $36.86 | 1 133 908 |
Jan 11, 2019 | $36.73 | $37.00 | $36.68 | $36.79 | 1 196 355 |
Jan 10, 2019 | $36.55 | $36.83 | $36.49 | $36.73 | 1 922 435 |
Jan 09, 2019 | $36.51 | $36.60 | $36.36 | $36.59 | 2 234 708 |
Jan 08, 2019 | $36.57 | $36.64 | $36.46 | $36.50 | 1 793 164 |
Jan 07, 2019 | $36.40 | $36.81 | $36.40 | $36.72 | 3 001 266 |
Jan 04, 2019 | $36.50 | $36.55 | $36.26 | $36.50 | 2 108 436 |
Jan 03, 2019 | $36.61 | $36.70 | $36.17 | $36.50 | 2 046 634 |
Jan 02, 2019 | $36.30 | $36.84 | $36.22 | $36.84 | 2 798 226 |
Dec 31, 2018 | $36.37 | $36.50 | $36.21 | $36.40 | 1 796 775 |
Dec 28, 2018 | $36.10 | $36.50 | $36.08 | $36.45 | 4 130 814 |
Dec 27, 2018 | $36.05 | $36.20 | $36.00 | $36.13 | 6 899 165 |
Dec 26, 2018 | $36.00 | $36.14 | $35.91 | $36.06 | 12 705 031 |
Dec 24, 2018 | $36.31 | $36.44 | $35.83 | $35.83 | 7 923 506 |
Dec 21, 2018 | $22.89 | $23.61 | $21.61 | $21.72 | 1 174 648 |
Dec 20, 2018 | $23.71 | $24.05 | $22.31 | $22.76 | 1 132 949 |
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 MB stock historical prices to predict future price movements?
Trend Analysis: Examine the MB 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 MB 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.