NYSEARCA:MORL
Delisted
UBS ETRACS Mthly Py 2xLvg Mortg REIT ETN ETF Price (Quote)
$0.239
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.239 | $0.239 | Friday, 4th Sep 2020 MORL stock ended at $0.239. During the day the stock fluctuated 0% from a day low at $0.239 to a day high of $0.239. |
90 days | $0.239 | $0.239 | |
52 weeks | $0.230 | $15.85 |
Date | Open | High | Low | Close | Volume |
Feb 03, 2020 | $14.56 | $14.84 | $14.56 | $14.70 | 227 214 |
Jan 31, 2020 | $14.73 | $14.81 | $14.52 | $14.58 | 179 631 |
Jan 30, 2020 | $14.64 | $14.75 | $14.62 | $14.72 | 139 963 |
Jan 29, 2020 | $14.50 | $14.74 | $14.50 | $14.73 | 200 071 |
Jan 28, 2020 | $14.30 | $14.56 | $14.30 | $14.54 | 142 960 |
Jan 27, 2020 | $14.36 | $14.36 | $14.22 | $14.28 | 230 585 |
Jan 24, 2020 | $14.64 | $14.66 | $14.33 | $14.44 | 243 758 |
Jan 23, 2020 | $14.56 | $14.69 | $14.55 | $14.62 | 297 852 |
Jan 22, 2020 | $14.57 | $14.69 | $14.54 | $14.57 | 234 356 |
Jan 21, 2020 | $14.42 | $14.55 | $14.42 | $14.55 | 325 838 |
Jan 17, 2020 | $14.44 | $14.46 | $14.38 | $14.42 | 165 317 |
Jan 16, 2020 | $14.34 | $14.44 | $14.32 | $14.41 | 300 892 |
Jan 15, 2020 | $14.25 | $14.40 | $14.24 | $14.34 | 151 820 |
Jan 14, 2020 | $14.07 | $14.23 | $14.06 | $14.21 | 284 398 |
Jan 13, 2020 | $13.96 | $14.15 | $13.96 | $14.14 | 279 223 |
Jan 10, 2020 | $14.07 | $14.07 | $13.92 | $14.02 | 155 869 |
Jan 09, 2020 | $14.46 | $14.54 | $14.42 | $14.48 | 391 264 |
Jan 08, 2020 | $14.44 | $14.48 | $14.37 | $14.41 | 283 711 |
Jan 07, 2020 | $14.40 | $14.45 | $14.32 | $14.43 | 217 863 |
Jan 06, 2020 | $14.32 | $14.40 | $14.24 | $14.40 | 220 805 |
Jan 03, 2020 | $14.13 | $14.37 | $14.08 | $14.31 | 173 489 |
Jan 02, 2020 | $14.32 | $14.35 | $14.12 | $14.23 | 224 482 |
Dec 31, 2019 | $14.29 | $14.40 | $14.24 | $14.28 | 150 081 |
Dec 30, 2019 | $14.55 | $14.55 | $14.23 | $14.27 | 288 691 |
Dec 27, 2019 | $14.42 | $14.53 | $14.42 | $14.49 | 382 951 |
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 MORL stock historical prices to predict future price movements?
Trend Analysis: Examine the MORL 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 MORL 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.