Plastikkart Akilli Kart Iletisim Stock Price (Quote)
TRY 123.20
+11.20 (+10.00%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 84.50 | TRY 123.70 | Monday, 20th May 2024 PKART.IS stock ended at TRY 123.20. This is 10.00% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 14.50% from a day low at TRY 107.60 to a day high of TRY 123.20. |
90 days | TRY 59.05 | TRY 123.70 | |
52 weeks | TRY 17.95 | TRY 123.70 |
Date | Open | High | Low | Close | Volume |
Apr 08, 2024 | TRY 69.50 | TRY 74.25 | TRY 69.50 | TRY 72.15 | 423 487 |
Apr 05, 2024 | TRY 68.95 | TRY 74.30 | TRY 67.45 | TRY 69.10 | 689 382 |
Apr 04, 2024 | TRY 70.05 | TRY 72.70 | TRY 67.30 | TRY 68.05 | 407 632 |
Apr 03, 2024 | TRY 75.50 | TRY 75.85 | TRY 70.70 | TRY 70.70 | 370 151 |
Apr 02, 2024 | TRY 75.80 | TRY 83.35 | TRY 72.15 | TRY 75.50 | 1 061 324 |
Apr 01, 2024 | TRY 79.35 | TRY 82.20 | TRY 71.75 | TRY 75.80 | 358 717 |
Mar 29, 2024 | TRY 83.35 | TRY 85.50 | TRY 79.20 | TRY 79.30 | 518 382 |
Mar 28, 2024 | TRY 88.00 | TRY 88.00 | TRY 82.80 | TRY 83.35 | 501 041 |
Mar 27, 2024 | TRY 95.00 | TRY 96.40 | TRY 82.40 | TRY 88.70 | 1 488 947 |
Mar 26, 2024 | TRY 83.10 | TRY 90.90 | TRY 83.10 | TRY 90.90 | 906 245 |
Mar 25, 2024 | TRY 95.95 | TRY 97.40 | TRY 82.45 | TRY 82.65 | 1 884 704 |
Mar 22, 2024 | TRY 86.00 | TRY 91.60 | TRY 85.00 | TRY 91.60 | 1 902 716 |
Mar 21, 2024 | TRY 76.80 | TRY 83.30 | TRY 76.80 | TRY 83.30 | 1 131 976 |
Mar 20, 2024 | TRY 92.55 | TRY 92.55 | TRY 75.75 | TRY 75.75 | 2 512 280 |
Mar 19, 2024 | TRY 82.90 | TRY 84.15 | TRY 82.00 | TRY 84.15 | 223 296 |
Mar 18, 2024 | TRY 69.90 | TRY 76.50 | TRY 69.90 | TRY 76.50 | 440 846 |
Mar 15, 2024 | TRY 65.00 | TRY 71.50 | TRY 64.75 | TRY 69.55 | 1 473 324 |
Mar 14, 2024 | TRY 67.10 | TRY 71.60 | TRY 65.00 | TRY 65.00 | 248 414 |
Mar 13, 2024 | TRY 68.85 | TRY 71.50 | TRY 66.60 | TRY 67.95 | 105 720 |
Mar 12, 2024 | TRY 67.90 | TRY 70.00 | TRY 66.00 | TRY 69.50 | 163 893 |
Mar 11, 2024 | TRY 73.05 | TRY 74.65 | TRY 67.25 | TRY 70.20 | 370 040 |
Mar 08, 2024 | TRY 64.50 | TRY 70.95 | TRY 62.50 | TRY 70.95 | 278 684 |
Mar 07, 2024 | TRY 60.05 | TRY 64.95 | TRY 60.00 | TRY 64.50 | 91 554 |
Mar 06, 2024 | TRY 64.20 | TRY 64.20 | TRY 59.05 | TRY 61.50 | 84 049 |
Mar 05, 2024 | TRY 63.30 | TRY 65.90 | TRY 62.80 | TRY 64.70 | 110 041 |
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 PKART.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the PKART.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 PKART.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.