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 |
Nov 21, 2017 | $22.74 | $23.29 | $22.65 | $23.01 | 3 195 887 |
Nov 20, 2017 | $22.45 | $22.69 | $22.20 | $22.60 | 1 568 503 |
Nov 17, 2017 | $22.34 | $22.85 | $22.20 | $22.49 | 1 546 176 |
Nov 16, 2017 | $22.00 | $22.36 | $21.56 | $22.33 | 2 347 159 |
Nov 15, 2017 | $22.77 | $22.99 | $22.02 | $22.14 | 1 230 867 |
Nov 14, 2017 | $23.10 | $23.17 | $22.61 | $22.99 | 1 858 185 |
Nov 13, 2017 | $23.52 | $23.69 | $23.12 | $23.40 | 727 289 |
Nov 10, 2017 | $23.20 | $23.74 | $23.08 | $23.73 | 756 724 |
Nov 09, 2017 | $22.90 | $23.19 | $22.85 | $23.19 | 832 187 |
Nov 08, 2017 | $23.00 | $23.38 | $22.95 | $23.05 | 952 525 |
Nov 07, 2017 | $23.36 | $23.46 | $22.97 | $23.08 | 925 981 |
Nov 06, 2017 | $23.19 | $23.76 | $23.12 | $23.49 | 624 215 |
Nov 03, 2017 | $23.49 | $23.53 | $22.91 | $23.50 | 963 040 |
Nov 02, 2017 | $23.18 | $23.79 | $22.86 | $23.68 | 1 288 102 |
Nov 01, 2017 | $23.55 | $23.69 | $23.18 | $23.38 | 1 234 028 |
Oct 31, 2017 | $23.20 | $23.55 | $22.97 | $23.39 | 1 430 538 |
Oct 30, 2017 | $23.31 | $23.95 | $22.83 | $23.63 | 2 347 890 |
Oct 27, 2017 | $26.10 | $26.66 | $23.77 | $23.98 | 4 237 793 |
Oct 26, 2017 | $23.92 | $24.19 | $23.57 | $23.88 | 1 724 459 |
Oct 25, 2017 | $23.75 | $23.85 | $23.35 | $23.60 | 1 438 661 |
Oct 24, 2017 | $24.00 | $24.15 | $23.39 | $23.75 | 818 174 |
Oct 23, 2017 | $23.97 | $24.34 | $23.45 | $23.74 | 1 878 309 |
Oct 20, 2017 | $23.16 | $23.77 | $23.02 | $23.17 | 756 401 |
Oct 19, 2017 | $22.70 | $23.12 | $22.43 | $22.95 | 442 161 |
Oct 18, 2017 | $22.33 | $22.84 | $22.28 | $22.73 | 505 682 |
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.