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 |
Oct 31, 2022 | TRY 49.36 | TRY 51.45 | TRY 48.96 | TRY 50.90 | 916 054 |
Oct 28, 2022 | TRY 50.05 | TRY 50.05 | TRY 48.52 | TRY 48.76 | 153 806 |
Oct 27, 2022 | TRY 48.92 | TRY 51.95 | TRY 48.80 | TRY 49.66 | 1 232 749 |
Oct 26, 2022 | TRY 48.44 | TRY 49.42 | TRY 48.12 | TRY 48.86 | 570 554 |
Oct 25, 2022 | TRY 48.70 | TRY 48.92 | TRY 47.52 | TRY 48.18 | 421 727 |
Oct 24, 2022 | TRY 48.68 | TRY 49.30 | TRY 48.12 | TRY 48.56 | 466 780 |
Oct 21, 2022 | TRY 48.70 | TRY 48.98 | TRY 48.24 | TRY 48.58 | 495 213 |
Oct 20, 2022 | TRY 48.38 | TRY 48.86 | TRY 48.02 | TRY 48.70 | 373 937 |
Oct 19, 2022 | TRY 47.98 | TRY 48.60 | TRY 47.82 | TRY 48.10 | 584 955 |
Oct 18, 2022 | TRY 48.56 | TRY 49.00 | TRY 47.00 | TRY 48.00 | 721 491 |
Oct 17, 2022 | TRY 48.22 | TRY 48.70 | TRY 47.90 | TRY 48.24 | 357 027 |
Oct 14, 2022 | TRY 48.30 | TRY 48.60 | TRY 48.04 | TRY 48.04 | 229 840 |
Oct 13, 2022 | TRY 48.42 | TRY 48.62 | TRY 47.72 | TRY 48.02 | 206 695 |
Oct 12, 2022 | TRY 49.50 | TRY 49.64 | TRY 47.64 | TRY 48.00 | 550 384 |
Oct 11, 2022 | TRY 49.30 | TRY 49.90 | TRY 48.64 | TRY 49.50 | 765 188 |
Oct 10, 2022 | TRY 48.98 | TRY 50.60 | TRY 48.30 | TRY 49.00 | 626 154 |
Oct 07, 2022 | TRY 48.14 | TRY 49.40 | TRY 47.70 | TRY 48.60 | 251 991 |
Oct 06, 2022 | TRY 46.80 | TRY 48.18 | TRY 46.64 | TRY 48.08 | 357 152 |
Oct 05, 2022 | TRY 46.80 | TRY 47.36 | TRY 45.94 | TRY 46.52 | 325 334 |
Oct 04, 2022 | TRY 45.40 | TRY 47.08 | TRY 44.70 | TRY 46.72 | 471 968 |
Oct 03, 2022 | TRY 44.30 | TRY 45.42 | TRY 43.78 | TRY 45.32 | 444 315 |
Sep 30, 2022 | TRY 44.62 | TRY 44.62 | TRY 43.32 | TRY 44.00 | 204 675 |
Sep 29, 2022 | TRY 45.28 | TRY 46.50 | TRY 43.04 | TRY 44.14 | 373 898 |
Sep 28, 2022 | TRY 46.50 | TRY 46.92 | TRY 45.50 | TRY 45.50 | 233 566 |
Sep 27, 2022 | TRY 46.94 | TRY 47.00 | TRY 45.36 | TRY 46.56 | 402 677 |
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.