XLON:0G4M
Delisted
Snam S.p.A. Stock Price (Quote)
£4.44
+0 (+0%)
At Close: Aug 08, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £4.44 | £4.44 | Thursday, 8th Aug 2019 0G4M.L stock ended at £4.44. During the day the stock fluctuated 0% from a day low at £4.44 to a day high of £4.44. |
90 days | £4.15 | £4.83 | |
52 weeks | £3.35 | £4.83 |
Date | Open | High | Low | Close | Volume |
Nov 28, 2018 | £3.86 | £3.87 | £3.67 | £3.83 | 618 850 |
Nov 27, 2018 | £3.85 | £3.86 | £3.66 | £3.86 | 36 080 |
Nov 26, 2018 | £3.86 | £3.92 | £3.66 | £3.88 | 25 800 |
Nov 23, 2018 | £3.85 | £3.85 | £3.65 | £3.84 | 411 |
Nov 22, 2018 | £3.85 | £3.88 | £3.65 | £3.88 | 36 415 |
Nov 21, 2018 | £3.87 | £3.87 | £3.67 | £3.86 | 335 512 |
Nov 20, 2018 | £3.88 | £3.88 | £3.69 | £3.88 | 1 250 221 |
Nov 19, 2018 | £3.90 | £3.90 | £3.70 | £3.90 | 263 479 |
Nov 16, 2018 | £3.86 | £3.91 | £3.67 | £3.91 | 496 301 |
Nov 15, 2018 | £3.88 | £3.89 | £3.69 | £3.85 | 74 753 |
Nov 14, 2018 | £3.88 | £3.88 | £3.68 | £3.88 | 420 920 |
Nov 13, 2018 | £3.90 | £3.90 | £3.70 | £3.90 | 160 814 |
Nov 12, 2018 | £3.89 | £3.89 | £3.69 | £3.88 | 497 192 |
Nov 09, 2018 | £3.84 | £3.89 | £3.65 | £3.89 | 575 079 |
Nov 08, 2018 | £3.84 | £3.84 | £3.65 | £3.83 | 333 443 |
Nov 07, 2018 | £3.76 | £3.82 | £3.57 | £3.82 | 1 433 713 |
Nov 06, 2018 | £3.71 | £3.71 | £3.53 | £3.71 | 1 109 579 |
Nov 05, 2018 | £3.68 | £3.68 | £3.50 | £3.68 | 275 364 |
Nov 02, 2018 | £3.67 | £3.67 | £3.49 | £3.66 | 1 382 110 |
Nov 01, 2018 | £3.65 | £3.65 | £3.47 | £3.65 | 556 308 |
Oct 31, 2018 | £3.71 | £3.71 | £3.53 | £3.63 | 514 222 |
Oct 30, 2018 | £3.66 | £3.68 | £3.48 | £3.68 | 706 837 |
Oct 29, 2018 | £3.64 | £3.68 | £3.46 | £3.64 | 497 553 |
Oct 26, 2018 | £3.63 | £3.63 | £3.45 | £3.62 | 467 145 |
Oct 25, 2018 | £3.59 | £3.63 | £3.41 | £3.63 | 305 535 |
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.
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 0G4M.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0G4M.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.
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.
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 0G4M.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.