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Range Low Price High Price Comment
30 days 0.670€ 0.98€ Tuesday, 25th Jun 2024 ALESA.PA stock ended at 0.670€. This is 5.10% less than the trading day before Monday, 24th Jun 2024. During the day the stock fluctuated 5.97% from a day low at 0.670€ to a day high of 0.710€.
90 days 0.650€ 0.98€
52 weeks 0.502€ 5.44€

Historical Ecoslops S.A. prices

Date Open High Low Close Volume
Jun 25, 2024 0.706€ 0.710€ 0.670€ 0.670€ 2 885
Jun 24, 2024 0.736€ 0.736€ 0.706€ 0.706€ 390
Jun 21, 2024 0.736€ 0.736€ 0.720€ 0.720€ 1 611
Jun 20, 2024 0.738€ 0.740€ 0.736€ 0.736€ 347
Jun 19, 2024 0.760€ 0.760€ 0.738€ 0.738€ 2 536
Jun 18, 2024 0.760€ 0.762€ 0.760€ 0.762€ 1 824
Jun 17, 2024 0.81€ 0.81€ 0.760€ 0.762€ 7 293
Jun 14, 2024 0.91€ 0.91€ 0.81€ 0.81€ 9 416
Jun 13, 2024 0.91€ 0.91€ 0.91€ 0.91€ 474
Jun 12, 2024 0.91€ 0.91€ 0.90€ 0.91€ 2 689
Jun 11, 2024 0.98€ 0.98€ 0.93€ 0.93€ 700
Jun 10, 2024 0.92€ 0.98€ 0.87€ 0.98€ 14 977
Jun 07, 2024 0.86€ 0.92€ 0.86€ 0.91€ 5 548
Jun 06, 2024 0.85€ 0.87€ 0.85€ 0.86€ 1 910
Jun 05, 2024 0.82€ 0.85€ 0.81€ 0.85€ 2 640
Jun 04, 2024 0.84€ 0.84€ 0.82€ 0.82€ 691
Jun 03, 2024 0.792€ 0.84€ 0.760€ 0.84€ 1 337
May 31, 2024 0.81€ 0.82€ 0.780€ 0.792€ 3 090
May 30, 2024 0.80€ 0.88€ 0.772€ 0.81€ 9 457
May 29, 2024 0.790€ 0.80€ 0.780€ 0.80€ 1 036
May 28, 2024 0.770€ 0.790€ 0.770€ 0.790€ 1 530
May 27, 2024 0.80€ 0.80€ 0.732€ 0.754€ 5 816
May 24, 2024 0.740€ 0.81€ 0.740€ 0.80€ 12 315
May 23, 2024 0.750€ 0.750€ 0.740€ 0.740€ 923
May 22, 2024 0.750€ 0.750€ 0.750€ 0.750€ 3 220

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 ALESA.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the ALESA.PA 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 ALESA.PA 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 Ecoslops S.A.

Ecoslops S.A. Ecoslops SA regenerate oil residues into new fuels and light bitumen in France and Portugal. It uses a micro-refining industrial process that transforms these residues into commercial products. The company offers an economic and ecological solution to port infrastructure, waste collectors, and ship owners through its processing plants. Ecoslops SA was founded in 2005 and is based in Paris, France.... ALESA.PA Profile

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