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 |
May 07, 2020 | TRY 16.73 | TRY 16.84 | TRY 16.36 | TRY 16.42 | 662 061 |
May 06, 2020 | TRY 16.24 | TRY 16.99 | TRY 16.07 | TRY 16.73 | 1 650 761 |
May 05, 2020 | TRY 16.30 | TRY 16.39 | TRY 15.86 | TRY 16.22 | 784 564 |
May 04, 2020 | TRY 16.40 | TRY 16.60 | TRY 16.01 | TRY 16.04 | 676 401 |
Apr 30, 2020 | TRY 17.15 | TRY 17.27 | TRY 16.30 | TRY 16.76 | 1 077 298 |
Apr 29, 2020 | TRY 17.05 | TRY 17.53 | TRY 16.80 | TRY 17.07 | 1 737 420 |
Apr 28, 2020 | TRY 18.38 | TRY 18.90 | TRY 16.76 | TRY 16.97 | 3 992 913 |
Apr 27, 2020 | TRY 16.54 | TRY 17.67 | TRY 16.30 | TRY 17.67 | 1 205 706 |
Apr 24, 2020 | TRY 15.70 | TRY 16.55 | TRY 15.67 | TRY 16.07 | 2 878 941 |
Apr 22, 2020 | TRY 15.30 | TRY 16.13 | TRY 15.30 | TRY 15.64 | 2 164 376 |
Apr 21, 2020 | TRY 15.52 | TRY 15.80 | TRY 15.10 | TRY 15.25 | 1 200 003 |
Apr 20, 2020 | TRY 15.65 | TRY 15.84 | TRY 15.38 | TRY 15.55 | 883 129 |
Apr 17, 2020 | TRY 15.05 | TRY 15.89 | TRY 14.95 | TRY 15.57 | 2 291 161 |
Apr 16, 2020 | TRY 14.78 | TRY 15.32 | TRY 14.05 | TRY 14.77 | 1 195 159 |
Apr 15, 2020 | TRY 15.78 | TRY 15.78 | TRY 14.20 | TRY 14.68 | 1 381 672 |
Apr 14, 2020 | TRY 16.25 | TRY 16.30 | TRY 15.44 | TRY 15.77 | 1 822 854 |
Apr 13, 2020 | TRY 14.90 | TRY 16.19 | TRY 14.62 | TRY 15.97 | 692 990 |
Apr 10, 2020 | TRY 15.24 | TRY 15.24 | TRY 14.60 | TRY 15.04 | 451 203 |
Apr 09, 2020 | TRY 14.84 | TRY 15.68 | TRY 14.59 | TRY 15.23 | 802 874 |
Apr 08, 2020 | TRY 13.77 | TRY 15.12 | TRY 13.08 | TRY 15.12 | 755 207 |
Apr 07, 2020 | TRY 14.45 | TRY 15.10 | TRY 13.75 | TRY 13.75 | 696 201 |
Apr 06, 2020 | TRY 13.50 | TRY 14.64 | TRY 13.20 | TRY 14.42 | 947 144 |
Apr 03, 2020 | TRY 12.15 | TRY 13.31 | TRY 11.99 | TRY 13.31 | 710 019 |
Apr 02, 2020 | TRY 12.22 | TRY 12.34 | TRY 11.80 | TRY 12.10 | 219 022 |
Apr 01, 2020 | TRY 12.40 | TRY 12.79 | TRY 11.84 | TRY 12.22 | 349 385 |
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.