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Range Low Price High Price Comment
30 days £1.62 £2.60 Tuesday, 26th May 2020 GAN.L stock ended at £2.25. During the day the stock fluctuated 0% from a day low at £2.25 to a day high of £2.25.
90 days £0.580 £2.60
52 weeks £0.560 £2.60

Historical GAN plc prices

Date Open High Low Close Volume
Oct 22, 2019 £1.16 £1.20 £1.15 £1.18 367 396
Oct 21, 2019 £1.10 £1.17 £1.10 £1.16 815 063
Oct 18, 2019 £1.08 £1.21 £1.00 £1.11 2 214 461
Oct 17, 2019 £0.94 £1.06 £0.95 £1.06 1 427 130
Oct 16, 2019 £0.91 £0.98 £0.89 £0.95 1 437 073
Oct 15, 2019 £0.87 £0.92 £0.88 £0.89 235 226
Oct 14, 2019 £0.83 £0.88 £0.83 £0.86 383 152
Oct 11, 2019 £0.80 £0.84 £0.81 £0.84 409 820
Oct 10, 2019 £0.780 £0.81 £0.772 £0.80 372 719
Oct 09, 2019 £0.785 £0.785 £0.773 £0.780 29 828
Oct 08, 2019 £0.775 £0.780 £0.770 £0.780 103 692
Oct 07, 2019 £0.775 £0.790 £0.751 £0.778 403 944
Oct 04, 2019 £0.745 £0.784 £0.741 £0.770 730 391
Oct 03, 2019 £0.770 £0.780 £0.740 £0.745 95 470
Oct 02, 2019 £0.785 £0.795 £0.756 £0.770 300 531
Oct 01, 2019 £0.770 £0.81 £0.755 £0.792 732 253
Sep 30, 2019 £0.81 £0.80 £0.730 £0.740 404 913
Sep 27, 2019 £0.85 £0.85 £0.775 £0.80 505 925
Sep 26, 2019 £0.85 £0.85 £0.83 £0.85 104 305
Sep 25, 2019 £0.90 £0.90 £0.82 £0.86 420 417
Sep 24, 2019 £0.91 £0.94 £0.88 £0.90 226 879
Sep 23, 2019 £0.91 £0.92 £0.88 £0.91 235 109
Sep 20, 2019 £0.85 £0.94 £0.84 £0.90 744 981
Sep 19, 2019 £0.86 £0.87 £0.84 £0.85 318 418
Sep 18, 2019 £0.91 £0.91 £0.85 £0.87 145 805

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