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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

Historical Snam S.p.A. prices

Date Open High Low Close Volume
Feb 08, 2019 £4.07 £4.07 £3.87 £4.07 168 057
Feb 07, 2019 £4.13 £4.13 £3.93 £4.09 207 333
Feb 06, 2019 £4.15 £4.15 £3.94 £4.15 89 302
Feb 05, 2019 £4.12 £4.13 £3.92 £4.13 601 776
Feb 04, 2019 £4.08 £4.09 £3.88 £4.08 152 692
Feb 01, 2019 £4.17 £4.17 £3.96 £4.08 2 511 568
Jan 31, 2019 £4.20 £4.20 £3.99 £4.15 760 041
Jan 30, 2019 £4.19 £4.19 £3.98 £4.18 289 421
Jan 29, 2019 £4.11 £4.17 £3.91 £4.17 281 949
Jan 28, 2019 £4.07 £4.08 £3.87 £4.08 6 142 739
Jan 25, 2019 £4.09 £4.09 £3.88 £4.09 172 317
Jan 24, 2019 £4.07 £4.07 £3.86 £4.06 3 790 169
Jan 23, 2019 £4.06 £4.06 £3.86 £4.06 3 752 099
Jan 22, 2019 £4.05 £4.05 £4.05 £4.05 0
Jan 21, 2019 £4.06 £4.06 £3.86 £4.05 322 867
Jan 18, 2019 £4.14 £4.14 £3.93 £4.13 10 139 864
Jan 17, 2019 £4.11 £4.11 £3.90 £4.11 8 997 582
Jan 16, 2019 £4.14 £4.14 £3.94 £4.13 3 515 360
Jan 15, 2019 £4.14 £4.14 £3.94 £4.14 12 892 658
Jan 14, 2019 £4.08 £4.14 £3.88 £4.14 15 962 468
Jan 11, 2019 £4.12 £4.13 £3.92 £4.08 1 751 453
Jan 10, 2019 £4.05 £4.09 £3.85 £4.09 604 233
Jan 09, 2019 £4.06 £4.06 £3.86 £4.05 1 419 585
Jan 08, 2019 £4.04 £4.04 £3.84 £4.04 818 267
Jan 07, 2019 £4.06 £4.06 £3.86 £4.03 136 756

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 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.

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 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.
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