AMS:MT
Delisted
ArcelorMittal SA Stock Price (Quote)
8.84€
-0.0400 (-0.450%)
At Close: Apr 20, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 6.93€ | 9.85€ | Monday, 20th Apr 2020 MT.AS stock ended at 8.84€. This is 0.450% less than the trading day before Friday, 17th Apr 2020. During the day the stock fluctuated 6.80% from a day low at 8.53€ to a day high of 9.11€. |
90 days | 5.98€ | 16.85€ | |
52 weeks | 5.98€ | 21.04€ |
Date | Open | High | Low | Close | Volume |
Apr 20, 2020 | 8.95€ | 9.11€ | 8.53€ | 8.84€ | 5 408 365 |
Apr 17, 2020 | 8.88€ | 8.94€ | 8.64€ | 8.88€ | 6 106 007 |
Apr 16, 2020 | 8.56€ | 8.74€ | 8.35€ | 8.44€ | 5 964 267 |
Apr 15, 2020 | 9.23€ | 9.27€ | 8.50€ | 8.51€ | 8 711 750 |
Apr 14, 2020 | 9.66€ | 9.74€ | 9.27€ | 9.31€ | 5 463 523 |
Apr 13, 2020 | 9.58€ | 9.58€ | 9.58€ | 9.58€ | 0 |
Apr 10, 2020 | 9.58€ | 9.58€ | 9.58€ | 9.58€ | 0 |
Apr 09, 2020 | 9.70€ | 9.85€ | 9.18€ | 9.57€ | 8 247 839 |
Apr 08, 2020 | 9.36€ | 9.49€ | 9.16€ | 9.42€ | 7 703 407 |
Apr 07, 2020 | 9.20€ | 9.71€ | 9.08€ | 9.54€ | 10 104 255 |
Apr 06, 2020 | 8.30€ | 8.74€ | 8.26€ | 8.64€ | 8 441 756 |
Apr 03, 2020 | 7.98€ | 8.03€ | 7.81€ | 7.85€ | 4 883 820 |
Apr 02, 2020 | 8.07€ | 8.29€ | 7.64€ | 8.07€ | 8 166 890 |
Apr 01, 2020 | 8.23€ | 8.40€ | 7.99€ | 8.04€ | 7 265 836 |
Mar 31, 2020 | 8.18€ | 8.66€ | 8.03€ | 8.66€ | 9 071 106 |
Mar 30, 2020 | 8.18€ | 8.31€ | 7.74€ | 7.98€ | 7 422 066 |
Mar 27, 2020 | 8.45€ | 8.70€ | 8.18€ | 8.34€ | 7 348 888 |
Mar 26, 2020 | 8.50€ | 8.84€ | 8.39€ | 8.69€ | 9 243 879 |
Mar 25, 2020 | 9.00€ | 9.29€ | 8.21€ | 8.79€ | 12 797 554 |
Mar 24, 2020 | 7.60€ | 8.54€ | 7.50€ | 8.54€ | 14 074 204 |
Mar 23, 2020 | 7.09€ | 7.60€ | 6.93€ | 7.20€ | 15 640 973 |
Mar 20, 2020 | 6.92€ | 7.54€ | 6.68€ | 7.53€ | 15 937 946 |
Mar 19, 2020 | 6.58€ | 6.73€ | 5.98€ | 6.53€ | 13 041 679 |
Mar 18, 2020 | 6.86€ | 6.98€ | 6.31€ | 6.46€ | 10 953 269 |
Mar 17, 2020 | 7.72€ | 7.75€ | 6.69€ | 7.17€ | 12 434 800 |
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.
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 MT.AS stock historical prices to predict future price movements?
Trend Analysis: Examine the MT.AS 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.
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.
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 MT.AS 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.