Range Low Price High Price Comment
30 days 100.00€ 114.00€ Friday, 24th May 2024 SOLV.BB stock ended at 111.00€. During the day the stock fluctuated 0% from a day low at 111.00€ to a day high of 111.00€.
90 days 100.00€ 114.00€
52 weeks 100.00€ 130.00€

Historical SOLVAC S.A. prices

Date Open High Low Close Volume
Dec 15, 2021 107.00€ 108.00€ 106.50€ 108.00€ 342
Dec 14, 2021 111.50€ 111.50€ 109.50€ 110.00€ 679
Dec 13, 2021 111.50€ 112.00€ 110.00€ 111.00€ 982
Dec 10, 2021 110.50€ 112.00€ 110.50€ 111.00€ 77
Dec 09, 2021 111.00€ 112.50€ 110.50€ 110.50€ 14
Dec 08, 2021 113.00€ 113.00€ 110.00€ 110.00€ 623
Dec 07, 2021 112.00€ 112.00€ 112.00€ 112.00€ 0
Dec 06, 2021 111.00€ 112.00€ 110.00€ 112.00€ 774
Dec 03, 2021 112.00€ 112.50€ 110.50€ 110.50€ 289
Dec 02, 2021 110.50€ 112.00€ 109.50€ 112.00€ 132
Dec 01, 2021 110.50€ 112.00€ 108.50€ 110.50€ 1 939
Nov 30, 2021 111.00€ 111.00€ 109.00€ 111.00€ 799
Nov 29, 2021 111.50€ 112.50€ 111.00€ 112.00€ 398
Nov 26, 2021 113.00€ 113.00€ 110.00€ 111.00€ 2 661
Nov 25, 2021 113.50€ 114.50€ 112.50€ 112.50€ 217
Nov 24, 2021 113.00€ 114.50€ 113.00€ 113.00€ 358
Nov 23, 2021 113.50€ 114.00€ 113.00€ 113.00€ 49
Nov 22, 2021 115.00€ 115.00€ 113.50€ 113.50€ 626
Nov 19, 2021 116.50€ 116.50€ 114.50€ 114.50€ 211
Nov 18, 2021 116.50€ 116.50€ 116.00€ 116.00€ 174
Nov 17, 2021 117.00€ 117.50€ 116.00€ 116.00€ 231

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 SOLV.BB stock historical prices to predict future price movements?
Trend Analysis: Examine the SOLV.BB 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 SOLV.BB 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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