75.20 Fr
+0.150 (+0.200%)
At Close: Jun 12, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 73.90 Fr | 87.35 Fr | Friday, 12th Jun 2026 ACLN.SW stock ended at 75.20 Fr. This is 0.200% more than the trading day before Thursday, 11th Jun 2026. During the day the stock fluctuated 3.85% from a day low at 73.95 Fr to a day high of 76.80 Fr. |
| 90 days | 68.95 Fr | 90.50 Fr | |
| 52 weeks | 52.05 Fr | 90.50 Fr |
Historical Accelleron Industries Ag prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 12, 2026 | 76.05 Fr | 76.80 Fr | 73.95 Fr | 75.20 Fr | 128 421 |
| Jun 11, 2026 | 76.15 Fr | 76.55 Fr | 73.90 Fr | 75.05 Fr | 170 991 |
| Jun 10, 2026 | 77.70 Fr | 78.50 Fr | 75.75 Fr | 76.10 Fr | 150 030 |
| Jun 09, 2026 | 78.55 Fr | 79.60 Fr | 77.30 Fr | 77.30 Fr | 167 840 |
| Jun 08, 2026 | 77.15 Fr | 79.15 Fr | 77.05 Fr | 78.55 Fr | 140 122 |
| Jun 05, 2026 | 77.80 Fr | 78.70 Fr | 76.60 Fr | 78.15 Fr | 151 079 |
| Jun 04, 2026 | 77.70 Fr | 78.90 Fr | 76.60 Fr | 77.80 Fr | 132 945 |
| Jun 03, 2026 | 76.80 Fr | 78.50 Fr | 75.80 Fr | 77.90 Fr | 167 413 |
| Jun 02, 2026 | 78.00 Fr | 78.55 Fr | 76.55 Fr | 77.00 Fr | 176 411 |
| Jun 01, 2026 | 78.35 Fr | 79.65 Fr | 76.75 Fr | 77.30 Fr | 221 883 |
| May 29, 2026 | 79.10 Fr | 79.10 Fr | 77.45 Fr | 77.65 Fr | 311 902 |
| May 28, 2026 | 80.25 Fr | 81.40 Fr | 78.75 Fr | 79.00 Fr | 142 296 |
| May 27, 2026 | 81.30 Fr | 81.90 Fr | 79.85 Fr | 80.40 Fr | 127 331 |
| May 26, 2026 | 80.00 Fr | 81.60 Fr | 80.00 Fr | 80.90 Fr | 144 410 |
| May 22, 2026 | 78.55 Fr | 79.35 Fr | 77.60 Fr | 79.35 Fr | 0 |
| May 21, 2026 | 80.40 Fr | 80.90 Fr | 77.70 Fr | 77.75 Fr | 251 024 |
| May 20, 2026 | 83.15 Fr | 83.40 Fr | 80.20 Fr | 80.45 Fr | 221 227 |
| May 19, 2026 | 83.75 Fr | 85.50 Fr | 81.60 Fr | 82.50 Fr | 189 518 |
| May 18, 2026 | 84.05 Fr | 86.30 Fr | 83.40 Fr | 84.15 Fr | 178 690 |
| May 15, 2026 | 86.35 Fr | 86.75 Fr | 83.20 Fr | 84.75 Fr | 199 748 |
| May 13, 2026 | 85.40 Fr | 87.35 Fr | 85.25 Fr | 86.75 Fr | 202 571 |
| May 12, 2026 | 85.50 Fr | 87.10 Fr | 83.75 Fr | 84.45 Fr | 142 231 |
| May 11, 2026 | 87.90 Fr | 88.55 Fr | 85.25 Fr | 86.40 Fr | 0 |
| May 08, 2026 | 87.70 Fr | 88.55 Fr | 87.10 Fr | 87.60 Fr | 106 274 |
| May 07, 2026 | 88.80 Fr | 90.50 Fr | 87.95 Fr | 87.95 Fr | 0 |
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 ACLN.SW stock historical prices to predict future price movements?
Trend Analysis: Examine the ACLN.SW 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 ACLN.SW 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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