BIST:PNSUT
Pinar Süt Mamülleri Sanayii A.S. Stock Price (Quote)
TRY 88.60
+5.45 (+6.55%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | TRY 82.10 | TRY 105.00 | Friday, 31st May 2024 PNSUT.IS stock ended at TRY 88.60. This is 6.55% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 7.16% from a day low at TRY 85.25 to a day high of TRY 91.35. |
90 days | TRY 79.15 | TRY 105.00 | |
52 weeks | TRY 47.36 | TRY 105.00 |
Historical Pinar Süt Mamülleri Sanayii A.S. prices
Date | Open | High | Low | Close | Volume |
Mar 23, 2022 | TRY 22.30 | TRY 22.82 | TRY 22.04 | TRY 22.54 | 876 727 |
Mar 22, 2022 | TRY 22.20 | TRY 22.40 | TRY 22.10 | TRY 22.20 | 440 745 |
Mar 21, 2022 | TRY 21.94 | TRY 22.60 | TRY 21.94 | TRY 22.06 | 510 597 |
Mar 18, 2022 | TRY 21.60 | TRY 22.10 | TRY 21.30 | TRY 21.94 | 606 178 |
Mar 17, 2022 | TRY 21.10 | TRY 22.22 | TRY 21.06 | TRY 21.84 | 1 270 391 |
Mar 16, 2022 | TRY 21.06 | TRY 21.22 | TRY 20.62 | TRY 21.02 | 552 803 |
Mar 15, 2022 | TRY 20.94 | TRY 21.44 | TRY 20.82 | TRY 20.84 | 504 635 |
Mar 14, 2022 | TRY 20.78 | TRY 21.18 | TRY 20.76 | TRY 21.02 | 263 569 |
Mar 11, 2022 | TRY 20.80 | TRY 21.50 | TRY 20.54 | TRY 21.22 | 550 465 |
Mar 10, 2022 | TRY 21.02 | TRY 21.14 | TRY 20.60 | TRY 20.62 | 465 791 |
Mar 09, 2022 | TRY 21.50 | TRY 21.76 | TRY 21.00 | TRY 21.08 | 1 207 335 |
Mar 08, 2022 | TRY 22.34 | TRY 23.02 | TRY 21.24 | TRY 21.38 | 2 288 748 |
Mar 07, 2022 | TRY 20.34 | TRY 22.20 | TRY 20.34 | TRY 22.20 | 2 363 838 |
Mar 04, 2022 | TRY 19.93 | TRY 20.50 | TRY 19.78 | TRY 20.38 | 1 183 383 |
Mar 03, 2022 | TRY 19.57 | TRY 19.90 | TRY 19.35 | TRY 19.59 | 355 906 |
Mar 02, 2022 | TRY 19.10 | TRY 19.72 | TRY 18.72 | TRY 19.37 | 922 439 |
Mar 01, 2022 | TRY 18.05 | TRY 18.70 | TRY 18.05 | TRY 18.58 | 322 945 |
Feb 28, 2022 | TRY 17.34 | TRY 18.15 | TRY 17.05 | TRY 18.05 | 501 542 |
Feb 25, 2022 | TRY 16.50 | TRY 17.43 | TRY 16.00 | TRY 17.43 | 816 680 |
Feb 24, 2022 | TRY 17.10 | TRY 18.50 | TRY 15.85 | TRY 15.85 | 2 570 346 |
Feb 23, 2022 | TRY 17.56 | TRY 17.68 | TRY 17.34 | TRY 17.61 | 117 863 |
Feb 22, 2022 | TRY 17.31 | TRY 17.38 | TRY 16.74 | TRY 17.32 | 184 640 |
Feb 21, 2022 | TRY 17.88 | TRY 17.92 | TRY 17.55 | TRY 17.57 | 201 903 |
Feb 18, 2022 | TRY 17.75 | TRY 17.90 | TRY 17.63 | TRY 17.74 | 174 895 |
Feb 17, 2022 | TRY 17.93 | TRY 18.07 | TRY 17.74 | TRY 17.79 | 287 744 |
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.