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XLON:0I98
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Unione Di Banche Italiane Stock Price (Quote)

£2.32
+0 (+0%)
At Close: Aug 08, 2019

Range Low Price High Price Comment
30 days £2.32 £2.32 Thursday, 8th Aug 2019 0I98.L stock ended at £2.32. During the day the stock fluctuated 0% from a day low at £2.32 to a day high of £2.32.
90 days £2.16 £2.69
52 weeks £2.06 £3.85

Historical Unione Di Banche Italiane prices

Date Open High Low Close Volume
May 30, 2019 £2.31 £2.34 £2.26 £2.31 620 628
May 29, 2019 £2.30 £2.31 £2.19 £2.31 466 998
May 28, 2019 £2.36 £2.36 £2.27 £2.32 805 618
May 24, 2019 £2.31 £2.39 £2.21 £2.39 954 009
May 23, 2019 £2.38 £2.38 £2.26 £2.32 763 247
May 22, 2019 £2.44 £2.44 £2.30 £2.35 1 111 756
May 21, 2019 £2.47 £2.47 £2.36 £2.40 1 074 343
May 20, 2019 £2.60 £2.60 £2.45 £2.45 725 484
May 17, 2019 £2.52 £2.60 £2.47 £2.56 1 726 157
May 16, 2019 £2.52 £2.59 £2.40 £2.59 3 060 998
May 15, 2019 £2.58 £2.58 £2.47 £2.53 1 539 436
May 14, 2019 £2.58 £2.60 £2.47 £2.57 1 414 942
May 13, 2019 £2.67 £2.67 £2.56 £2.56 823 197
May 10, 2019 £2.64 £2.69 £2.53 £2.64 568 631
May 09, 2019 £2.64 £2.68 £2.55 £2.62 977 085
May 08, 2019 £2.66 £2.69 £2.55 £2.69 1 758 063
May 07, 2019 £2.71 £2.71 £2.62 £2.62 1 052 351
May 03, 2019 £2.77 £2.77 £2.64 £2.73 558 897
May 02, 2019 £2.78 £2.80 £2.64 £2.77 830 400
May 01, 2019 £2.78 £2.78 £2.78 £2.78 0
Apr 30, 2019 £2.79 £2.82 £2.65 £2.78 504 742
Apr 29, 2019 £2.73 £2.77 £2.60 £2.77 539 632
Apr 26, 2019 £2.72 £2.72 £2.61 £2.71 462 011
Apr 25, 2019 £2.72 £2.72 £2.61 £2.69 228 830
Apr 24, 2019 £2.82 £2.82 £2.70 £2.70 646 497

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 0I98.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0I98.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 0I98.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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About Unione Di Banche Italiane

Unione Di Banche Italiane REC Silicon ASA, together with its subsidiaries, produces and sells silicon materials for the solar and electronics industries worldwide. It offers various solar grade polysilicon for solar applications, including granular polysilicon, Siemens rod sections, chunks, chips, and fines. The company also provides electronic grade polysilicon comprising TearDrop, as-grown Siemens rods, rod sections, chunks, and chips for use in Czochralski monocrystall... 0I98.L Profile

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