BIST:KLMSN
Klimasan Klima Sanayi ve Ticaret A.S. Stock Price (Quote)
TRY 28.40
+0.340 (+1.21%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 27.00 | TRY 33.30 | Friday, 14th Jun 2024 KLMSN.IS stock ended at TRY 28.40. This is 1.21% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 3.43% from a day low at TRY 27.96 to a day high of TRY 28.92. |
90 days | TRY 27.00 | TRY 42.26 | |
52 weeks | TRY 17.41 | TRY 42.26 |
Historical Klimasan Klima Sanayi ve Ticaret A.S. prices
Date | Open | High | Low | Close | Volume |
Jan 20, 2020 | TRY 18.74 | TRY 18.99 | TRY 18.22 | TRY 18.34 | 1 031 016 |
Jan 17, 2020 | TRY 19.55 | TRY 19.68 | TRY 18.67 | TRY 18.74 | 1 050 887 |
Jan 16, 2020 | TRY 18.75 | TRY 19.99 | TRY 18.71 | TRY 19.35 | 4 429 685 |
Jan 15, 2020 | TRY 18.25 | TRY 19.22 | TRY 18.09 | TRY 18.62 | 2 794 282 |
Jan 14, 2020 | TRY 18.16 | TRY 18.45 | TRY 17.86 | TRY 18.06 | 1 338 170 |
Jan 13, 2020 | TRY 18.22 | TRY 18.45 | TRY 18.16 | TRY 18.18 | 805 906 |
Jan 10, 2020 | TRY 18.30 | TRY 18.56 | TRY 17.95 | TRY 18.07 | 988 109 |
Jan 09, 2020 | TRY 18.20 | TRY 18.75 | TRY 18.00 | TRY 18.27 | 1 488 551 |
Jan 08, 2020 | TRY 17.87 | TRY 18.20 | TRY 16.88 | TRY 17.56 | 1 396 882 |
Jan 07, 2020 | TRY 19.53 | TRY 20.96 | TRY 18.22 | TRY 18.30 | 3 777 889 |
Jan 06, 2020 | TRY 19.88 | TRY 19.88 | TRY 19.04 | TRY 19.15 | 782 812 |
Jan 03, 2020 | TRY 21.30 | TRY 21.30 | TRY 19.81 | TRY 19.88 | 1 833 997 |
Jan 02, 2020 | TRY 22.30 | TRY 23.30 | TRY 21.18 | TRY 21.34 | 5 647 546 |
Dec 31, 2019 | TRY 18.47 | TRY 22.08 | TRY 18.38 | TRY 22.08 | 6 897 918 |
Dec 30, 2019 | TRY 18.25 | TRY 18.80 | TRY 18.22 | TRY 18.41 | 995 356 |
Dec 27, 2019 | TRY 18.10 | TRY 18.84 | TRY 18.00 | TRY 18.21 | 1 181 443 |
Dec 26, 2019 | TRY 18.13 | TRY 18.45 | TRY 17.92 | TRY 18.01 | 455 071 |
Dec 25, 2019 | TRY 18.08 | TRY 18.31 | TRY 18.04 | TRY 18.13 | 591 688 |
Dec 24, 2019 | TRY 18.06 | TRY 18.55 | TRY 17.77 | TRY 18.07 | 1 492 021 |
Dec 23, 2019 | TRY 16.55 | TRY 18.56 | TRY 16.51 | TRY 18.05 | 3 957 837 |
Dec 20, 2019 | TRY 16.75 | TRY 17.03 | TRY 16.10 | TRY 16.50 | 1 145 108 |
Dec 19, 2019 | TRY 16.70 | TRY 17.00 | TRY 16.55 | TRY 16.66 | 699 049 |
Dec 18, 2019 | TRY 16.69 | TRY 16.78 | TRY 16.49 | TRY 16.63 | 468 633 |
Dec 17, 2019 | TRY 17.14 | TRY 17.58 | TRY 16.66 | TRY 16.69 | 1 022 442 |
Dec 16, 2019 | TRY 17.19 | TRY 17.35 | TRY 17.00 | TRY 17.05 | 435 208 |
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 KLMSN.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the KLMSN.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 KLMSN.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.