BIST:TKNSA
Teknosa Iç ve Dis Ticaret Anonim Stock Price (Quote)
TRY 39.58
-0.560 (-1.40%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 39.18 | TRY 44.74 | Friday, 24th May 2024 TKNSA.IS stock ended at TRY 39.58. This is 1.40% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 2.78% from a day low at TRY 39.52 to a day high of TRY 40.62. |
90 days | TRY 36.88 | TRY 55.80 | |
52 weeks | TRY 15.55 | TRY 55.80 |
Date | Open | High | Low | Close | Volume |
Oct 17, 2019 | TRY 2.56 | TRY 2.67 | TRY 2.53 | TRY 2.59 | 5 142 206 |
Oct 16, 2019 | TRY 2.54 | TRY 2.59 | TRY 2.50 | TRY 2.56 | 1 168 510 |
Oct 15, 2019 | TRY 2.49 | TRY 2.65 | TRY 2.49 | TRY 2.61 | 2 535 002 |
Oct 14, 2019 | TRY 2.60 | TRY 2.61 | TRY 2.47 | TRY 2.48 | 1 269 883 |
Oct 11, 2019 | TRY 2.64 | TRY 2.69 | TRY 2.60 | TRY 2.61 | 1 306 072 |
Oct 10, 2019 | TRY 2.53 | TRY 2.67 | TRY 2.45 | TRY 2.64 | 3 243 249 |
Oct 09, 2019 | TRY 2.62 | TRY 2.64 | TRY 2.53 | TRY 2.53 | 1 095 071 |
Oct 08, 2019 | TRY 2.69 | TRY 2.69 | TRY 2.57 | TRY 2.62 | 1 811 148 |
Oct 07, 2019 | TRY 2.74 | TRY 2.77 | TRY 2.69 | TRY 2.71 | 982 967 |
Oct 04, 2019 | TRY 2.77 | TRY 2.81 | TRY 2.73 | TRY 2.74 | 1 235 603 |
Oct 03, 2019 | TRY 2.84 | TRY 2.89 | TRY 2.74 | TRY 2.75 | 2 844 680 |
Oct 02, 2019 | TRY 2.78 | TRY 2.84 | TRY 2.78 | TRY 2.83 | 1 383 838 |
Oct 01, 2019 | TRY 2.85 | TRY 2.86 | TRY 2.78 | TRY 2.78 | 1 135 448 |
Sep 30, 2019 | TRY 2.84 | TRY 2.89 | TRY 2.83 | TRY 2.84 | 2 731 786 |
Sep 27, 2019 | TRY 2.80 | TRY 2.87 | TRY 2.79 | TRY 2.83 | 2 118 069 |
Sep 26, 2019 | TRY 2.83 | TRY 2.88 | TRY 2.76 | TRY 2.80 | 2 035 075 |
Sep 25, 2019 | TRY 2.89 | TRY 2.89 | TRY 2.82 | TRY 2.83 | 2 206 829 |
Sep 24, 2019 | TRY 2.93 | TRY 2.98 | TRY 2.80 | TRY 2.87 | 7 153 067 |
Sep 23, 2019 | TRY 2.85 | TRY 3.03 | TRY 2.85 | TRY 2.92 | 14 299 124 |
Sep 20, 2019 | TRY 2.76 | TRY 2.84 | TRY 2.73 | TRY 2.83 | 6 664 520 |
Sep 19, 2019 | TRY 2.71 | TRY 2.85 | TRY 2.70 | TRY 2.76 | 11 054 158 |
Sep 18, 2019 | TRY 2.71 | TRY 2.76 | TRY 2.70 | TRY 2.70 | 2 118 960 |
Sep 17, 2019 | TRY 2.80 | TRY 2.81 | TRY 2.67 | TRY 2.69 | 2 255 991 |
Sep 16, 2019 | TRY 2.71 | TRY 2.81 | TRY 2.69 | TRY 2.75 | 2 407 176 |
Sep 13, 2019 | TRY 2.69 | TRY 2.86 | TRY 2.68 | TRY 2.72 | 9 509 413 |
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 TKNSA.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the TKNSA.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 TKNSA.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.