BIST:KLMSN
Klimasan Klima Sanayi ve Ticaret A.S. Stock Price (Quote)
TRY 30.60
-0.160 (-0.520%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 30.02 | TRY 42.26 | Tuesday, 21st May 2024 KLMSN.IS stock ended at TRY 30.60. This is 0.520% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 3.26% from a day low at TRY 30.02 to a day high of TRY 31.00. |
90 days | TRY 27.88 | TRY 42.26 | |
52 weeks | TRY 15.60 | TRY 42.26 |
Date | Open | High | Low | Close | Volume |
Dec 25, 2023 | TRY 22.00 | TRY 23.08 | TRY 21.10 | TRY 22.50 | 1 751 260 |
Dec 22, 2023 | TRY 22.40 | TRY 22.70 | TRY 21.80 | TRY 22.10 | 743 236 |
Dec 21, 2023 | TRY 22.06 | TRY 22.80 | TRY 21.50 | TRY 22.46 | 762 971 |
Dec 20, 2023 | TRY 23.50 | TRY 23.50 | TRY 22.02 | TRY 22.14 | 859 366 |
Dec 19, 2023 | TRY 23.58 | TRY 23.86 | TRY 23.10 | TRY 23.12 | 980 891 |
Dec 18, 2023 | TRY 24.84 | TRY 25.32 | TRY 23.00 | TRY 23.70 | 2 628 785 |
Dec 15, 2023 | TRY 22.62 | TRY 24.44 | TRY 22.36 | TRY 24.44 | 2 006 106 |
Dec 14, 2023 | TRY 22.00 | TRY 22.50 | TRY 21.50 | TRY 22.22 | 659 094 |
Dec 13, 2023 | TRY 22.70 | TRY 22.82 | TRY 21.60 | TRY 21.80 | 1 033 772 |
Dec 12, 2023 | TRY 23.10 | TRY 23.24 | TRY 22.56 | TRY 23.00 | 796 561 |
Dec 11, 2023 | TRY 23.46 | TRY 23.96 | TRY 22.72 | TRY 23.10 | 952 562 |
Dec 08, 2023 | TRY 23.32 | TRY 24.26 | TRY 23.20 | TRY 23.80 | 2 009 058 |
Dec 07, 2023 | TRY 23.20 | TRY 23.48 | TRY 22.26 | TRY 23.30 | 1 026 103 |
Dec 06, 2023 | TRY 23.84 | TRY 24.20 | TRY 23.10 | TRY 23.20 | 1 630 363 |
Dec 05, 2023 | TRY 23.60 | TRY 24.40 | TRY 23.30 | TRY 23.84 | 2 091 626 |
Dec 04, 2023 | TRY 23.78 | TRY 23.80 | TRY 23.02 | TRY 23.48 | 953 434 |
Dec 01, 2023 | TRY 24.32 | TRY 24.34 | TRY 23.46 | TRY 23.60 | 1 276 722 |
Nov 30, 2023 | TRY 24.16 | TRY 24.74 | TRY 23.94 | TRY 24.06 | 1 214 922 |
Nov 29, 2023 | TRY 24.60 | TRY 24.84 | TRY 23.90 | TRY 24.08 | 1 557 091 |
Nov 28, 2023 | TRY 24.54 | TRY 25.12 | TRY 24.18 | TRY 24.68 | 3 073 273 |
Nov 27, 2023 | TRY 25.50 | TRY 25.50 | TRY 24.42 | TRY 24.50 | 2 048 215 |
Nov 24, 2023 | TRY 24.24 | TRY 25.80 | TRY 24.10 | TRY 25.10 | 4 004 547 |
Nov 23, 2023 | TRY 24.74 | TRY 24.88 | TRY 24.20 | TRY 24.30 | 2 198 242 |
Nov 22, 2023 | TRY 25.28 | TRY 25.58 | TRY 24.58 | TRY 24.68 | 2 645 554 |
Nov 21, 2023 | TRY 25.92 | TRY 25.98 | TRY 24.96 | TRY 25.24 | 2 777 600 |
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.