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XLON:SPD
Delisted

STANDARD PRODUCTS CO Stock Price (Quote)

£4.70
+0 (+0%)
At Close: Jan 06, 2020

Range Low Price High Price Comment
30 days £3.40 £4.86 Monday, 6th Jan 2020 SPD.L stock ended at £4.70. During the day the stock fluctuated 0% from a day low at £4.70 to a day high of £4.70.
90 days £2.69 £4.86
52 weeks £1.67 £282.00

Historical STANDARD PRODUCTS CO prices

Date Open High Low Close Volume
Nov 01, 2018 £3.27 £3.40 £3.27 £3.33 582 550
Oct 31, 2018 £3.23 £3.29 £3.22 £3.26 758 190
Oct 30, 2018 £3.11 £3.23 £3.11 £3.21 374 594
Oct 29, 2018 £3.14 £3.22 £3.14 £3.17 436 803
Oct 26, 2018 £3.17 £3.20 £3.12 £3.13 447 377
Oct 25, 2018 £3.11 £3.17 £3.10 £3.16 275 710
Oct 24, 2018 £3.16 £3.16 £3.11 £3.12 585 460
Oct 23, 2018 £3.10 £3.12 £3.09 £3.12 763 187
Oct 22, 2018 £3.16 £3.19 £3.15 £3.16 315 790
Oct 19, 2018 £3.13 £3.17 £3.13 £3.15 939 862
Oct 18, 2018 £3.12 £3.18 £3.12 £3.17 627 433
Oct 17, 2018 £3.15 £3.18 £3.12 £3.14 718 952
Oct 16, 2018 £3.13 £3.18 £3.11 £3.15 535 745
Oct 15, 2018 £3.14 £3.17 £3.09 £3.17 772 321
Oct 12, 2018 £3.10 £3.17 £3.10 £3.16 605 858
Oct 11, 2018 £3.13 £3.13 £3.05 £3.10 800 656
Oct 10, 2018 £3.16 £3.18 £3.15 £3.15 819 983
Oct 09, 2018 £3.15 £3.23 £3.12 £3.16 733 906
Oct 08, 2018 £3.26 £3.26 £3.16 £3.17 774 344
Oct 05, 2018 £3.27 £3.27 £3.23 £3.26 354 131
Oct 04, 2018 £3.27 £3.29 £3.23 £3.26 589 187
Oct 03, 2018 £3.30 £3.36 £3.28 £3.30 616 036
Oct 02, 2018 £3.32 £3.35 £3.31 £3.33 542 995
Oct 01, 2018 £3.49 £3.49 £3.34 £3.34 617 034
Sep 28, 2018 £3.43 £3.45 £3.40 £3.41 804 970

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 SPD.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SPD.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 SPD.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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