0.0878 Fr
+0 (+0%)
At Close: Jun 04, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 0.0830 Fr | 0.100 Fr | Thursday, 4th Jun 2026 0QP6.L stock ended at 0.0878 Fr. During the day the stock fluctuated 0% from a day low at 0.0878 Fr to a day high of 0.0878 Fr. |
| 90 days | 0.0830 Fr | 0.130 Fr | |
| 52 weeks | 0.0830 Fr | 0.308 Fr |
Historical Leclanché Sa prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 04, 2026 | 0.0878 Fr | 0.0878 Fr | 0.0878 Fr | 0.0878 Fr | 0 |
| Jun 03, 2026 | 0.0878 Fr | 0.0878 Fr | 0.0878 Fr | 0.0878 Fr | 0 |
| Jun 02, 2026 | 0.0878 Fr | 0.0878 Fr | 0.0878 Fr | 0.0878 Fr | 0 |
| Jun 01, 2026 | 0.0878 Fr | 0.0878 Fr | 0.0878 Fr | 0.0878 Fr | 0 |
| May 29, 2026 | 0.0900 Fr | 0.0900 Fr | 0.0878 Fr | 0.0878 Fr | 52 |
| May 28, 2026 | 0.0830 Fr | 0.0830 Fr | 0.0830 Fr | 0.0830 Fr | 26 |
| May 27, 2026 | 0.0860 Fr | 0.0860 Fr | 0.0860 Fr | 0.0860 Fr | 140 |
| May 26, 2026 | 0.0832 Fr | 0.0832 Fr | 0.0832 Fr | 0.0832 Fr | 0 |
| May 22, 2026 | 0.0832 Fr | 0.0832 Fr | 0.0832 Fr | 0.0832 Fr | 0 |
| May 21, 2026 | 0.0898 Fr | 0.0898 Fr | 0.0832 Fr | 0.0832 Fr | 71 |
| May 20, 2026 | 0.0948 Fr | 0.0948 Fr | 0.0948 Fr | 0.0948 Fr | 40 |
| May 19, 2026 | 0.0870 Fr | 0.0870 Fr | 0.0870 Fr | 0.0870 Fr | 854 |
| May 18, 2026 | 0.0870 Fr | 0.0870 Fr | 0.0870 Fr | 0.0870 Fr | 53 682 |
| May 15, 2026 | 0.0900 Fr | 0.0900 Fr | 0.0900 Fr | 0.0900 Fr | 0 |
| May 14, 2026 | 0.0906 Fr | 0.0906 Fr | 0.0906 Fr | 0.0906 Fr | 0 |
| May 13, 2026 | 0.0906 Fr | 0.0906 Fr | 0.0906 Fr | 0.0906 Fr | 0 |
| May 12, 2026 | 0.0900 Fr | 0.0906 Fr | 0.0900 Fr | 0.0906 Fr | 32 |
| May 11, 2026 | 0.0902 Fr | 0.0978 Fr | 0.0902 Fr | 0.0978 Fr | 64 |
| May 08, 2026 | 0.0984 Fr | 0.0984 Fr | 0.0984 Fr | 0.0984 Fr | 29 |
| May 07, 2026 | 0.0900 Fr | 0.0984 Fr | 0.0900 Fr | 0.0900 Fr | 127 |
| May 06, 2026 | 0.0836 Fr | 0.0836 Fr | 0.0836 Fr | 0.0836 Fr | 8 |
| May 05, 2026 | 0.100 Fr | 0.100 Fr | 0.100 Fr | 0.100 Fr | 22 |
| May 01, 2026 | 0.101 Fr | 0.101 Fr | 0.101 Fr | 0.101 Fr | 0 |
| Apr 30, 2026 | 0.109 Fr | 0.109 Fr | 0.101 Fr | 0.101 Fr | 18 217 |
| Apr 29, 2026 | 0.110 Fr | 0.110 Fr | 0.109 Fr | 0.109 Fr | 82 |
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 0QP6.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0QP6.L 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 0QP6.L 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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