NYSE:MULE
Delisted
MuleSoft Inc. Class A Fund Price (Quote)
$44.57
+0 (+0%)
At Close: Jul 22, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $44.57 | $44.57 | Monday, 22nd Jul 2019 MULE stock ended at $44.57. During the day the stock fluctuated 0% from a day low at $44.57 to a day high of $44.57. |
90 days | $44.57 | $44.57 | |
52 weeks | $44.57 | $44.57 |
Date | Open | High | Low | Close | Volume |
Feb 05, 2018 | $24.04 | $24.52 | $21.70 | $23.46 | 1 471 580 |
Feb 02, 2018 | $24.43 | $24.53 | $24.10 | $24.26 | 814 248 |
Feb 01, 2018 | $24.45 | $24.73 | $23.82 | $24.67 | 580 922 |
Jan 31, 2018 | $24.76 | $25.00 | $24.56 | $24.58 | 567 743 |
Jan 30, 2018 | $24.82 | $24.93 | $24.55 | $24.61 | 582 414 |
Jan 29, 2018 | $25.35 | $25.52 | $24.90 | $25.03 | 678 084 |
Jan 26, 2018 | $25.02 | $25.34 | $24.90 | $25.34 | 583 753 |
Jan 25, 2018 | $25.14 | $25.18 | $24.79 | $24.88 | 462 452 |
Jan 24, 2018 | $25.00 | $25.91 | $24.02 | $24.98 | 2 186 640 |
Jan 23, 2018 | $25.40 | $25.78 | $24.99 | $25.08 | 985 417 |
Jan 22, 2018 | $25.20 | $25.51 | $25.10 | $25.39 | 864 790 |
Jan 19, 2018 | $24.80 | $25.24 | $24.79 | $25.20 | 1 022 024 |
Jan 18, 2018 | $24.53 | $24.95 | $24.40 | $24.78 | 1 273 541 |
Jan 17, 2018 | $24.20 | $24.64 | $23.97 | $24.32 | 580 857 |
Jan 16, 2018 | $24.57 | $24.60 | $24.08 | $24.11 | 607 675 |
Jan 12, 2018 | $24.68 | $24.68 | $24.15 | $24.40 | 534 155 |
Jan 11, 2018 | $24.36 | $24.77 | $24.19 | $24.69 | 570 965 |
Jan 10, 2018 | $24.15 | $24.47 | $23.77 | $24.23 | 2 741 328 |
Jan 09, 2018 | $25.37 | $25.45 | $24.65 | $24.92 | 986 088 |
Jan 08, 2018 | $25.31 | $25.45 | $25.05 | $25.17 | 941 860 |
Jan 05, 2018 | $24.65 | $25.04 | $24.40 | $24.80 | 1 582 855 |
Jan 04, 2018 | $24.90 | $25.07 | $24.50 | $24.60 | 1 018 165 |
Jan 03, 2018 | $23.90 | $24.82 | $23.87 | $24.75 | 2 149 836 |
Jan 02, 2018 | $23.37 | $23.75 | $23.07 | $23.67 | 1 387 427 |
Dec 29, 2017 | $23.35 | $23.48 | $23.04 | $23.26 | 887 827 |
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 MULE stock historical prices to predict future price movements?
Trend Analysis: Examine the MULE 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 MULE 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.