BIST:PNSUT
Pinar Süt Mamülleri Sanayii A.S. Stock Price (Quote)
TRY 86.00
+0.350 (+0.409%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 84.90 | TRY 105.00 | Friday, 17th May 2024 PNSUT.IS stock ended at TRY 86.00. This is 0.409% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.82% from a day low at TRY 85.65 to a day high of TRY 86.35. |
90 days | TRY 79.15 | TRY 105.00 | |
52 weeks | TRY 42.04 | TRY 105.00 |
Date | Open | High | Low | Close | Volume |
Sep 07, 2023 | TRY 83.00 | TRY 87.35 | TRY 83.00 | TRY 86.90 | 691 635 |
Sep 06, 2023 | TRY 84.45 | TRY 85.35 | TRY 82.85 | TRY 83.00 | 440 283 |
Sep 05, 2023 | TRY 86.10 | TRY 86.45 | TRY 84.25 | TRY 84.50 | 596 677 |
Sep 04, 2023 | TRY 87.65 | TRY 88.00 | TRY 85.50 | TRY 86.25 | 748 372 |
Sep 01, 2023 | TRY 86.10 | TRY 87.00 | TRY 85.50 | TRY 86.50 | 519 111 |
Aug 31, 2023 | TRY 87.20 | TRY 88.40 | TRY 86.05 | TRY 86.05 | 688 692 |
Aug 29, 2023 | TRY 90.20 | TRY 90.50 | TRY 85.85 | TRY 86.95 | 625 210 |
Aug 28, 2023 | TRY 85.10 | TRY 90.45 | TRY 85.10 | TRY 88.85 | 1 103 451 |
Aug 25, 2023 | TRY 86.00 | TRY 86.95 | TRY 82.55 | TRY 84.60 | 736 303 |
Aug 24, 2023 | TRY 93.60 | TRY 95.05 | TRY 84.55 | TRY 86.00 | 1 234 249 |
Aug 23, 2023 | TRY 91.20 | TRY 98.40 | TRY 91.20 | TRY 93.60 | 2 092 032 |
Aug 22, 2023 | TRY 83.70 | TRY 90.70 | TRY 83.50 | TRY 90.00 | 2 551 710 |
Aug 21, 2023 | TRY 81.00 | TRY 85.15 | TRY 81.00 | TRY 83.40 | 1 572 007 |
Aug 18, 2023 | TRY 78.90 | TRY 84.10 | TRY 78.60 | TRY 80.95 | 1 998 993 |
Aug 17, 2023 | TRY 79.75 | TRY 82.25 | TRY 77.10 | TRY 78.40 | 1 617 330 |
Aug 16, 2023 | TRY 79.35 | TRY 80.35 | TRY 78.50 | TRY 79.75 | 635 816 |
Aug 15, 2023 | TRY 80.10 | TRY 81.50 | TRY 76.20 | TRY 78.60 | 435 753 |
Aug 14, 2023 | TRY 78.70 | TRY 81.70 | TRY 77.60 | TRY 80.10 | 981 493 |
Aug 11, 2023 | TRY 76.00 | TRY 79.60 | TRY 72.80 | TRY 78.65 | 858 320 |
Aug 10, 2023 | TRY 78.00 | TRY 82.15 | TRY 75.20 | TRY 76.00 | 1 400 529 |
Aug 09, 2023 | TRY 81.00 | TRY 83.95 | TRY 78.80 | TRY 82.40 | 1 177 401 |
Aug 08, 2023 | TRY 82.75 | TRY 83.45 | TRY 80.00 | TRY 80.60 | 801 197 |
Aug 07, 2023 | TRY 80.80 | TRY 84.15 | TRY 80.80 | TRY 82.70 | 1 439 145 |
Aug 04, 2023 | TRY 80.60 | TRY 83.50 | TRY 77.60 | TRY 80.40 | 1 998 145 |
Aug 03, 2023 | TRY 84.25 | TRY 87.60 | TRY 80.10 | TRY 80.55 | 1 953 908 |
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 PNSUT.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the PNSUT.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 PNSUT.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.