XLON:MYN
Delisted
BlackRock MuniYield New York Insured Fnd Stock Price (Quote)
£0.140
+0 (+0%)
At Close: Sep 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.140 | £0.140 | Tuesday, 17th Sep 2019 MYN.L stock ended at £0.140. During the day the stock fluctuated 0% from a day low at £0.140 to a day high of £0.140. |
90 days | £0.140 | £0.140 | |
52 weeks | £0.0011 | £0.482 |
Date | Open | High | Low | Close | Volume |
Jul 18, 2017 | £0.275 | £0.275 | £0.265 | £0.265 | 6 208 761 |
Jul 17, 2017 | £0.320 | £0.385 | £0.265 | £0.275 | 71 066 146 |
Jul 14, 2017 | £0.275 | £0.320 | £0.250 | £0.320 | 20 798 001 |
Jul 13, 2017 | £0.275 | £0.275 | £0.235 | £0.275 | 27 085 240 |
Jul 12, 2017 | £0.275 | £0.275 | £0.250 | £0.275 | 137 257 |
Jul 11, 2017 | £0.275 | £0.275 | £0.275 | £0.275 | 7 666 666 |
Jul 10, 2017 | £0.275 | £0.275 | £0.275 | £0.275 | 67 103 |
Jul 07, 2017 | £0.275 | £0.275 | £0.275 | £0.275 | 217 438 |
Jul 06, 2017 | £0.275 | £0.275 | £0.275 | £0.275 | 0 |
Jul 05, 2017 | £0.275 | £0.275 | £0.250 | £0.275 | 6 851 789 |
Jul 04, 2017 | £0.275 | £0.275 | £0.275 | £0.275 | 794 787 |
Jul 03, 2017 | £0.275 | £0.275 | £0.275 | £0.275 | 188 679 |
Jun 30, 2017 | £0.275 | £0.275 | £0.275 | £0.275 | 8 522 797 |
Jun 29, 2017 | £0.275 | £0.275 | £0.250 | £0.275 | 790 000 |
Jun 28, 2017 | £0.275 | £0.275 | £0.275 | £0.275 | 15 570 471 |
Jun 27, 2017 | £0.275 | £0.300 | £0.250 | £0.275 | 48 800 290 |
Jun 26, 2017 | £0.575 | £0.575 | £0.475 | £0.475 | 1 845 416 |
Jun 23, 2017 | £0.700 | £0.700 | £0.575 | £0.575 | 2 415 202 |
Jun 22, 2017 | £0.750 | £0.750 | £0.700 | £0.725 | 884 584 |
Jun 21, 2017 | £0.750 | £0.750 | £0.750 | £0.750 | 263 000 |
Jun 20, 2017 | £0.80 | £0.80 | £0.725 | £0.750 | 774 628 |
Jun 19, 2017 | £0.88 | £0.88 | £0.80 | £0.80 | 267 000 |
Jun 16, 2017 | £0.88 | £0.88 | £0.88 | £0.88 | 0 |
Jun 15, 2017 | £0.88 | £0.88 | £0.80 | £0.88 | 97 664 |
Jun 14, 2017 | £1.03 | £1.03 | £0.85 | £0.88 | 3 353 544 |
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 MYN.L stock historical prices to predict future price movements?
Trend Analysis: Examine the MYN.L 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 MYN.L 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.