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XLON:HYNS
Delisted

Haynes Publishing Group P.L.C. Stock Price (Quote)

£6.85
+0 (+0%)
At Close: Apr 21, 2020

Range Low Price High Price Comment
30 days £6.70 £6.85 Tuesday, 21st Apr 2020 HYNS.L stock ended at £6.85. During the day the stock fluctuated 0% from a day low at £6.85 to a day high of £6.85.
90 days £4.09 £7.00
52 weeks £1.91 £7.00

Historical Haynes Publishing Group P.L.C. prices

Date Open High Low Close Volume
Nov 26, 2019 £4.24 £4.18 £3.83 £4.02 69 831
Nov 25, 2019 £4.24 £4.18 £4.18 £4.24 410
Nov 22, 2019 £4.24 £4.26 £4.18 £4.24 16 784
Nov 21, 2019 £4.23 £4.26 £4.21 £4.24 10 744
Nov 20, 2019 £4.30 £4.34 £4.21 £4.23 9 831
Nov 19, 2019 £4.29 £4.39 £4.16 £4.30 18 130
Nov 18, 2019 £4.25 £4.31 £4.18 £4.29 11 803
Nov 15, 2019 £4.05 £4.55 £4.02 £4.25 34 132
Nov 14, 2019 £4.05 £4.07 £4.02 £4.05 6 186
Nov 13, 2019 £4.05 £4.05 £4.00 £4.05 2 569
Nov 12, 2019 £4.15 £4.16 £3.90 £4.05 13 491
Nov 11, 2019 £4.13 £4.20 £4.07 £4.15 4 514
Nov 08, 2019 £4.17 £4.20 £4.00 £4.13 8 963
Nov 07, 2019 £3.70 £4.00 £3.76 £4.13 6 947
Nov 06, 2019 £3.70 £3.80 £3.76 £3.70 3 330
Nov 05, 2019 £3.76 £3.78 £3.56 £3.70 183 415
Nov 04, 2019 £3.63 £3.92 £3.68 £3.76 18 442
Nov 01, 2019 £3.66 £3.69 £3.59 £3.63 5 918
Oct 31, 2019 £3.67 £3.70 £3.65 £3.66 3 565
Oct 30, 2019 £3.69 £3.72 £3.65 £3.67 6 815
Oct 29, 2019 £3.50 £3.77 £3.56 £3.69 16 722
Oct 28, 2019 £3.34 £3.54 £3.37 £3.50 6 986
Oct 25, 2019 £3.26 £3.38 £3.30 £3.34 4 397
Oct 24, 2019 £3.26 £3.26 £3.26 £3.26 0
Oct 23, 2019 £3.26 £3.29 £3.29 £3.26 2 754

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