BIST:KUTPO
Kütahya Porselen Sanayi Anonim Sirketi Stock Price (Quote)
TRY 94.10
-7.80 (-7.65%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 90.20 | TRY 121.90 | Tuesday, 21st May 2024 KUTPO.IS stock ended at TRY 94.10. This is 7.65% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 8.64% from a day low at TRY 93.80 to a day high of TRY 101.90. |
90 days | TRY 67.10 | TRY 121.90 | |
52 weeks | TRY 39.00 | TRY 121.90 |
Date | Open | High | Low | Close | Volume |
Nov 20, 2023 | TRY 64.20 | TRY 66.05 | TRY 64.20 | TRY 65.70 | 539 082 |
Nov 17, 2023 | TRY 65.00 | TRY 65.30 | TRY 63.60 | TRY 63.90 | 327 183 |
Nov 16, 2023 | TRY 64.80 | TRY 67.05 | TRY 64.10 | TRY 64.80 | 481 826 |
Nov 15, 2023 | TRY 64.90 | TRY 67.05 | TRY 64.30 | TRY 64.60 | 453 113 |
Nov 14, 2023 | TRY 64.80 | TRY 65.85 | TRY 62.00 | TRY 64.35 | 688 728 |
Nov 13, 2023 | TRY 69.00 | TRY 69.80 | TRY 64.25 | TRY 64.75 | 629 098 |
Nov 10, 2023 | TRY 68.90 | TRY 71.05 | TRY 67.00 | TRY 69.00 | 961 481 |
Nov 09, 2023 | TRY 68.80 | TRY 73.35 | TRY 66.70 | TRY 69.90 | 1 407 825 |
Nov 08, 2023 | TRY 66.00 | TRY 72.50 | TRY 65.85 | TRY 69.25 | 1 776 718 |
Nov 07, 2023 | TRY 63.20 | TRY 67.10 | TRY 62.60 | TRY 65.95 | 889 594 |
Nov 06, 2023 | TRY 63.70 | TRY 64.70 | TRY 62.40 | TRY 63.55 | 402 843 |
Nov 03, 2023 | TRY 60.25 | TRY 62.80 | TRY 59.55 | TRY 62.10 | 387 515 |
Nov 02, 2023 | TRY 59.40 | TRY 61.15 | TRY 59.40 | TRY 60.25 | 282 956 |
Nov 01, 2023 | TRY 61.85 | TRY 62.80 | TRY 57.65 | TRY 59.35 | 480 287 |
Oct 31, 2023 | TRY 60.95 | TRY 65.60 | TRY 60.60 | TRY 61.55 | 1 193 077 |
Oct 30, 2023 | TRY 57.75 | TRY 61.00 | TRY 57.60 | TRY 59.75 | 441 789 |
Oct 27, 2023 | TRY 58.30 | TRY 58.80 | TRY 56.75 | TRY 58.45 | 342 114 |
Oct 26, 2023 | TRY 57.00 | TRY 58.60 | TRY 55.40 | TRY 57.80 | 468 842 |
Oct 25, 2023 | TRY 62.75 | TRY 63.35 | TRY 56.20 | TRY 56.40 | 1 856 121 |
Oct 24, 2023 | TRY 61.00 | TRY 63.10 | TRY 59.95 | TRY 62.30 | 732 032 |
Oct 23, 2023 | TRY 59.10 | TRY 61.40 | TRY 57.85 | TRY 60.20 | 413 620 |
Oct 20, 2023 | TRY 62.30 | TRY 62.30 | TRY 58.20 | TRY 58.45 | 621 563 |
Oct 19, 2023 | TRY 62.60 | TRY 66.00 | TRY 62.35 | TRY 62.85 | 399 788 |
Oct 18, 2023 | TRY 65.80 | TRY 65.85 | TRY 62.60 | TRY 62.60 | 607 711 |
Oct 17, 2023 | TRY 66.50 | TRY 67.70 | TRY 64.30 | TRY 66.95 | 606 725 |
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 KUTPO.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the KUTPO.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 KUTPO.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.