Range Low Price High Price Comment
30 days 56.40€ 57.80€ Friday, 24th May 2024 SIP.BB stock ended at 57.00€. During the day the stock fluctuated 0% from a day low at 57.00€ to a day high of 57.00€.
90 days 50.10€ 57.80€
52 weeks 48.40€ 60.50€

Historical SIPEF group prices

Date Open High Low Close Volume
Oct 19, 2023 53.90€ 53.90€ 52.80€ 53.00€ 2 831
Oct 18, 2023 53.20€ 53.50€ 53.10€ 53.40€ 874
Oct 17, 2023 53.70€ 53.80€ 53.20€ 53.30€ 265
Oct 16, 2023 52.90€ 53.80€ 52.90€ 53.80€ 328
Oct 13, 2023 53.00€ 53.00€ 52.40€ 53.00€ 2 351
Oct 12, 2023 53.20€ 53.20€ 52.60€ 53.00€ 2 420
Oct 11, 2023 53.00€ 53.00€ 52.70€ 52.80€ 236
Oct 10, 2023 53.00€ 53.00€ 52.70€ 52.90€ 549
Oct 09, 2023 53.70€ 53.80€ 53.00€ 53.00€ 2 588
Oct 06, 2023 53.40€ 54.00€ 53.20€ 53.70€ 709
Oct 05, 2023 54.00€ 54.00€ 53.00€ 53.10€ 1 811
Oct 04, 2023 54.30€ 54.30€ 53.40€ 53.40€ 598
Oct 03, 2023 54.00€ 54.60€ 53.90€ 53.90€ 790
Oct 02, 2023 53.50€ 55.00€ 53.50€ 54.20€ 2 765
Sep 29, 2023 53.00€ 53.10€ 52.50€ 52.60€ 836
Sep 28, 2023 52.40€ 53.10€ 52.40€ 53.10€ 470
Sep 27, 2023 52.80€ 52.80€ 52.10€ 52.50€ 1 436
Sep 26, 2023 53.10€ 53.10€ 52.20€ 52.20€ 4 469
Sep 25, 2023 53.50€ 53.50€ 53.10€ 53.20€ 1 109
Sep 22, 2023 53.80€ 54.00€ 53.40€ 53.40€ 1 502
Sep 21, 2023 53.50€ 53.50€ 53.40€ 53.50€ 1 144
Sep 20, 2023 53.80€ 53.80€ 53.50€ 53.50€ 1 163
Sep 19, 2023 53.50€ 54.00€ 53.50€ 53.50€ 666
Sep 18, 2023 53.60€ 53.70€ 53.50€ 53.50€ 285
Sep 15, 2023 53.10€ 54.00€ 53.10€ 53.80€ 1 548

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