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Range Low Price High Price Comment
30 days 2.52€ 2.96€ Friday, 14th Jun 2024 BNN.DE stock ended at 2.72€. This is 3.42% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 7.94% from a day low at 2.52€ to a day high of 2.72€.
90 days 2.51€ 3.94€
52 weeks 2.51€ 4.80€

Historical B.R.A.I.N. Biotechnology Research and Information Network AG prices

Date Open High Low Close Volume
Jun 14, 2024 2.62€ 2.72€ 2.52€ 2.72€ 24 000
Jun 13, 2024 2.70€ 2.78€ 2.63€ 2.63€ 5 251
Jun 12, 2024 2.78€ 2.78€ 2.70€ 2.74€ 10 032
Jun 11, 2024 2.80€ 2.80€ 2.75€ 2.77€ 19 507
Jun 10, 2024 2.80€ 2.80€ 2.78€ 2.78€ 1 179
Jun 07, 2024 2.78€ 2.79€ 2.74€ 2.77€ 2 514
Jun 06, 2024 2.79€ 2.80€ 2.77€ 2.79€ 3 038
Jun 05, 2024 2.84€ 2.84€ 2.77€ 2.77€ 11 313
Jun 04, 2024 2.83€ 2.93€ 2.82€ 2.86€ 5 927
Jun 03, 2024 2.83€ 2.85€ 2.80€ 2.82€ 8 118
May 31, 2024 2.90€ 2.90€ 2.80€ 2.80€ 6 312
May 30, 2024 2.76€ 2.94€ 2.76€ 2.85€ 34 546
May 29, 2024 2.76€ 2.96€ 2.76€ 2.90€ 30 324
May 28, 2024 2.76€ 2.94€ 2.76€ 2.82€ 27 239
May 27, 2024 2.76€ 2.84€ 2.72€ 2.77€ 8 037
May 24, 2024 2.76€ 2.76€ 2.76€ 2.76€ 18 454
May 23, 2024 2.81€ 2.81€ 2.65€ 2.73€ 18 454
May 22, 2024 2.82€ 2.82€ 2.74€ 2.74€ 11 014
May 21, 2024 2.80€ 2.90€ 2.74€ 2.74€ 18 962
May 20, 2024 2.89€ 2.89€ 2.68€ 2.81€ 423
May 17, 2024 2.86€ 2.86€ 2.75€ 2.75€ 10 538
May 16, 2024 2.89€ 2.90€ 2.70€ 2.77€ 45 899
May 15, 2024 2.87€ 2.89€ 2.79€ 2.89€ 19 047
May 14, 2024 2.80€ 2.84€ 2.76€ 2.77€ 43 196
May 13, 2024 2.79€ 2.79€ 2.68€ 2.75€ 5 684

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 BNN.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the BNN.DE 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 BNN.DE 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 B.R.A.I.N. Biotechnology Research and Information Network AG

B.R.A.I.N. Biotechnology Research and Information Network AG BRAIN Biotech AG researches, develops, produces, and markets enzymes, biocatalysts, microorganisms, and bioactive natural substances for chemical industries in Germany, the United States, France, the Netherlands, and the United Kingdom. The company operates in two segments, BioScience and BioIndustrial. It identifies and develops bioactive natural compounds, including sugar substitutes and taste modulators, and nature-based active ingredients for... BNN.DE Profile

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