0.237 Fr
-0.0040 (-1.66%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 0.152 Fr | 0.270 Fr | Monday, 10th Aug 2026 0QKQ.L stock ended at 0.237 Fr. This is 1.66% less than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 12.58% from a day low at 0.231 Fr to a day high of 0.260 Fr. |
| 90 days | 0.152 Fr | 0.512 Fr | |
| 52 weeks | 0.152 Fr | 4.50 Fr |
Historical Relief Therapeutics Holding Ag prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | 0.260 Fr | 0.260 Fr | 0.231 Fr | 0.237 Fr | 179 469 |
| Aug 07, 2026 | 0.260 Fr | 0.270 Fr | 0.241 Fr | 0.241 Fr | 323 173 |
| Aug 06, 2026 | 0.240 Fr | 0.264 Fr | 0.236 Fr | 0.259 Fr | 88 026 |
| Aug 05, 2026 | 0.215 Fr | 0.241 Fr | 0.215 Fr | 0.236 Fr | 79 797 |
| Aug 04, 2026 | 0.233 Fr | 0.233 Fr | 0.211 Fr | 0.215 Fr | 283 574 |
| Aug 03, 2026 | 0.229 Fr | 0.235 Fr | 0.225 Fr | 0.230 Fr | 130 474 |
| Jul 31, 2026 | 0.203 Fr | 0.206 Fr | 0.195 Fr | 0.199 Fr | 282 755 |
| Jul 30, 2026 | 0.185 Fr | 0.200 Fr | 0.180 Fr | 0.187 Fr | 10 658 |
| Jul 29, 2026 | 0.167 Fr | 0.188 Fr | 0.167 Fr | 0.188 Fr | 0 |
| Jul 28, 2026 | 0.180 Fr | 0.180 Fr | 0.168 Fr | 0.171 Fr | 23 374 |
| Jul 27, 2026 | 0.160 Fr | 0.183 Fr | 0.160 Fr | 0.183 Fr | 5 836 |
| Jul 24, 2026 | 0.158 Fr | 0.158 Fr | 0.153 Fr | 0.158 Fr | 143 909 |
| Jul 23, 2026 | 0.158 Fr | 0.158 Fr | 0.152 Fr | 0.152 Fr | 7 562 |
| Jul 22, 2026 | 0.158 Fr | 0.159 Fr | 0.153 Fr | 0.158 Fr | 0 |
| Jul 21, 2026 | 0.157 Fr | 0.162 Fr | 0.157 Fr | 0.157 Fr | 10 162 |
| Jul 20, 2026 | 0.165 Fr | 0.165 Fr | 0.158 Fr | 0.158 Fr | 80 038 |
| Jul 17, 2026 | 0.159 Fr | 0.162 Fr | 0.159 Fr | 0.160 Fr | 114 792 |
| Jul 16, 2026 | 0.162 Fr | 0.164 Fr | 0.162 Fr | 0.164 Fr | 15 088 |
| Jul 15, 2026 | 0.162 Fr | 0.164 Fr | 0.157 Fr | 0.163 Fr | 43 850 |
| Jul 14, 2026 | 0.164 Fr | 0.168 Fr | 0.164 Fr | 0.166 Fr | 84 069 |
| Jul 13, 2026 | 0.181 Fr | 0.181 Fr | 0.164 Fr | 0.172 Fr | 14 050 |
| Jul 10, 2026 | 0.184 Fr | 0.185 Fr | 0.174 Fr | 0.174 Fr | 44 319 |
| Jul 09, 2026 | 0.209 Fr | 0.209 Fr | 0.182 Fr | 0.188 Fr | 45 916 |
| Jul 08, 2026 | 0.198 Fr | 0.199 Fr | 0.182 Fr | 0.192 Fr | 91 673 |
| Jul 07, 2026 | 0.210 Fr | 0.210 Fr | 0.201 Fr | 0.201 Fr | 365 654 |
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 0QKQ.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0QKQ.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 0QKQ.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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