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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
Jul 04, 2019 £4.44 £4.44 £4.44 £4.44 0
Jul 03, 2019 £4.44 £4.44 £4.44 £4.44 0
Jul 02, 2019 £4.36 £4.44 £4.15 £4.44 4 038 154
Jul 01, 2019 £4.41 £4.41 £4.19 £4.36 3 104 676
Jun 28, 2019 £4.46 £4.46 £4.23 £4.40 1 296 451
Jun 27, 2019 £4.55 £4.55 £4.32 £4.48 224 204
Jun 26, 2019 £4.61 £4.61 £4.38 £4.54 198 935
Jun 25, 2019 £4.65 £4.65 £4.41 £4.62 1 205 559
Jun 24, 2019 £4.68 £4.68 £4.45 £4.63 398 532
Jun 21, 2019 £4.80 £4.82 £4.56 £4.82 2 885 734
Jun 20, 2019 £4.83 £4.83 £4.59 £4.82 377 579
Jun 19, 2019 £4.82 £4.82 £4.58 £4.81 260 038
Jun 18, 2019 £4.70 £4.82 £4.47 £4.82 962 583
Jun 17, 2019 £4.71 £4.72 £4.48 £4.70 403 229
Jun 14, 2019 £4.71 £4.71 £4.47 £4.70 327 073
Jun 13, 2019 £4.71 £4.71 £4.48 £4.71 1 196 890
Jun 12, 2019 £4.70 £4.70 £4.47 £4.70 637 341
Jun 11, 2019 £4.70 £4.70 £4.46 £4.69 583 831
Jun 10, 2019 £4.72 £4.73 £4.49 £4.73 4 231
Jun 07, 2019 £4.64 £4.71 £4.41 £4.71 496 154
Jun 06, 2019 £4.60 £4.66 £4.37 £4.66 1 191 736
Jun 05, 2019 £4.59 £4.59 £4.37 £4.58 1 244 986
Jun 04, 2019 £4.55 £4.57 £4.32 £4.57 681 534
Jun 03, 2019 £4.49 £4.53 £4.27 £4.53 13 520
May 31, 2019 £4.48 £4.51 £4.26 £4.51 251 406

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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