TRY 10.61
+0.0100 (+0.0943%)
At Close: Nov 17, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | TRY 10.00 | TRY 12.22 | Monday, 17th Nov 2025 SUWEN.IS stock ended at TRY 10.61. This is 0.0943% more than the trading day before Friday, 14th Nov 2025. During the day the stock fluctuated 2.60% from a day low at TRY 10.39 to a day high of TRY 10.66. |
| 90 days | TRY 9.97 | TRY 12.54 | |
| 52 weeks | TRY 8.44 | TRY 31.70 |
Historical Suwen Tekstil Sanayi Pazarlama A.S. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 17, 2025 | TRY 10.60 | TRY 10.66 | TRY 10.39 | TRY 10.61 | 4 064 034 |
| Nov 14, 2025 | TRY 10.67 | TRY 10.67 | TRY 10.36 | TRY 10.60 | 2 664 994 |
| Nov 13, 2025 | TRY 10.61 | TRY 11.00 | TRY 10.55 | TRY 10.62 | 2 990 221 |
| Nov 12, 2025 | TRY 10.71 | TRY 10.99 | TRY 10.60 | TRY 10.60 | 4 138 832 |
| Nov 11, 2025 | TRY 10.91 | TRY 11.05 | TRY 10.32 | TRY 10.77 | 4 398 185 |
| Nov 10, 2025 | TRY 11.01 | TRY 11.21 | TRY 10.84 | TRY 10.91 | 2 866 200 |
| Nov 07, 2025 | TRY 11.31 | TRY 11.35 | TRY 10.90 | TRY 10.99 | 4 594 421 |
| Nov 06, 2025 | TRY 11.56 | TRY 11.70 | TRY 11.14 | TRY 11.35 | 3 510 806 |
| Nov 05, 2025 | TRY 11.87 | TRY 11.95 | TRY 11.50 | TRY 11.53 | 4 042 186 |
| Nov 04, 2025 | TRY 11.64 | TRY 12.10 | TRY 11.64 | TRY 11.87 | 12 381 940 |
| Nov 03, 2025 | TRY 12.19 | TRY 12.22 | TRY 11.48 | TRY 11.65 | 23 821 306 |
| Oct 31, 2025 | TRY 10.75 | TRY 11.78 | TRY 10.75 | TRY 11.78 | 34 039 256 |
| Oct 30, 2025 | TRY 10.70 | TRY 10.99 | TRY 10.68 | TRY 10.71 | 7 377 475 |
| Oct 28, 2025 | TRY 10.80 | TRY 10.87 | TRY 10.54 | TRY 10.70 | 2 305 285 |
| Oct 27, 2025 | TRY 10.41 | TRY 10.85 | TRY 10.41 | TRY 10.75 | 3 823 061 |
| Oct 24, 2025 | TRY 10.20 | TRY 10.66 | TRY 10.20 | TRY 10.41 | 5 830 681 |
| Oct 23, 2025 | TRY 10.10 | TRY 10.99 | TRY 10.08 | TRY 10.17 | 4 394 169 |
| Oct 22, 2025 | TRY 10.11 | TRY 10.28 | TRY 10.06 | TRY 10.10 | 4 906 823 |
| Oct 21, 2025 | TRY 10.22 | TRY 10.25 | TRY 10.05 | TRY 10.05 | 3 441 907 |
| Oct 20, 2025 | TRY 10.22 | TRY 10.34 | TRY 10.00 | TRY 10.19 | 3 943 624 |
| Oct 17, 2025 | TRY 10.34 | TRY 10.37 | TRY 10.03 | TRY 10.15 | 4 578 936 |
| Oct 16, 2025 | TRY 10.32 | TRY 10.55 | TRY 10.23 | TRY 10.34 | 4 700 425 |
| Oct 15, 2025 | TRY 10.34 | TRY 10.47 | TRY 10.25 | TRY 10.30 | 6 911 906 |
| Oct 14, 2025 | TRY 10.97 | TRY 11.05 | TRY 10.00 | TRY 10.34 | 9 174 253 |
| Oct 13, 2025 | TRY 10.72 | TRY 11.23 | TRY 10.72 | TRY 10.93 | 5 748 395 |
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 SUWEN.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the SUWEN.IS 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 SUWEN.IS 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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