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XLON:MUR
Delisted

Murgitroyd Group PLC Stock Price (Quote)

£6.70
+0 (+0%)
At Close: Jan 06, 2020

Range Low Price High Price Comment
30 days £6.65 £6.74 Monday, 6th Jan 2020 MUR.L stock ended at £6.70. During the day the stock fluctuated 0% from a day low at £6.70 to a day high of £6.70.
90 days £6.05 £7.00
52 weeks £4.40 £484.00

Historical Murgitroyd Group PLC prices

Date Open High Low Close Volume
Sep 18, 2019 £5.70 £5.75 £5.50 £5.63 2 625
Sep 17, 2019 £5.20 £5.85 £4.96 £5.70 14 084
Sep 16, 2019 £4.96 £5.00 £4.92 £4.96 1 728
Sep 13, 2019 £5.18 £5.00 £4.92 £4.96 6 541
Sep 12, 2019 £5.18 £5.25 £5.00 £5.18 7 661
Sep 11, 2019 £5.18 £5.29 £5.29 £5.18 125
Sep 10, 2019 £5.06 £5.29 £5.05 £5.18 7 436
Sep 09, 2019 £5.06 £5.08 £4.92 £5.06 5 475
Sep 06, 2019 £5.01 £5.08 £5.05 £5.06 588
Sep 05, 2019 £5.38 £5.30 £4.96 £5.01 7 752
Sep 04, 2019 £5.45 £5.50 £5.30 £5.38 1 860
Sep 03, 2019 £5.45 £5.55 £5.45 £5.45 1 008
Sep 02, 2019 £5.60 £5.60 £5.60 £5.60 0
Aug 30, 2019 £5.40 £5.35 £5.35 £5.40 412
Aug 29, 2019 £5.40 £5.46 £5.46 £5.40 94
Aug 28, 2019 £5.55 £5.50 £5.32 £5.40 1 591
Aug 27, 2019 £5.60 £5.59 £5.52 £5.55 5 540
Aug 26, 2019 £5.60 £5.60 £5.60 £5.60 0
Aug 23, 2019 £5.60 £5.70 £5.67 £5.60 202
Aug 22, 2019 £5.60 £5.60 £5.60 £5.60 13 560
Aug 21, 2019 £5.60 £5.60 £5.60 £5.60 0
Aug 20, 2019 £5.65 £5.70 £5.55 £5.60 3 251
Aug 19, 2019 £5.75 £5.65 £5.60 £5.65 6 370
Aug 16, 2019 £5.85 £5.90 £5.80 £5.75 1 863
Aug 15, 2019 £5.90 £5.90 £5.90 £5.85 330

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.

How can I use MUR.L stock historical prices to predict future price movements?
Trend Analysis: Examine the MUR.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.

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.

Why do the MUR.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.
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