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Range Low Price High Price Comment
30 days £74.85 £74.85 Thursday, 8th Aug 2019 0HAS.L stock ended at £74.85. During the day the stock fluctuated 0% from a day low at £74.85 to a day high of £74.85.
90 days £68.72 £76.60
52 weeks £59.00 £76.60

Historical Danone prices

Date Open High Low Close Volume
Nov 28, 2018 £65.54 £66.66 £64.51 £65.24 79 564
Nov 27, 2018 £64.51 £66.69 £64.51 £66.54 150 267
Nov 26, 2018 £66.35 £67.46 £65.43 £65.88 49 910
Nov 23, 2018 £65.42 £66.60 £64.62 £65.96 38 286
Nov 22, 2018 £65.24 £66.55 £64.35 £65.33 25 303
Nov 21, 2018 £64.92 £66.25 £64.34 £65.58 48 947
Nov 20, 2018 £64.71 £65.90 £63.86 £65.09 94 575
Nov 19, 2018 £65.00 £66.38 £64.43 £64.59 119 923
Nov 16, 2018 £66.00 £66.47 £63.76 £64.91 127 822
Nov 15, 2018 £65.60 £66.92 £64.44 £65.10 284 087
Nov 14, 2018 £67.00 £68.00 £65.12 £65.34 134 312
Nov 13, 2018 £67.71 £68.34 £65.69 £66.53 130 541
Nov 12, 2018 £66.92 £67.74 £65.17 £66.07 436 374
Nov 09, 2018 £65.25 £65.71 £62.91 £65.43 407 653
Nov 08, 2018 £63.93 £64.75 £62.38 £63.44 62 872
Nov 07, 2018 £61.56 £64.30 £61.56 £62.97 359 063
Nov 06, 2018 £63.49 £64.69 £62.62 £62.90 183 051
Nov 05, 2018 £64.00 £64.76 £62.32 £63.46 76 767
Nov 02, 2018 £63.93 £64.87 £62.62 £62.96 76 740
Nov 01, 2018 £61.55 £63.55 £61.55 £62.78 174 381
Oct 31, 2018 £63.52 £63.79 £61.78 £62.57 447 675
Oct 30, 2018 £62.60 £63.51 £61.29 £62.32 170 049
Oct 29, 2018 £62.39 £63.98 £59.66 £61.85 287 587
Oct 26, 2018 £62.99 £64.22 £61.33 £62.11 44 524
Oct 25, 2018 £62.85 £64.19 £62.39 £63.41 68 851

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 0HAS.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0HAS.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 0HAS.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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